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Merge branch 'main' into html_backend

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Signed-off-by: vaaale <2428222+vaaale@users.noreply.github.com>
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1
.actor/Dockerfile
View File

@ -64,7 +64,6 @@ ENV EASYOCR_MODULE_PATH=/tmp/easyocr-models
COPY --chown=1000:1000 .actor/actor.sh .actor/actor.sh COPY --chown=1000:1000 .actor/actor.sh .actor/actor.sh
COPY --chown=1000:1000 .actor/actor.json .actor/actor.json COPY --chown=1000:1000 .actor/actor.json .actor/actor.json
COPY --chown=1000:1000 .actor/input_schema.json .actor/input_schema.json COPY --chown=1000:1000 .actor/input_schema.json .actor/input_schema.json
COPY --chown=1000:1000 .actor/docling_processor.py .actor/docling_processor.py
RUN chmod +x .actor/actor.sh RUN chmod +x .actor/actor.sh
# Copy the build files from builder # Copy the build files from builder

6
.actor/README.md
View File

@ -2,7 +2,7 @@
[![Docling Actor](https://apify.com/actor-badge?actor=vancura/docling?fpr=docling)](https://apify.com/vancura/docling) [![Docling Actor](https://apify.com/actor-badge?actor=vancura/docling?fpr=docling)](https://apify.com/vancura/docling)
This Actor (specification v1) wraps the [Docling project](https://ds4sd.github.io/docling/) to provide serverless document processing in the cloud. It can process complex documents (PDF, DOCX, images) and convert them into structured formats (Markdown, JSON, HTML, Text, or DocTags) with optional OCR support. This Actor (specification v1) wraps the [Docling project](https://github.com/docling-project/docling) to provide serverless document processing in the cloud. It can process complex documents (PDF, DOCX, images) and convert them into structured formats (Markdown, JSON, HTML, Text, or DocTags) with optional OCR support.
## What are Actors? ## What are Actors?
@ -14,7 +14,7 @@ This Actor (specification v1) wraps the [Docling project](https://ds4sd.github.i
2. [Usage](#usage) 2. [Usage](#usage)
3. [Input Parameters](#input-parameters) 3. [Input Parameters](#input-parameters)
4. [Output](#output) 4. [Output](#output)
5. [Performance & Resources](#performance--resources) 5. [Performance and Resources](#performance-and-resources)
6. [Troubleshooting](#troubleshooting) 6. [Troubleshooting](#troubleshooting)
7. [Local Development](#local-development) 7. [Local Development](#local-development)
8. [Architecture](#architecture) 8. [Architecture](#architecture)
@ -190,7 +190,7 @@ Access logs via:
apify key-value-stores get-record DOCLING_LOG apify key-value-stores get-record DOCLING_LOG
``` ```
## Performance & Resources ## Performance and Resources
- **Docker Image Size**: ~4GB - **Docker Image Size**: ~4GB
- **Memory Requirements**: - **Memory Requirements**:

4
.actor/actor.json
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@ -1,10 +1,10 @@
{ {
"actorSpecification": 1, "actorSpecification": 1,
"name": "docling", "name": "docling",
"version": "0.0", "version": "1.0",
"environmentVariables": {}, "environmentVariables": {},
"dockerFile": "./Dockerfile", "dockerFile": "./Dockerfile",
"input": "./input_schema.json", "inputSchema": "./input_schema.json",
"scripts": { "scripts": {
"run": "./actor.sh" "run": "./actor.sh"
} }

11
.actor/actor.sh
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@ -154,17 +154,6 @@ else
echo "Warning: No build files directory found. Some tools may be unavailable." echo "Warning: No build files directory found. Some tools may be unavailable."
fi fi
# Copy Python processor script to tools directory
PYTHON_SCRIPT_PATH="$(dirname "$0")/docling_processor.py"
if [ -f "$PYTHON_SCRIPT_PATH" ]; then
echo "Copying Python processor script to tools directory..."
cp "$PYTHON_SCRIPT_PATH" "$TOOLS_DIR/"
chmod +x "$TOOLS_DIR/docling_processor.py"
else
echo "ERROR: Python processor script not found at $PYTHON_SCRIPT_PATH"
exit 1
fi
# Check OCR directories and ensure they're writable # Check OCR directories and ensure they're writable
echo "Checking OCR directory permissions..." echo "Checking OCR directory permissions..."
OCR_DIR="/opt/app-root/src/.EasyOCR" OCR_DIR="/opt/app-root/src/.EasyOCR"

25
CHANGELOG.md
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@ -1,3 +1,28 @@
## [v2.34.0](https://github.com/docling-project/docling/releases/tag/v2.34.0) - 2025-05-22
### Feature
* **ocr:** Auto-detect rotated pages in Tesseract ([#1167](https://github.com/docling-project/docling/issues/1167)) ([`45265bf`](https://github.com/docling-project/docling/commit/45265bf8b1a6d6ad5367bb3f17fb3fa9d4366a05))
* Establish confidence estimation for document and pages ([#1313](https://github.com/docling-project/docling/issues/1313)) ([`9087524`](https://github.com/docling-project/docling/commit/90875247e5813da1de17f3cd4475937e8bd45571))
### Fix
* Fix ZeroDivisionError for cell_bbox.area() ([#1636](https://github.com/docling-project/docling/issues/1636)) ([`c2f595d`](https://github.com/docling-project/docling/commit/c2f595d2830ca2e28e68c5da606e89541264f156))
* **integration:** Update the Apify Actor integration ([#1619](https://github.com/docling-project/docling/issues/1619)) ([`14d4f5b`](https://github.com/docling-project/docling/commit/14d4f5b109fa65d777ab147b3ce9b5174d020a5d))
## [v2.33.0](https://github.com/docling-project/docling/releases/tag/v2.33.0) - 2025-05-20
### Feature
* Add textbox content extraction in msword_backend ([#1538](https://github.com/docling-project/docling/issues/1538)) ([`12a0e64`](https://github.com/docling-project/docling/commit/12a0e648929ce75da73617904792a50f5145fe4a))
### Fix
* Fix issue with detecting docx files, and files with upper case extensions ([#1609](https://github.com/docling-project/docling/issues/1609)) ([`f4d9d41`](https://github.com/docling-project/docling/commit/f4d9d4111b0a6eb87fc1c05a56618fc430d1e7a2))
* Load_from_doctags static usage ([#1617](https://github.com/docling-project/docling/issues/1617)) ([`0e00a26`](https://github.com/docling-project/docling/commit/0e00a263fa0c45f6cf2ae0bd94f9387c28e51ed0))
* Incorrect force_backend_text behaviour for VLM DocTag pipelines ([#1371](https://github.com/docling-project/docling/issues/1371)) ([`f2e9c07`](https://github.com/docling-project/docling/commit/f2e9c0784c842612641171754ce51362e298088d))
* **pypdfium:** Resolve overlapping text when merging bounding boxes ([#1549](https://github.com/docling-project/docling/issues/1549)) ([`98b5eeb`](https://github.com/docling-project/docling/commit/98b5eeb8440d34ac84f58271c8b8eea88881260a))
## [v2.32.0](https://github.com/docling-project/docling/releases/tag/v2.32.0) - 2025-05-14 ## [v2.32.0](https://github.com/docling-project/docling/releases/tag/v2.32.0) - 2025-05-14
### Feature ### Feature

2
docling/backend/docling_parse_backend.py
View File

@ -60,7 +60,7 @@ class DoclingParsePageBackend(PdfPageBackend):
coord_origin=CoordOrigin.BOTTOMLEFT, coord_origin=CoordOrigin.BOTTOMLEFT,
).to_top_left_origin(page_height=page_size.height * scale) ).to_top_left_origin(page_height=page_size.height * scale)
overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area() overlap_frac = cell_bbox.intersection_over_self(bbox)
if overlap_frac > 0.5: if overlap_frac > 0.5:
if len(text_piece) > 0: if len(text_piece) > 0:

2
docling/backend/docling_parse_v2_backend.py
View File

@ -71,7 +71,7 @@ class DoclingParseV2PageBackend(PdfPageBackend):
coord_origin=CoordOrigin.BOTTOMLEFT, coord_origin=CoordOrigin.BOTTOMLEFT,
).to_top_left_origin(page_height=page_size.height * scale) ).to_top_left_origin(page_height=page_size.height * scale)
overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area() overlap_frac = cell_bbox.intersection_over_self(bbox)
if overlap_frac > 0.5: if overlap_frac > 0.5:
if len(text_piece) > 0: if len(text_piece) > 0:

2
docling/backend/docling_parse_v4_backend.py
View File

@ -46,7 +46,7 @@ class DoclingParseV4PageBackend(PdfPageBackend):
.scaled(scale) .scaled(scale)
) )
overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area() overlap_frac = cell_bbox.intersection_over_self(bbox)
if overlap_frac > 0.5: if overlap_frac > 0.5:
if len(text_piece) > 0: if len(text_piece) > 0:

101
docling/datamodel/base_models.py
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@ -1,6 +1,9 @@
import math
from collections import defaultdict
from enum import Enum from enum import Enum
from typing import TYPE_CHECKING, Dict, List, Optional, Union from typing import TYPE_CHECKING, Annotated, Dict, List, Literal, Optional, Union
import numpy as np
from docling_core.types.doc import ( from docling_core.types.doc import (
BoundingBox, BoundingBox,
DocItemLabel, DocItemLabel,
@ -16,7 +19,7 @@ from docling_core.types.io import (
DocumentStream, DocumentStream,
) )
from PIL.Image import Image from PIL.Image import Image
from pydantic import BaseModel, ConfigDict from pydantic import BaseModel, ConfigDict, Field, computed_field
if TYPE_CHECKING: if TYPE_CHECKING:
from docling.backend.pdf_backend import PdfPageBackend from docling.backend.pdf_backend import PdfPageBackend
@ -298,3 +301,97 @@ class OpenAiApiResponse(BaseModel):
choices: List[OpenAiResponseChoice] choices: List[OpenAiResponseChoice]
created: int created: int
usage: OpenAiResponseUsage usage: OpenAiResponseUsage
# Create a type alias for score values
ScoreValue = float
class QualityGrade(str, Enum):
POOR = "poor"
FAIR = "fair"
GOOD = "good"
EXCELLENT = "excellent"
UNSPECIFIED = "unspecified"
class PageConfidenceScores(BaseModel):
parse_score: ScoreValue = np.nan
layout_score: ScoreValue = np.nan
table_score: ScoreValue = np.nan
ocr_score: ScoreValue = np.nan
def _score_to_grade(self, score: ScoreValue) -> QualityGrade:
if score < 0.5:
return QualityGrade.POOR
elif score < 0.8:
return QualityGrade.FAIR
elif score < 0.9:
return QualityGrade.GOOD
elif score >= 0.9:
return QualityGrade.EXCELLENT
return QualityGrade.UNSPECIFIED
@computed_field # type: ignore
@property
def mean_grade(self) -> QualityGrade:
return self._score_to_grade(self.mean_score)
@computed_field # type: ignore
@property
def low_grade(self) -> QualityGrade:
return self._score_to_grade(self.low_score)
@computed_field # type: ignore
@property
def mean_score(self) -> ScoreValue:
return ScoreValue(
np.nanmean(
[
self.ocr_score,
self.table_score,
self.layout_score,
self.parse_score,
]
)
)
@computed_field # type: ignore
@property
def low_score(self) -> ScoreValue:
return ScoreValue(
np.nanquantile(
[
self.ocr_score,
self.table_score,
self.layout_score,
self.parse_score,
],
q=0.05,
)
)
class ConfidenceReport(PageConfidenceScores):
pages: Dict[int, PageConfidenceScores] = Field(
default_factory=lambda: defaultdict(PageConfidenceScores)
)
@computed_field # type: ignore
@property
def mean_score(self) -> ScoreValue:
return ScoreValue(
np.nanmean(
[c.mean_score for c in self.pages.values()],
)
)
@computed_field # type: ignore
@property
def low_score(self) -> ScoreValue:
return ScoreValue(
np.nanmean(
[c.low_score for c in self.pages.values()],
)
)

13
docling/datamodel/document.py
View File

@ -47,7 +47,7 @@ from docling_core.types.legacy_doc.document import (
) )
from docling_core.utils.file import resolve_source_to_stream from docling_core.utils.file import resolve_source_to_stream
from docling_core.utils.legacy import docling_document_to_legacy from docling_core.utils.legacy import docling_document_to_legacy
from pydantic import BaseModel from pydantic import BaseModel, Field
from typing_extensions import deprecated from typing_extensions import deprecated
from docling.backend.abstract_backend import ( from docling.backend.abstract_backend import (
@ -56,6 +56,7 @@ from docling.backend.abstract_backend import (
) )
from docling.datamodel.base_models import ( from docling.datamodel.base_models import (
AssembledUnit, AssembledUnit,
ConfidenceReport,
ConversionStatus, ConversionStatus,
DocumentStream, DocumentStream,
ErrorItem, ErrorItem,
@ -201,6 +202,7 @@ class ConversionResult(BaseModel):
pages: List[Page] = [] pages: List[Page] = []
assembled: AssembledUnit = AssembledUnit() assembled: AssembledUnit = AssembledUnit()
timings: Dict[str, ProfilingItem] = {} timings: Dict[str, ProfilingItem] = {}
confidence: ConfidenceReport = Field(default_factory=ConfidenceReport)
document: DoclingDocument = _EMPTY_DOCLING_DOC document: DoclingDocument = _EMPTY_DOCLING_DOC
@ -302,7 +304,7 @@ class _DocumentConversionInput(BaseModel):
if ("." in obj.name and not obj.name.startswith(".")) if ("." in obj.name and not obj.name.startswith("."))
else "" else ""
) )
mime = _DocumentConversionInput._mime_from_extension(ext) mime = _DocumentConversionInput._mime_from_extension(ext.lower())
if mime is not None and mime.lower() == "application/zip": if mime is not None and mime.lower() == "application/zip":
objname = obj.name.lower() objname = obj.name.lower()
if objname.endswith(".xlsx"): if objname.endswith(".xlsx"):
@ -376,6 +378,13 @@ class _DocumentConversionInput(BaseModel):
mime = FormatToMimeType[InputFormat.JSON_DOCLING][0] mime = FormatToMimeType[InputFormat.JSON_DOCLING][0]
elif ext in FormatToExtensions[InputFormat.PDF]: elif ext in FormatToExtensions[InputFormat.PDF]:
mime = FormatToMimeType[InputFormat.PDF][0] mime = FormatToMimeType[InputFormat.PDF][0]
elif ext in FormatToExtensions[InputFormat.DOCX]:
mime = FormatToMimeType[InputFormat.DOCX][0]
elif ext in FormatToExtensions[InputFormat.PPTX]:
mime = FormatToMimeType[InputFormat.PPTX][0]
elif ext in FormatToExtensions[InputFormat.XLSX]:
mime = FormatToMimeType[InputFormat.XLSX][0]
return mime return mime
@staticmethod @staticmethod

9
docling/models/layout_model.py
View File

@ -5,6 +5,7 @@ from collections.abc import Iterable
from pathlib import Path from pathlib import Path
from typing import Optional from typing import Optional
import numpy as np
from docling_core.types.doc import DocItemLabel from docling_core.types.doc import DocItemLabel
from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor
from PIL import Image from PIL import Image
@ -184,6 +185,14 @@ class LayoutModel(BasePageModel):
).postprocess() ).postprocess()
# processed_clusters, processed_cells = clusters, page.cells # processed_clusters, processed_cells = clusters, page.cells
conv_res.confidence.pages[page.page_no].layout_score = float(
np.mean([c.confidence for c in processed_clusters])
)
conv_res.confidence.pages[page.page_no].ocr_score = float(
np.mean([c.confidence for c in processed_cells if c.from_ocr])
)
page.cells = processed_cells page.cells = processed_cells
page.predictions.layout = LayoutPrediction( page.predictions.layout = LayoutPrediction(
clusters=processed_clusters clusters=processed_clusters

1
docling/models/page_assemble_model.py
View File

@ -3,6 +3,7 @@ import re
from collections.abc import Iterable from collections.abc import Iterable
from typing import List from typing import List
import numpy as np
from pydantic import BaseModel from pydantic import BaseModel
from docling.datamodel.base_models import ( from docling.datamodel.base_models import (

51
docling/models/page_preprocessing_model.py
View File

@ -1,11 +1,13 @@
import re
from collections.abc import Iterable from collections.abc import Iterable
from pathlib import Path from pathlib import Path
from typing import Optional from typing import Optional
import numpy as np
from PIL import ImageDraw from PIL import ImageDraw
from pydantic import BaseModel from pydantic import BaseModel
from docling.datamodel.base_models import Page from docling.datamodel.base_models import Page, ScoreValue
from docling.datamodel.document import ConversionResult from docling.datamodel.document import ConversionResult
from docling.datamodel.settings import settings from docling.datamodel.settings import settings
from docling.models.base_model import BasePageModel from docling.models.base_model import BasePageModel
@ -21,6 +23,14 @@ class PagePreprocessingModel(BasePageModel):
def __init__(self, options: PagePreprocessingOptions): def __init__(self, options: PagePreprocessingOptions):
self.options = options self.options = options
# Pre-compiled regex patterns for efficiency
self.GLYPH_RE = re.compile(r"GLYPH<[0-9A-Fa-f]+>")
self.SLASH_G_RE = re.compile(r"(?:/G\d+){2,}")
self.FRAG_RE = re.compile(r"\b[A-Za-z](?:/[a-z]{1,3}\.[a-z]{1,3}){2,}\b")
self.SLASH_NUMBER_GARBAGE_RE = re.compile(
r"(?:/\w+\s*){2,}"
) # Two or more "/token " sequences
def __call__( def __call__(
self, conv_res: ConversionResult, page_batch: Iterable[Page] self, conv_res: ConversionResult, page_batch: Iterable[Page]
) -> Iterable[Page]: ) -> Iterable[Page]:
@ -60,6 +70,18 @@ class PagePreprocessingModel(BasePageModel):
if self.options.create_parsed_page: if self.options.create_parsed_page:
page.parsed_page = page._backend.get_segmented_page() page.parsed_page = page._backend.get_segmented_page()
# Rate the text quality from the PDF parser, and aggregate on page
text_scores = []
for c in page.cells:
score = self.rate_text_quality(c.text)
text_scores.append(score)
conv_res.confidence.pages[page.page_no].parse_score = float(
np.nanquantile(
text_scores, q=0.10
) # To emphasise problems in the parse_score, we take the 10% percentile score of all text cells.
)
# DEBUG code: # DEBUG code:
def draw_text_boxes(image, cells, show: bool = False): def draw_text_boxes(image, cells, show: bool = False):
draw = ImageDraw.Draw(image) draw = ImageDraw.Draw(image)
@ -88,3 +110,30 @@ class PagePreprocessingModel(BasePageModel):
draw_text_boxes(page.get_image(scale=1.0), page.cells) draw_text_boxes(page.get_image(scale=1.0), page.cells)
return page return page
def rate_text_quality(self, text: str) -> float:
# Hard errors: if any of these patterns are found, return 0.0 immediately.
blacklist_chars = ["<EFBFBD>"]
if (
any(text.find(c) >= 0 for c in blacklist_chars)
or self.GLYPH_RE.search(text)
or self.SLASH_G_RE.search(text)
or self.SLASH_NUMBER_GARBAGE_RE.match(
text
) # Check if text is mostly slash-number pattern
):
return 0.0
penalty = 0.0
# Apply a penalty only if the fragmented words pattern occurs at least three times.
frag_matches = self.FRAG_RE.findall(text)
if len(frag_matches) >= 3:
penalty += 0.1 * len(frag_matches)
# Additional heuristic: if the average token length is below 2, add a penalty.
# tokens = text.split()
# if tokens and (sum(map(len, tokens)) / len(tokens)) < 2:
# penalty += 0.2
return max(1.0 - penalty, 0.0)

126
docling/models/tesseract_ocr_cli_model.py
View File

@ -2,6 +2,7 @@ import csv
import io import io
import logging import logging
import os import os
import subprocess
import tempfile import tempfile
from collections.abc import Iterable from collections.abc import Iterable
from pathlib import Path from pathlib import Path
@ -10,7 +11,7 @@ from typing import List, Optional, Tuple, Type
import pandas as pd import pandas as pd
from docling_core.types.doc import BoundingBox, CoordOrigin from docling_core.types.doc import BoundingBox, CoordOrigin
from docling_core.types.doc.page import BoundingRectangle, TextCell from docling_core.types.doc.page import TextCell
from docling.datamodel.base_models import Page from docling.datamodel.base_models import Page
from docling.datamodel.document import ConversionResult from docling.datamodel.document import ConversionResult
@ -21,7 +22,11 @@ from docling.datamodel.pipeline_options import (
) )
from docling.datamodel.settings import settings from docling.datamodel.settings import settings
from docling.models.base_ocr_model import BaseOcrModel from docling.models.base_ocr_model import BaseOcrModel
from docling.utils.ocr_utils import map_tesseract_script from docling.utils.ocr_utils import (
map_tesseract_script,
parse_tesseract_orientation,
tesseract_box_to_bounding_rectangle,
)
from docling.utils.profiling import TimeRecorder from docling.utils.profiling import TimeRecorder
_log = logging.getLogger(__name__) _log = logging.getLogger(__name__)
@ -49,6 +54,7 @@ class TesseractOcrCliModel(BaseOcrModel):
self._version: Optional[str] = None self._version: Optional[str] = None
self._tesseract_languages: Optional[List[str]] = None self._tesseract_languages: Optional[List[str]] = None
self._script_prefix: Optional[str] = None self._script_prefix: Optional[str] = None
self._is_auto: bool = "auto" in self.options.lang
if self.enabled: if self.enabled:
try: try:
@ -93,14 +99,13 @@ class TesseractOcrCliModel(BaseOcrModel):
return name, version return name, version
def _run_tesseract(self, ifilename: str): def _run_tesseract(self, ifilename: str, osd: pd.DataFrame):
r""" r"""
Run tesseract CLI Run tesseract CLI
""" """
cmd = [self.options.tesseract_cmd] cmd = [self.options.tesseract_cmd]
if self._is_auto:
if "auto" in self.options.lang: lang = self._parse_language(osd)
lang = self._detect_language(ifilename)
if lang is not None: if lang is not None:
cmd.append("-l") cmd.append("-l")
cmd.append(lang) cmd.append(lang)
@ -115,13 +120,12 @@ class TesseractOcrCliModel(BaseOcrModel):
cmd += [ifilename, "stdout", "tsv"] cmd += [ifilename, "stdout", "tsv"]
_log.info("command: {}".format(" ".join(cmd))) _log.info("command: {}".format(" ".join(cmd)))
proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL) output = subprocess.run(cmd, stdout=PIPE, stderr=DEVNULL, check=True)
output, _ = proc.communicate()
# _log.info(output) # _log.info(output)
# Decode the byte string to a regular string # Decode the byte string to a regular string
decoded_data = output.decode("utf-8") decoded_data = output.stdout.decode("utf-8")
# _log.info(decoded_data) # _log.info(decoded_data)
# Read the TSV file generated by Tesseract # Read the TSV file generated by Tesseract
@ -139,22 +143,24 @@ class TesseractOcrCliModel(BaseOcrModel):
return df_filtered return df_filtered
def _detect_language(self, ifilename: str): def _perform_osd(self, ifilename: str) -> pd.DataFrame:
r""" r"""
Run tesseract in PSM 0 mode to detect the language Run tesseract in PSM 0 mode to detect the language
""" """
assert self._tesseract_languages is not None
cmd = [self.options.tesseract_cmd] cmd = [self.options.tesseract_cmd]
cmd.extend(["--psm", "0", "-l", "osd", ifilename, "stdout"]) cmd.extend(["--psm", "0", "-l", "osd", ifilename, "stdout"])
_log.info("command: {}".format(" ".join(cmd))) _log.info("command: {}".format(" ".join(cmd)))
proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL) output = subprocess.run(cmd, capture_output=True, check=True)
output, _ = proc.communicate() decoded_data = output.stdout.decode("utf-8")
decoded_data = output.decode("utf-8")
df_detected = pd.read_csv( df_detected = pd.read_csv(
io.StringIO(decoded_data), sep=":", header=None, names=["key", "value"] io.StringIO(decoded_data), sep=":", header=None, names=["key", "value"]
) )
scripts = df_detected.loc[df_detected["key"] == "Script"].value.tolist() return df_detected
def _parse_language(self, df_osd: pd.DataFrame) -> Optional[str]:
assert self._tesseract_languages is not None
scripts = df_osd.loc[df_osd["key"] == "Script"].value.tolist()
if len(scripts) == 0: if len(scripts) == 0:
_log.warning("Tesseract cannot detect the script of the page") _log.warning("Tesseract cannot detect the script of the page")
return None return None
@ -182,9 +188,8 @@ class TesseractOcrCliModel(BaseOcrModel):
cmd = [self.options.tesseract_cmd] cmd = [self.options.tesseract_cmd]
cmd.append("--list-langs") cmd.append("--list-langs")
_log.info("command: {}".format(" ".join(cmd))) _log.info("command: {}".format(" ".join(cmd)))
proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL) output = subprocess.run(cmd, stdout=PIPE, stderr=DEVNULL, check=True)
output, _ = proc.communicate() decoded_data = output.stdout.decode("utf-8")
decoded_data = output.decode("utf-8")
df_list = pd.read_csv(io.StringIO(decoded_data), header=None) df_list = pd.read_csv(io.StringIO(decoded_data), header=None)
self._tesseract_languages = df_list[0].tolist()[1:] self._tesseract_languages = df_list[0].tolist()[1:]
@ -203,7 +208,7 @@ class TesseractOcrCliModel(BaseOcrModel):
yield from page_batch yield from page_batch
return return
for page in page_batch: for page_i, page in enumerate(page_batch):
assert page._backend is not None assert page._backend is not None
if not page._backend.is_valid(): if not page._backend.is_valid():
yield page yield page
@ -212,7 +217,7 @@ class TesseractOcrCliModel(BaseOcrModel):
ocr_rects = self.get_ocr_rects(page) ocr_rects = self.get_ocr_rects(page)
all_ocr_cells = [] all_ocr_cells = []
for ocr_rect in ocr_rects: for ocr_rect_i, ocr_rect in enumerate(ocr_rects):
# Skip zero area boxes # Skip zero area boxes
if ocr_rect.area() == 0: if ocr_rect.area() == 0:
continue continue
@ -225,8 +230,42 @@ class TesseractOcrCliModel(BaseOcrModel):
) as image_file: ) as image_file:
fname = image_file.name fname = image_file.name
high_res_image.save(image_file) high_res_image.save(image_file)
doc_orientation = 0
df_result = self._run_tesseract(fname) try:
df_osd = self._perform_osd(fname)
doc_orientation = _parse_orientation(df_osd)
except subprocess.CalledProcessError as exc:
_log.error(
"OSD failed (doc %s, page: %s, "
"OCR rectangle: %s, processed image file %s):\n %s",
conv_res.input.file,
page_i,
ocr_rect_i,
image_file,
exc.stderr,
)
# Skipping if OSD fail when in auto mode, otherwise proceed
# to OCR in the hope OCR will succeed while OSD failed
if self._is_auto:
continue
if doc_orientation != 0:
high_res_image = high_res_image.rotate(
-doc_orientation, expand=True
)
high_res_image.save(fname)
try:
df_result = self._run_tesseract(fname, df_osd)
except subprocess.CalledProcessError as exc:
_log.error(
"tesseract OCR failed (doc %s, page: %s, "
"OCR rectangle: %s, processed image file %s):\n %s",
conv_res.input.file,
page_i,
ocr_rect_i,
image_file,
exc.stderr,
)
continue
finally: finally:
if os.path.exists(fname): if os.path.exists(fname):
os.remove(fname) os.remove(fname)
@ -238,31 +277,30 @@ class TesseractOcrCliModel(BaseOcrModel):
text = row["text"] text = row["text"]
conf = row["conf"] conf = row["conf"]
l = float(row["left"]) # noqa: E741 left, top = float(row["left"]), float(row["top"])
b = float(row["top"]) right = left + float(row["width"])
w = float(row["width"]) bottom = top + row["height"]
h = float(row["height"]) bbox = BoundingBox(
l=left,
t = b + h t=top,
r = l + w r=right,
b=bottom,
coord_origin=CoordOrigin.TOPLEFT,
)
rect = tesseract_box_to_bounding_rectangle(
bbox,
original_offset=ocr_rect,
scale=self.scale,
orientation=doc_orientation,
im_size=high_res_image.size,
)
cell = TextCell( cell = TextCell(
index=ix, index=ix,
text=str(text), text=str(text),
orig=str(text), orig=str(text),
from_ocr=True, from_ocr=True,
confidence=conf / 100.0, confidence=conf / 100.0,
rect=BoundingRectangle.from_bounding_box( rect=rect,
BoundingBox.from_tuple(
coord=(
(l / self.scale) + ocr_rect.l,
(b / self.scale) + ocr_rect.t,
(r / self.scale) + ocr_rect.l,
(t / self.scale) + ocr_rect.t,
),
origin=CoordOrigin.TOPLEFT,
)
),
) )
all_ocr_cells.append(cell) all_ocr_cells.append(cell)
@ -278,3 +316,9 @@ class TesseractOcrCliModel(BaseOcrModel):
@classmethod @classmethod
def get_options_type(cls) -> Type[OcrOptions]: def get_options_type(cls) -> Type[OcrOptions]:
return TesseractCliOcrOptions return TesseractCliOcrOptions
def _parse_orientation(df_osd: pd.DataFrame) -> int:
orientations = df_osd.loc[df_osd["key"] == "Orientation in degrees"].value.tolist()
orientation = parse_tesseract_orientation(orientations[0].strip())
return orientation

76
docling/models/tesseract_ocr_model.py
View File

@ -1,12 +1,11 @@
from __future__ import annotations from __future__ import annotations
import logging import logging
from collections.abc import Iterable
from pathlib import Path from pathlib import Path
from typing import Optional, Type from typing import Iterable, Optional, Type
from docling_core.types.doc import BoundingBox, CoordOrigin from docling_core.types.doc import BoundingBox, CoordOrigin
from docling_core.types.doc.page import BoundingRectangle, TextCell from docling_core.types.doc.page import TextCell
from docling.datamodel.base_models import Page from docling.datamodel.base_models import Page
from docling.datamodel.document import ConversionResult from docling.datamodel.document import ConversionResult
@ -17,7 +16,11 @@ from docling.datamodel.pipeline_options import (
) )
from docling.datamodel.settings import settings from docling.datamodel.settings import settings
from docling.models.base_ocr_model import BaseOcrModel from docling.models.base_ocr_model import BaseOcrModel
from docling.utils.ocr_utils import map_tesseract_script from docling.utils.ocr_utils import (
map_tesseract_script,
parse_tesseract_orientation,
tesseract_box_to_bounding_rectangle,
)
from docling.utils.profiling import TimeRecorder from docling.utils.profiling import TimeRecorder
_log = logging.getLogger(__name__) _log = logging.getLogger(__name__)
@ -38,7 +41,7 @@ class TesseractOcrModel(BaseOcrModel):
accelerator_options=accelerator_options, accelerator_options=accelerator_options,
) )
self.options: TesseractOcrOptions self.options: TesseractOcrOptions
self._is_auto: bool = "auto" in self.options.lang
self.scale = 3 # multiplier for 72 dpi == 216 dpi. self.scale = 3 # multiplier for 72 dpi == 216 dpi.
self.reader = None self.reader = None
self.script_readers: dict[str, tesserocr.PyTessBaseAPI] = {} self.script_readers: dict[str, tesserocr.PyTessBaseAPI] = {}
@ -95,13 +98,13 @@ class TesseractOcrModel(BaseOcrModel):
if lang == "auto": if lang == "auto":
self.reader = tesserocr.PyTessBaseAPI(**tesserocr_kwargs) self.reader = tesserocr.PyTessBaseAPI(**tesserocr_kwargs)
self.osd_reader = tesserocr.PyTessBaseAPI(
**{"lang": "osd", "psm": tesserocr.PSM.OSD_ONLY} | tesserocr_kwargs
)
else: else:
self.reader = tesserocr.PyTessBaseAPI( self.reader = tesserocr.PyTessBaseAPI(
**{"lang": lang} | tesserocr_kwargs, **{"lang": lang} | tesserocr_kwargs,
) )
self.osd_reader = tesserocr.PyTessBaseAPI(
**{"lang": "osd", "psm": tesserocr.PSM.OSD_ONLY} | tesserocr_kwargs
)
self.reader_RIL = tesserocr.RIL self.reader_RIL = tesserocr.RIL
def __del__(self): def __del__(self):
@ -118,19 +121,20 @@ class TesseractOcrModel(BaseOcrModel):
yield from page_batch yield from page_batch
return return
for page in page_batch: for page_i, page in enumerate(page_batch):
assert page._backend is not None assert page._backend is not None
if not page._backend.is_valid(): if not page._backend.is_valid():
yield page yield page
else: else:
with TimeRecorder(conv_res, "ocr"): with TimeRecorder(conv_res, "ocr"):
assert self.reader is not None assert self.reader is not None
assert self.osd_reader is not None
assert self._tesserocr_languages is not None assert self._tesserocr_languages is not None
ocr_rects = self.get_ocr_rects(page) ocr_rects = self.get_ocr_rects(page)
all_ocr_cells = [] all_ocr_cells = []
for ocr_rect in ocr_rects: for ocr_rect_i, ocr_rect in enumerate(ocr_rects):
# Skip zero area boxes # Skip zero area boxes
if ocr_rect.area() == 0: if ocr_rect.area() == 0:
continue continue
@ -139,16 +143,27 @@ class TesseractOcrModel(BaseOcrModel):
) )
local_reader = self.reader local_reader = self.reader
if "auto" in self.options.lang:
assert self.osd_reader is not None
self.osd_reader.SetImage(high_res_image) self.osd_reader.SetImage(high_res_image)
osd = self.osd_reader.DetectOrientationScript() osd = self.osd_reader.DetectOrientationScript()
# No text, or Orientation and Script detection failure
# No text, probably
if osd is None: if osd is None:
_log.error(
"OSD failed for doc (doc %s, page: %s, "
"OCR rectangle: %s)",
conv_res.input.file,
page_i,
ocr_rect_i,
)
# Skipping if OSD fail when in auto mode, otherwise proceed
# to OCR in the hope OCR will succeed while OSD failed
if self._is_auto:
continue continue
doc_orientation = parse_tesseract_orientation(osd["orient_deg"])
if doc_orientation != 0:
high_res_image = high_res_image.rotate(
-doc_orientation, expand=True
)
if self._is_auto:
script = osd["script_name"] script = osd["script_name"]
script = map_tesseract_script(script) script = map_tesseract_script(script)
lang = f"{self.script_prefix}{script}" lang = f"{self.script_prefix}{script}"
@ -188,11 +203,23 @@ class TesseractOcrModel(BaseOcrModel):
# Extract text within the bounding box # Extract text within the bounding box
text = local_reader.GetUTF8Text().strip() text = local_reader.GetUTF8Text().strip()
confidence = local_reader.MeanTextConf() confidence = local_reader.MeanTextConf()
left = box["x"] / self.scale left, top = box["x"], box["y"]
bottom = box["y"] / self.scale right = left + box["w"]
right = (box["x"] + box["w"]) / self.scale bottom = top + box["h"]
top = (box["y"] + box["h"]) / self.scale bbox = BoundingBox(
l=left,
t=top,
r=right,
b=bottom,
coord_origin=CoordOrigin.TOPLEFT,
)
rect = tesseract_box_to_bounding_rectangle(
bbox,
original_offset=ocr_rect,
scale=self.scale,
orientation=doc_orientation,
im_size=high_res_image.size,
)
cells.append( cells.append(
TextCell( TextCell(
index=ix, index=ix,
@ -200,12 +227,7 @@ class TesseractOcrModel(BaseOcrModel):
orig=text, orig=text,
from_ocr=True, from_ocr=True,
confidence=confidence, confidence=confidence,
rect=BoundingRectangle.from_bounding_box( rect=rect,
BoundingBox.from_tuple(
coord=(left, top, right, bottom),
origin=CoordOrigin.TOPLEFT,
),
),
) )
) )

31
docling/pipeline/standard_pdf_pipeline.py
View File

@ -3,11 +3,12 @@ import warnings
from pathlib import Path from pathlib import Path
from typing import Optional, cast from typing import Optional, cast
import numpy as np
from docling_core.types.doc import DocItem, ImageRef, PictureItem, TableItem from docling_core.types.doc import DocItem, ImageRef, PictureItem, TableItem
from docling.backend.abstract_backend import AbstractDocumentBackend from docling.backend.abstract_backend import AbstractDocumentBackend
from docling.backend.pdf_backend import PdfDocumentBackend from docling.backend.pdf_backend import PdfDocumentBackend
from docling.datamodel.base_models import AssembledUnit, Page from docling.datamodel.base_models import AssembledUnit, Page, PageConfidenceScores
from docling.datamodel.document import ConversionResult from docling.datamodel.document import ConversionResult
from docling.datamodel.pipeline_options import PdfPipelineOptions from docling.datamodel.pipeline_options import PdfPipelineOptions
from docling.datamodel.settings import settings from docling.datamodel.settings import settings
@ -60,7 +61,7 @@ class StandardPdfPipeline(PaginatedPipeline):
or self.pipeline_options.generate_table_images or self.pipeline_options.generate_table_images
) )
self.glm_model = ReadingOrderModel(options=ReadingOrderOptions()) self.reading_order_model = ReadingOrderModel(options=ReadingOrderOptions())
ocr_model = self.get_ocr_model(artifacts_path=artifacts_path) ocr_model = self.get_ocr_model(artifacts_path=artifacts_path)
@ -197,7 +198,7 @@ class StandardPdfPipeline(PaginatedPipeline):
elements=all_elements, headers=all_headers, body=all_body elements=all_elements, headers=all_headers, body=all_body
) )
conv_res.document = self.glm_model(conv_res) conv_res.document = self.reading_order_model(conv_res)
# Generate page images in the output # Generate page images in the output
if self.pipeline_options.generate_page_images: if self.pipeline_options.generate_page_images:
@ -244,6 +245,30 @@ class StandardPdfPipeline(PaginatedPipeline):
cropped_im, dpi=int(72 * scale) cropped_im, dpi=int(72 * scale)
) )
# Aggregate confidence values for document:
if len(conv_res.pages) > 0:
conv_res.confidence.layout_score = float(
np.nanmean(
[c.layout_score for c in conv_res.confidence.pages.values()]
)
)
conv_res.confidence.parse_score = float(
np.nanquantile(
[c.parse_score for c in conv_res.confidence.pages.values()],
q=0.1, # parse score should relate to worst 10% of pages.
)
)
conv_res.confidence.table_score = float(
np.nanmean(
[c.table_score for c in conv_res.confidence.pages.values()]
)
)
conv_res.confidence.ocr_score = float(
np.nanmean(
[c.ocr_score for c in conv_res.confidence.pages.values()]
)
)
return conv_res return conv_res
@classmethod @classmethod

18
docling/pipeline/vlm_pipeline.py
View File

@ -3,7 +3,7 @@ from io import BytesIO
from pathlib import Path from pathlib import Path
from typing import List, Optional, Union, cast from typing import List, Optional, Union, cast
# from docling_core.types import DoclingDocument from docling_core.types import DoclingDocument
from docling_core.types.doc import BoundingBox, DocItem, ImageRef, PictureItem, TextItem from docling_core.types.doc import BoundingBox, DocItem, ImageRef, PictureItem, TextItem
from docling_core.types.doc.document import DocTagsDocument from docling_core.types.doc.document import DocTagsDocument
from PIL import Image as PILImage from PIL import Image as PILImage
@ -133,24 +133,22 @@ class VlmPipeline(PaginatedPipeline):
doctags_doc = DocTagsDocument.from_doctags_and_image_pairs( doctags_doc = DocTagsDocument.from_doctags_and_image_pairs(
doctags_list_c, image_list_c doctags_list_c, image_list_c
) )
conv_res.document.load_from_doctags(doctags_doc) conv_res.document = DoclingDocument.load_from_doctags(doctags_doc)
# If forced backend text, replace model predicted text with backend one # If forced backend text, replace model predicted text with backend one
if page.size:
if self.force_backend_text: if self.force_backend_text:
scale = self.pipeline_options.images_scale scale = self.pipeline_options.images_scale
for element, _level in conv_res.document.iterate_items(): for element, _level in conv_res.document.iterate_items():
if ( if not isinstance(element, TextItem) or len(element.prov) == 0:
not isinstance(element, TextItem) continue
or len(element.prov) == 0 page_ix = element.prov[0].page_no - 1
): page = conv_res.pages[page_ix]
if not page.size:
continue continue
crop_bbox = ( crop_bbox = (
element.prov[0] element.prov[0]
.bbox.scaled(scale=scale) .bbox.scaled(scale=scale)
.to_top_left_origin( .to_top_left_origin(page_height=page.size.height * scale)
page_height=page.size.height * scale
)
) )
txt = self.extract_text_from_backend(page, crop_bbox) txt = self.extract_text_from_backend(page, crop_bbox)
element.text = txt element.text = txt

28
docling/utils/layout_postprocessor.py
View File

@ -90,17 +90,12 @@ class SpatialClusterIndex:
containment_threshold: float, containment_threshold: float,
) -> bool: ) -> bool:
"""Check if two bboxes overlap sufficiently.""" """Check if two bboxes overlap sufficiently."""
area1, area2 = bbox1.area(), bbox2.area() if bbox1.area() <= 0 or bbox2.area() <= 0:
if area1 <= 0 or area2 <= 0:
return False return False
overlap_area = bbox1.intersection_area_with(bbox2) iou = bbox1.intersection_over_union(bbox2)
if overlap_area <= 0: containment1 = bbox1.intersection_over_self(bbox2)
return False containment2 = bbox2.intersection_over_self(bbox1)
iou = overlap_area / (area1 + area2 - overlap_area)
containment1 = overlap_area / area1
containment2 = overlap_area / area2
return ( return (
iou > overlap_threshold iou > overlap_threshold
@ -321,9 +316,7 @@ class LayoutPostprocessor:
for special in special_clusters: for special in special_clusters:
contained = [] contained = []
for cluster in self.regular_clusters: for cluster in self.regular_clusters:
overlap = cluster.bbox.intersection_area_with(special.bbox) containment = cluster.bbox.intersection_over_self(special.bbox)
if overlap > 0:
containment = overlap / cluster.bbox.area()
if containment > 0.8: if containment > 0.8:
contained.append(cluster) contained.append(cluster)
@ -379,9 +372,7 @@ class LayoutPostprocessor:
for regular in self.regular_clusters: for regular in self.regular_clusters:
if regular.label == DocItemLabel.TABLE: if regular.label == DocItemLabel.TABLE:
# Calculate overlap # Calculate overlap
overlap = regular.bbox.intersection_area_with(wrapper.bbox) overlap_ratio = wrapper.bbox.intersection_over_self(regular.bbox)
wrapper_area = wrapper.bbox.area()
overlap_ratio = overlap / wrapper_area
conf_diff = wrapper.confidence - regular.confidence conf_diff = wrapper.confidence - regular.confidence
@ -421,8 +412,7 @@ class LayoutPostprocessor:
# Rule 2: CODE vs others # Rule 2: CODE vs others
if candidate.label == DocItemLabel.CODE: if candidate.label == DocItemLabel.CODE:
# Calculate how much of the other cluster is contained within the CODE cluster # Calculate how much of the other cluster is contained within the CODE cluster
overlap = other.bbox.intersection_area_with(candidate.bbox) containment = other.bbox.intersection_over_self(candidate.bbox)
containment = overlap / other.bbox.area()
if containment > 0.8: # other is 80% contained within CODE if containment > 0.8: # other is 80% contained within CODE
return True return True
@ -586,11 +576,9 @@ class LayoutPostprocessor:
if cell.rect.to_bounding_box().area() <= 0: if cell.rect.to_bounding_box().area() <= 0:
continue continue
overlap = cell.rect.to_bounding_box().intersection_area_with( overlap_ratio = cell.rect.to_bounding_box().intersection_over_self(
cluster.bbox cluster.bbox
) )
overlap_ratio = overlap / cell.rect.to_bounding_box().area()
if overlap_ratio > best_overlap: if overlap_ratio > best_overlap:
best_overlap = overlap_ratio best_overlap = overlap_ratio
best_cluster = cluster best_cluster = cluster

60
docling/utils/ocr_utils.py
View File

@ -1,3 +1,11 @@
from typing import Optional, Tuple
from docling_core.types.doc import BoundingBox, CoordOrigin
from docling_core.types.doc.page import BoundingRectangle
from docling.utils.orientation import CLIPPED_ORIENTATIONS, rotate_bounding_box
def map_tesseract_script(script: str) -> str: def map_tesseract_script(script: str) -> str:
r""" """ r""" """
if script == "Katakana" or script == "Hiragana": if script == "Katakana" or script == "Hiragana":
@ -7,3 +15,55 @@ def map_tesseract_script(script: str) -> str:
elif script == "Korean": elif script == "Korean":
script = "Hangul" script = "Hangul"
return script return script
def parse_tesseract_orientation(orientation: str) -> int:
# Tesseract orientation is [0, 90, 180, 270] clockwise, bounding rectangle angles
# are [0, 360[ counterclockwise
parsed = int(orientation)
if parsed not in CLIPPED_ORIENTATIONS:
msg = (
f"invalid tesseract document orientation {orientation}, "
f"expected orientation: {sorted(CLIPPED_ORIENTATIONS)}"
)
raise ValueError(msg)
parsed = -parsed
parsed %= 360
return parsed
def tesseract_box_to_bounding_rectangle(
bbox: BoundingBox,
*,
original_offset: Optional[BoundingBox] = None,
scale: float,
orientation: int,
im_size: Tuple[int, int],
) -> BoundingRectangle:
# box is in the top, left, height, width format, top left coordinates
rect = rotate_bounding_box(bbox, angle=-orientation, im_size=im_size)
rect = BoundingRectangle(
r_x0=rect.r_x0 / scale,
r_y0=rect.r_y0 / scale,
r_x1=rect.r_x1 / scale,
r_y1=rect.r_y1 / scale,
r_x2=rect.r_x2 / scale,
r_y2=rect.r_y2 / scale,
r_x3=rect.r_x3 / scale,
r_y3=rect.r_y3 / scale,
coord_origin=CoordOrigin.TOPLEFT,
)
if original_offset is not None:
if original_offset.coord_origin is not CoordOrigin.TOPLEFT:
msg = f"expected coordinate origin to be {CoordOrigin.TOPLEFT.value}"
raise ValueError(msg)
if original_offset is not None:
rect.r_x0 += original_offset.l
rect.r_x1 += original_offset.l
rect.r_x2 += original_offset.l
rect.r_x3 += original_offset.l
rect.r_y0 += original_offset.t
rect.r_y1 += original_offset.t
rect.r_y2 += original_offset.t
rect.r_y3 += original_offset.t
return rect

71
docling/utils/orientation.py Normal file
View File

@ -0,0 +1,71 @@
from typing import Tuple
from docling_core.types.doc import BoundingBox, CoordOrigin
from docling_core.types.doc.page import BoundingRectangle
CLIPPED_ORIENTATIONS = [0, 90, 180, 270]
def rotate_bounding_box(
bbox: BoundingBox, angle: int, im_size: Tuple[int, int]
) -> BoundingRectangle:
# The box is left top width height in TOPLEFT coordinates
# Bounding rectangle start with r_0 at the bottom left whatever the
# coordinate system. Then other corners are found rotating counterclockwise
bbox = bbox.to_top_left_origin(im_size[1])
left, top, width, height = bbox.l, bbox.t, bbox.width, bbox.height
im_h, im_w = im_size
angle = angle % 360
if angle == 0:
r_x0 = left
r_y0 = top + height
r_x1 = r_x0 + width
r_y1 = r_y0
r_x2 = r_x0 + width
r_y2 = r_y0 - height
r_x3 = r_x0
r_y3 = r_y0 - height
elif angle == 90:
r_x0 = im_w - (top + height)
r_y0 = left
r_x1 = r_x0
r_y1 = r_y0 + width
r_x2 = r_x0 + height
r_y2 = r_y0 + width
r_x3 = r_x0
r_y3 = r_y0 + width
elif angle == 180:
r_x0 = im_h - left
r_y0 = im_w - (top + height)
r_x1 = r_x0 - width
r_y1 = r_y0
r_x2 = r_x0 - width
r_y2 = r_y0 + height
r_x3 = r_x0
r_y3 = r_y0 + height
elif angle == 270:
r_x0 = top + height
r_y0 = im_h - left
r_x1 = r_x0
r_y1 = r_y0 - width
r_x2 = r_x0 - height
r_y2 = r_y0 - width
r_x3 = r_x0 - height
r_y3 = r_y0
else:
msg = (
f"invalid orientation {angle}, expected values in:"
f" {sorted(CLIPPED_ORIENTATIONS)}"
)
raise ValueError(msg)
return BoundingRectangle(
r_x0=r_x0,
r_y0=r_y0,
r_x1=r_x1,
r_y1=r_y1,
r_x2=r_x2,
r_y2=r_y2,
r_x3=r_x3,
r_y3=r_y3,
coord_origin=CoordOrigin.TOPLEFT,
)

9
poetry.lock generated
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[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.9" python-versions = "^3.9"
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4
pyproject.toml
View File

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[tool.poetry] [tool.poetry]
name = "docling" name = "docling"
version = "2.32.0" # DO NOT EDIT, updated automatically version = "2.34.0" # DO NOT EDIT, updated automatically
description = "SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications." description = "SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications."
authors = [ authors = [
"Christoph Auer <cau@zurich.ibm.com>", "Christoph Auer <cau@zurich.ibm.com>",
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###################### ######################
python = "^3.9" python = "^3.9"
pydantic = "^2.0.0" pydantic = "^2.0.0"
docling-core = {version = "^2.26.0", extras = ["chunking"]} docling-core = {version = "^2.29.0", extras = ["chunking"]}
docling-ibm-models = "^3.4.0" docling-ibm-models = "^3.4.0"
docling-parse = "^4.0.0" docling-parse = "^4.0.0"
filetype = "^1.2.0" filetype = "^1.2.0"

110
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12
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@ -7037,7 +7037,7 @@
"b": 704.5687238902275, "b": 704.5687238902275,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8504503965377808, "confidence": 0.8504500389099121,
"cells": [ "cells": [
{ {
"index": 46, "index": 46,
@ -7092,7 +7092,7 @@
"b": 137.5481507594625, "b": 137.5481507594625,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.9505067467689514, "confidence": 0.950506865978241,
"cells": [ "cells": [
{ {
"index": 0, "index": 0,
@ -7630,7 +7630,7 @@
"b": 373.7119120634245, "b": 373.7119120634245,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8727476000785828, "confidence": 0.8727474808692932,
"cells": [ "cells": [
{ {
"index": 19, "index": 19,
@ -8389,7 +8389,7 @@
"b": 704.5687238902275, "b": 704.5687238902275,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8504503965377808, "confidence": 0.8504500389099121,
"cells": [ "cells": [
{ {
"index": 46, "index": 46,
@ -8437,7 +8437,7 @@
"b": 137.5481507594625, "b": 137.5481507594625,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.9505067467689514, "confidence": 0.950506865978241,
"cells": [ "cells": [
{ {
"index": 0, "index": 0,
@ -8975,7 +8975,7 @@
"b": 373.7119120634245, "b": 373.7119120634245,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8727476000785828, "confidence": 0.8727474808692932,
"cells": [ "cells": [
{ {
"index": 19, "index": 19,
@ -9736,7 +9736,7 @@
"b": 704.5687238902275, "b": 704.5687238902275,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8504503965377808, "confidence": 0.8504500389099121,
"cells": [ "cells": [
{ {
"index": 46, "index": 46,

56
tests/data/groundtruth/docling_v2/equations.docx.json
View File

@ -245,7 +245,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "And that is an equation by itself. Cheers!", "orig": "And that is an equation by itself. Cheers!",
"text": "And that is an equation by itself. Cheers!" "text": "And that is an equation by itself. Cheers!",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/6", "self_ref": "#/texts/6",
@ -269,7 +275,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "This is another equation:", "orig": "This is another equation:",
"text": "This is another equation:" "text": "This is another equation:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/8", "self_ref": "#/texts/8",
@ -305,7 +317,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.", "orig": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.",
"text": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text." "text": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/11", "self_ref": "#/texts/11",
@ -413,7 +431,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "And that is an equation by itself. Cheers!", "orig": "And that is an equation by itself. Cheers!",
"text": "And that is an equation by itself. Cheers!" "text": "And that is an equation by itself. Cheers!",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/20", "self_ref": "#/texts/20",
@ -437,7 +461,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "This is another equation:", "orig": "This is another equation:",
"text": "This is another equation:" "text": "This is another equation:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/22", "self_ref": "#/texts/22",
@ -485,7 +515,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.", "orig": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.",
"text": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text." "text": "This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text. This is text.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/26", "self_ref": "#/texts/26",
@ -593,7 +629,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "And that is an equation by itself. Cheers!", "orig": "And that is an equation by itself. Cheers!",
"text": "And that is an equation by itself. Cheers!" "text": "And that is an equation by itself. Cheers!",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/35", "self_ref": "#/texts/35",

40
tests/data/groundtruth/docling_v2/lorem_ipsum.docx.json
View File

@ -61,7 +61,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin elit mi, fermentum vitae dolor facilisis, porttitor mollis quam. Cras quam massa, venenatis faucibus libero vel, euismod sollicitudin ipsum. Aliquam semper sapien leo, ac ultrices nibh mollis congue. Cras luctus ultrices est, ut scelerisque eros euismod ut. Curabitur ac tincidunt felis, non scelerisque lectus. Praesent sollicitudin vulputate est id consequat. Vestibulum pharetra ligula sit amet varius porttitor. Sed eros diam, gravida non varius at, scelerisque in libero. Ut auctor finibus mauris sit amet ornare. Sed facilisis leo at urna rhoncus, in facilisis arcu eleifend. Sed tincidunt lacinia fermentum. Cras non purus fringilla, semper quam non, sodales sem. Nulla facilisi.", "orig": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin elit mi, fermentum vitae dolor facilisis, porttitor mollis quam. Cras quam massa, venenatis faucibus libero vel, euismod sollicitudin ipsum. Aliquam semper sapien leo, ac ultrices nibh mollis congue. Cras luctus ultrices est, ut scelerisque eros euismod ut. Curabitur ac tincidunt felis, non scelerisque lectus. Praesent sollicitudin vulputate est id consequat. Vestibulum pharetra ligula sit amet varius porttitor. Sed eros diam, gravida non varius at, scelerisque in libero. Ut auctor finibus mauris sit amet ornare. Sed facilisis leo at urna rhoncus, in facilisis arcu eleifend. Sed tincidunt lacinia fermentum. Cras non purus fringilla, semper quam non, sodales sem. Nulla facilisi.",
"text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin elit mi, fermentum vitae dolor facilisis, porttitor mollis quam. Cras quam massa, venenatis faucibus libero vel, euismod sollicitudin ipsum. Aliquam semper sapien leo, ac ultrices nibh mollis congue. Cras luctus ultrices est, ut scelerisque eros euismod ut. Curabitur ac tincidunt felis, non scelerisque lectus. Praesent sollicitudin vulputate est id consequat. Vestibulum pharetra ligula sit amet varius porttitor. Sed eros diam, gravida non varius at, scelerisque in libero. Ut auctor finibus mauris sit amet ornare. Sed facilisis leo at urna rhoncus, in facilisis arcu eleifend. Sed tincidunt lacinia fermentum. Cras non purus fringilla, semper quam non, sodales sem. Nulla facilisi." "text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin elit mi, fermentum vitae dolor facilisis, porttitor mollis quam. Cras quam massa, venenatis faucibus libero vel, euismod sollicitudin ipsum. Aliquam semper sapien leo, ac ultrices nibh mollis congue. Cras luctus ultrices est, ut scelerisque eros euismod ut. Curabitur ac tincidunt felis, non scelerisque lectus. Praesent sollicitudin vulputate est id consequat. Vestibulum pharetra ligula sit amet varius porttitor. Sed eros diam, gravida non varius at, scelerisque in libero. Ut auctor finibus mauris sit amet ornare. Sed facilisis leo at urna rhoncus, in facilisis arcu eleifend. Sed tincidunt lacinia fermentum. Cras non purus fringilla, semper quam non, sodales sem. Nulla facilisi.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/1", "self_ref": "#/texts/1",
@ -85,7 +91,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Duis condimentum dui eget ullamcorper maximus. Nulla tortor lectus, hendrerit at diam fermentum, euismod ornare orci. Integer ac mauris sed augue ultricies pellentesque. Etiam condimentum turpis a risus dictum, sed tempor arcu vestibulum. Quisque at venenatis tellus. Morbi id lobortis elit. In gravida metus at ornare suscipit. Donec euismod nibh sit amet commodo porttitor. Integer commodo sit amet nisi vel accumsan. Donec lacinia posuere porta. Pellentesque vulputate porta risus, vel consectetur nisl gravida sit amet. Nam scelerisque enim sodales lacus tempor, et tristique ante aliquet.", "orig": "Duis condimentum dui eget ullamcorper maximus. Nulla tortor lectus, hendrerit at diam fermentum, euismod ornare orci. Integer ac mauris sed augue ultricies pellentesque. Etiam condimentum turpis a risus dictum, sed tempor arcu vestibulum. Quisque at venenatis tellus. Morbi id lobortis elit. In gravida metus at ornare suscipit. Donec euismod nibh sit amet commodo porttitor. Integer commodo sit amet nisi vel accumsan. Donec lacinia posuere porta. Pellentesque vulputate porta risus, vel consectetur nisl gravida sit amet. Nam scelerisque enim sodales lacus tempor, et tristique ante aliquet.",
"text": "Duis condimentum dui eget ullamcorper maximus. Nulla tortor lectus, hendrerit at diam fermentum, euismod ornare orci. Integer ac mauris sed augue ultricies pellentesque. Etiam condimentum turpis a risus dictum, sed tempor arcu vestibulum. Quisque at venenatis tellus. Morbi id lobortis elit. In gravida metus at ornare suscipit. Donec euismod nibh sit amet commodo porttitor. Integer commodo sit amet nisi vel accumsan. Donec lacinia posuere porta. Pellentesque vulputate porta risus, vel consectetur nisl gravida sit amet. Nam scelerisque enim sodales lacus tempor, et tristique ante aliquet." "text": "Duis condimentum dui eget ullamcorper maximus. Nulla tortor lectus, hendrerit at diam fermentum, euismod ornare orci. Integer ac mauris sed augue ultricies pellentesque. Etiam condimentum turpis a risus dictum, sed tempor arcu vestibulum. Quisque at venenatis tellus. Morbi id lobortis elit. In gravida metus at ornare suscipit. Donec euismod nibh sit amet commodo porttitor. Integer commodo sit amet nisi vel accumsan. Donec lacinia posuere porta. Pellentesque vulputate porta risus, vel consectetur nisl gravida sit amet. Nam scelerisque enim sodales lacus tempor, et tristique ante aliquet.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/3", "self_ref": "#/texts/3",
@ -109,7 +121,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Maecenas id neque pharetra, eleifend lectus a, vehicula sapien. Aliquam erat volutpat. Ut arcu erat, blandit id elementum at, aliquet pretium mauris. Nulla at semper orci. Nunc sed maximus metus. Duis eget tristique arcu. Phasellus fringilla augue est, ut bibendum est bibendum vitae. Nam et urna interdum, egestas velit a, consectetur metus. Pellentesque facilisis vehicula orci, eu posuere justo imperdiet non. Vestibulum tincidunt orci ac lorem consequat semper. Fusce semper sollicitudin orci, id lacinia nulla faucibus eu. Donec ut nisl metus.", "orig": "Maecenas id neque pharetra, eleifend lectus a, vehicula sapien. Aliquam erat volutpat. Ut arcu erat, blandit id elementum at, aliquet pretium mauris. Nulla at semper orci. Nunc sed maximus metus. Duis eget tristique arcu. Phasellus fringilla augue est, ut bibendum est bibendum vitae. Nam et urna interdum, egestas velit a, consectetur metus. Pellentesque facilisis vehicula orci, eu posuere justo imperdiet non. Vestibulum tincidunt orci ac lorem consequat semper. Fusce semper sollicitudin orci, id lacinia nulla faucibus eu. Donec ut nisl metus.",
"text": "Maecenas id neque pharetra, eleifend lectus a, vehicula sapien. Aliquam erat volutpat. Ut arcu erat, blandit id elementum at, aliquet pretium mauris. Nulla at semper orci. Nunc sed maximus metus. Duis eget tristique arcu. Phasellus fringilla augue est, ut bibendum est bibendum vitae. Nam et urna interdum, egestas velit a, consectetur metus. Pellentesque facilisis vehicula orci, eu posuere justo imperdiet non. Vestibulum tincidunt orci ac lorem consequat semper. Fusce semper sollicitudin orci, id lacinia nulla faucibus eu. Donec ut nisl metus." "text": "Maecenas id neque pharetra, eleifend lectus a, vehicula sapien. Aliquam erat volutpat. Ut arcu erat, blandit id elementum at, aliquet pretium mauris. Nulla at semper orci. Nunc sed maximus metus. Duis eget tristique arcu. Phasellus fringilla augue est, ut bibendum est bibendum vitae. Nam et urna interdum, egestas velit a, consectetur metus. Pellentesque facilisis vehicula orci, eu posuere justo imperdiet non. Vestibulum tincidunt orci ac lorem consequat semper. Fusce semper sollicitudin orci, id lacinia nulla faucibus eu. Donec ut nisl metus.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/5", "self_ref": "#/texts/5",
@ -133,7 +151,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Duis ac tellus sed turpis feugiat aliquam sed vel justo. Fusce sit amet volutpat massa. Duis tristique finibus metus quis tincidunt. Etiam dapibus fringilla diam at pharetra. Vivamus dolor est, hendrerit ac ligula nec, pharetra lacinia sapien. Phasellus at malesuada orci. Maecenas est justo, mollis non ultrices ut, sagittis commodo odio. Integer viverra mauris pellentesque bibendum vestibulum. Sed eu felis mattis, efficitur justo non, finibus lorem. Phasellus viverra diam et sapien imperdiet interdum. Cras a convallis libero. Integer maximus dui vel lorem hendrerit, sit amet convallis ligula lobortis. Duis eu lacus elementum, scelerisque nunc eget, dignissim libero. Suspendisse mi quam, vehicula sit amet pellentesque rhoncus, blandit eu nisl.", "orig": "Duis ac tellus sed turpis feugiat aliquam sed vel justo. Fusce sit amet volutpat massa. Duis tristique finibus metus quis tincidunt. Etiam dapibus fringilla diam at pharetra. Vivamus dolor est, hendrerit ac ligula nec, pharetra lacinia sapien. Phasellus at malesuada orci. Maecenas est justo, mollis non ultrices ut, sagittis commodo odio. Integer viverra mauris pellentesque bibendum vestibulum. Sed eu felis mattis, efficitur justo non, finibus lorem. Phasellus viverra diam et sapien imperdiet interdum. Cras a convallis libero. Integer maximus dui vel lorem hendrerit, sit amet convallis ligula lobortis. Duis eu lacus elementum, scelerisque nunc eget, dignissim libero. Suspendisse mi quam, vehicula sit amet pellentesque rhoncus, blandit eu nisl.",
"text": "Duis ac tellus sed turpis feugiat aliquam sed vel justo. Fusce sit amet volutpat massa. Duis tristique finibus metus quis tincidunt. Etiam dapibus fringilla diam at pharetra. Vivamus dolor est, hendrerit ac ligula nec, pharetra lacinia sapien. Phasellus at malesuada orci. Maecenas est justo, mollis non ultrices ut, sagittis commodo odio. Integer viverra mauris pellentesque bibendum vestibulum. Sed eu felis mattis, efficitur justo non, finibus lorem. Phasellus viverra diam et sapien imperdiet interdum. Cras a convallis libero. Integer maximus dui vel lorem hendrerit, sit amet convallis ligula lobortis. Duis eu lacus elementum, scelerisque nunc eget, dignissim libero. Suspendisse mi quam, vehicula sit amet pellentesque rhoncus, blandit eu nisl." "text": "Duis ac tellus sed turpis feugiat aliquam sed vel justo. Fusce sit amet volutpat massa. Duis tristique finibus metus quis tincidunt. Etiam dapibus fringilla diam at pharetra. Vivamus dolor est, hendrerit ac ligula nec, pharetra lacinia sapien. Phasellus at malesuada orci. Maecenas est justo, mollis non ultrices ut, sagittis commodo odio. Integer viverra mauris pellentesque bibendum vestibulum. Sed eu felis mattis, efficitur justo non, finibus lorem. Phasellus viverra diam et sapien imperdiet interdum. Cras a convallis libero. Integer maximus dui vel lorem hendrerit, sit amet convallis ligula lobortis. Duis eu lacus elementum, scelerisque nunc eget, dignissim libero. Suspendisse mi quam, vehicula sit amet pellentesque rhoncus, blandit eu nisl.",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/7", "self_ref": "#/texts/7",
@ -157,7 +181,13 @@
"label": "paragraph", "label": "paragraph",
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4
tests/data/groundtruth/docling_v2/picture_classification.json
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24
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4
tests/data/groundtruth/docling_v2/powerpoint_sample.pptx.json
View File

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52
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1014
tests/data/groundtruth/docling_v2/redp5110_sampled.pages.json
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12
tests/data/groundtruth/docling_v2/right_to_left_01.pages.json
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18
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2
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156
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"b": 481.8698388711183, "b": 481.8698388711183,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.7342240214347839, "confidence": 0.7342236638069153,
"cells": [ "cells": [
{ {
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@ -10355,7 +10355,7 @@
"b": 477.42995888151955, "b": 477.42995888151955,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.8411223888397217, "confidence": 0.8411222696304321,
"cells": [ "cells": [
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@ -10395,7 +10395,7 @@
"b": 528.3098487623228, "b": 528.3098487623228,
"coord_origin": "TOPLEFT" "coord_origin": "TOPLEFT"
}, },
"confidence": 0.7251590490341187, "confidence": 0.7251589894294739,
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@ -10460,7 +10460,7 @@
"b": 501.78997882445117, "b": 501.78997882445117,
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@ -10500,7 +10500,7 @@
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@ -10565,7 +10565,7 @@
"b": 546.69997871924, "b": 546.69997871924,
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@ -10645,7 +10645,7 @@
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@ -10695,7 +10695,7 @@
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{ {
"index": 3, "index": 3,

28
tests/data/groundtruth/docling_v2/tablecell.docx.json
View File

@ -74,6 +74,12 @@
"prov": [], "prov": [],
"orig": "Hello world1", "orig": "Hello world1",
"text": "Hello world1", "text": "Hello world1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -88,6 +94,12 @@
"prov": [], "prov": [],
"orig": "Hello2", "orig": "Hello2",
"text": "Hello2", "text": "Hello2",
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}, },
@ -113,7 +125,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Some text before", "orig": "Some text before",
"text": "Some text before" "text": "Some text before",
"formatting": {
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}
}, },
{ {
"self_ref": "#/texts/4", "self_ref": "#/texts/4",
@ -149,7 +167,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Some text after", "orig": "Some text after",
"text": "Some text after" "text": "Some text after",
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}
} }
], ],
"pictures": [], "pictures": [],

32
tests/data/groundtruth/docling_v2/test_emf_docx.docx.json
View File

@ -55,7 +55,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Test with three images in unusual formats", "orig": "Test with three images in unusual formats",
"text": "Test with three images in unusual formats" "text": "Test with three images in unusual formats",
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@ -67,7 +73,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Raster in emf:", "orig": "Raster in emf:",
"text": "Raster in emf:" "text": "Raster in emf:",
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{ {
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@ -79,7 +91,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Vector in emf:", "orig": "Vector in emf:",
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@ -91,7 +109,13 @@
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"orig": "Raster in webp:", "orig": "Raster in webp:",
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} }
], ],
"pictures": [ "pictures": [

48
tests/data/groundtruth/docling_v2/unit_test_formatting.docx.json
View File

@ -232,6 +232,12 @@
"prov": [], "prov": [],
"orig": "hyperlink", "orig": "hyperlink",
"text": "hyperlink", "text": "hyperlink",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"hyperlink": "https:/github.com/DS4SD/docling" "hyperlink": "https:/github.com/DS4SD/docling"
}, },
{ {
@ -263,7 +269,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Normal", "orig": "Normal",
"text": "Normal" "text": "Normal",
"formatting": {
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"underline": false,
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}
}, },
{ {
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@ -329,7 +341,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "and", "orig": "and",
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}
}, },
{ {
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@ -342,6 +360,12 @@
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"orig": "hyperlink", "orig": "hyperlink",
"text": "hyperlink", "text": "hyperlink",
"formatting": {
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},
"hyperlink": "https:/github.com/DS4SD/docling" "hyperlink": "https:/github.com/DS4SD/docling"
}, },
{ {
@ -354,7 +378,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "on the same line", "orig": "on the same line",
"text": "on the same line" "text": "on the same line",
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}
}, },
{ {
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@ -439,6 +469,12 @@
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"orig": "Some", "orig": "Some",
"text": "Some", "text": "Some",
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},
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}, },
@ -513,6 +549,12 @@
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"orig": "Nested", "orig": "Nested",
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"marker": "-" "marker": "-"
}, },

112
tests/data/groundtruth/docling_v2/unit_test_headers.docx.json
View File

@ -133,7 +133,13 @@
"label": "paragraph", "label": "paragraph",
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}
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{ {
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@ -157,7 +163,13 @@
"label": "paragraph", "label": "paragraph",
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{ {
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@ -222,7 +234,13 @@
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"text": "Paragraph 1.1.1" "text": "Paragraph 1.1.1",
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{ {
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@ -246,7 +264,13 @@
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@ -314,7 +338,13 @@
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"text": "Paragraph 1.1.1" "text": "Paragraph 1.1.1",
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@ -338,7 +368,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Paragraph 1.1.2", "orig": "Paragraph 1.1.2",
"text": "Paragraph 1.1.2" "text": "Paragraph 1.1.2",
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{ {
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@ -406,7 +442,13 @@
"label": "paragraph", "label": "paragraph",
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@ -430,7 +472,13 @@
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@ -513,7 +561,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Paragraph 2.1", "orig": "Paragraph 2.1",
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}
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{ {
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@ -537,7 +591,13 @@
"label": "paragraph", "label": "paragraph",
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"text": "Paragraph 2.2" "text": "Paragraph 2.2",
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{ {
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@ -602,7 +662,13 @@
"label": "paragraph", "label": "paragraph",
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@ -626,7 +692,13 @@
"label": "paragraph", "label": "paragraph",
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{ {
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@ -694,7 +766,13 @@
"label": "paragraph", "label": "paragraph",
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"text": "Paragraph 2.1.1" "text": "Paragraph 2.1.1",
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@ -718,7 +796,13 @@
"label": "paragraph", "label": "paragraph",
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{ {
"self_ref": "#/texts/44", "self_ref": "#/texts/44",

112
tests/data/groundtruth/docling_v2/unit_test_headers_numbered.docx.json
View File

@ -209,7 +209,13 @@
"label": "paragraph", "label": "paragraph",
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"orig": "Paragraph 1.1", "orig": "Paragraph 1.1",
"text": "Paragraph 1.1" "text": "Paragraph 1.1",
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}
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{ {
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@ -233,7 +239,13 @@
"label": "paragraph", "label": "paragraph",
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{ {
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@ -298,7 +310,13 @@
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{ {
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@ -322,7 +340,13 @@
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{ {
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@ -390,7 +414,13 @@
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@ -414,7 +444,13 @@
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{ {
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@ -482,7 +518,13 @@
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@ -506,7 +548,13 @@
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@ -567,7 +615,13 @@
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@ -591,7 +645,13 @@
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@ -656,7 +716,13 @@
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@ -680,7 +746,13 @@
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@ -748,7 +820,13 @@
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{ {
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@ -772,7 +850,13 @@
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{ {
"self_ref": "#/texts/44", "self_ref": "#/texts/44",

166
tests/data/groundtruth/docling_v2/unit_test_lists.docx.json
View File

@ -365,7 +365,13 @@
"label": "paragraph", "label": "paragraph",
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{ {
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@ -389,7 +395,13 @@
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{ {
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@ -434,6 +446,12 @@
"prov": [], "prov": [],
"orig": "List item 1", "orig": "List item 1",
"text": "List item 1", "text": "List item 1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -448,6 +466,12 @@
"prov": [], "prov": [],
"orig": "List item 2", "orig": "List item 2",
"text": "List item 2", "text": "List item 2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -462,6 +486,12 @@
"prov": [], "prov": [],
"orig": "List item 3", "orig": "List item 3",
"text": "List item 3", "text": "List item 3",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -508,6 +538,12 @@
"prov": [], "prov": [],
"orig": "List item a", "orig": "List item a",
"text": "List item a", "text": "List item a",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -522,6 +558,12 @@
"prov": [], "prov": [],
"orig": "List item b", "orig": "List item b",
"text": "List item b", "text": "List item b",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -536,6 +578,12 @@
"prov": [], "prov": [],
"orig": "List item c", "orig": "List item c",
"text": "List item c", "text": "List item c",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -582,6 +630,12 @@
"prov": [], "prov": [],
"orig": "List item 1", "orig": "List item 1",
"text": "List item 1", "text": "List item 1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -596,6 +650,12 @@
"prov": [], "prov": [],
"orig": "List item 2", "orig": "List item 2",
"text": "List item 2", "text": "List item 2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -610,6 +670,12 @@
"prov": [], "prov": [],
"orig": "List item 1.1", "orig": "List item 1.1",
"text": "List item 1.1", "text": "List item 1.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -624,6 +690,12 @@
"prov": [], "prov": [],
"orig": "List item 1.2", "orig": "List item 1.2",
"text": "List item 1.2", "text": "List item 1.2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -638,6 +710,12 @@
"prov": [], "prov": [],
"orig": "List item 1.3", "orig": "List item 1.3",
"text": "List item 1.3", "text": "List item 1.3",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -652,6 +730,12 @@
"prov": [], "prov": [],
"orig": "List item 3", "orig": "List item 3",
"text": "List item 3", "text": "List item 3",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -698,6 +782,12 @@
"prov": [], "prov": [],
"orig": "List item 1", "orig": "List item 1",
"text": "List item 1", "text": "List item 1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -712,6 +802,12 @@
"prov": [], "prov": [],
"orig": "List item 1.1", "orig": "List item 1.1",
"text": "List item 1.1", "text": "List item 1.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -726,6 +822,12 @@
"prov": [], "prov": [],
"orig": "List item 2", "orig": "List item 2",
"text": "List item 2", "text": "List item 2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -772,6 +874,12 @@
"prov": [], "prov": [],
"orig": "List item 1", "orig": "List item 1",
"text": "List item 1", "text": "List item 1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -786,6 +894,12 @@
"prov": [], "prov": [],
"orig": "List item 1.1", "orig": "List item 1.1",
"text": "List item 1.1", "text": "List item 1.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -800,6 +914,12 @@
"prov": [], "prov": [],
"orig": "List item 1.1.1", "orig": "List item 1.1.1",
"text": "List item 1.1.1", "text": "List item 1.1.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -814,6 +934,12 @@
"prov": [], "prov": [],
"orig": "List item 3", "orig": "List item 3",
"text": "List item 3", "text": "List item 3",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -866,6 +992,12 @@
"prov": [], "prov": [],
"orig": "List item 1", "orig": "List item 1",
"text": "List item 1", "text": "List item 1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -880,6 +1012,12 @@
"prov": [], "prov": [],
"orig": "List item 2", "orig": "List item 2",
"text": "List item 2", "text": "List item 2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -894,6 +1032,12 @@
"prov": [], "prov": [],
"orig": "List item 1.1", "orig": "List item 1.1",
"text": "List item 1.1", "text": "List item 1.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -908,6 +1052,12 @@
"prov": [], "prov": [],
"orig": "List item 1.2", "orig": "List item 1.2",
"text": "List item 1.2", "text": "List item 1.2",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -922,6 +1072,12 @@
"prov": [], "prov": [],
"orig": "List item 1.2.1", "orig": "List item 1.2.1",
"text": "List item 1.2.1", "text": "List item 1.2.1",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -936,6 +1092,12 @@
"prov": [], "prov": [],
"orig": "List item 3", "orig": "List item 3",
"text": "List item 3", "text": "List item 3",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },

691
tests/data/groundtruth/docling_v2/wiki_duck.html.json
View File

File diff suppressed because it is too large Load Diff

154
tests/data/groundtruth/docling_v2/word_sample.docx.json
View File

@ -101,7 +101,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Summer activities", "orig": "Summer activities",
"text": "Summer activities" "text": "Summer activities",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/1", "self_ref": "#/texts/1",
@ -138,7 +144,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Duck", "orig": "Duck",
"text": "Duck" "text": "Duck",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/3", "self_ref": "#/texts/3",
@ -150,7 +162,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Figure 1: This is a cute duckling", "orig": "Figure 1: This is a cute duckling",
"text": "Figure 1: This is a cute duckling" "text": "Figure 1: This is a cute duckling",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/4", "self_ref": "#/texts/4",
@ -180,8 +198,8 @@
"content_layer": "body", "content_layer": "body",
"label": "section_header", "label": "section_header",
"prov": [], "prov": [],
"orig": "Let\u2019s swim!", "orig": "Let’s swim!",
"text": "Let\u2019s swim!", "text": "Let’s swim!",
"level": 1 "level": 1
}, },
{ {
@ -194,7 +212,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "To get started with swimming, first lay down in a water and try not to drown:", "orig": "To get started with swimming, first lay down in a water and try not to drown:",
"text": "To get started with swimming, first lay down in a water and try not to drown:" "text": "To get started with swimming, first lay down in a water and try not to drown:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/6", "self_ref": "#/texts/6",
@ -207,6 +231,12 @@
"prov": [], "prov": [],
"orig": "You can relax and look around", "orig": "You can relax and look around",
"text": "You can relax and look around", "text": "You can relax and look around",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -221,6 +251,12 @@
"prov": [], "prov": [],
"orig": "Paddle about", "orig": "Paddle about",
"text": "Paddle about", "text": "Paddle about",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -235,6 +271,12 @@
"prov": [], "prov": [],
"orig": "Enjoy summer warmth", "orig": "Enjoy summer warmth",
"text": "Enjoy summer warmth", "text": "Enjoy summer warmth",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -247,8 +289,14 @@
"content_layer": "body", "content_layer": "body",
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Also, don\u2019t forget:", "orig": "Also, don’t forget:",
"text": "Also, don\u2019t forget:" "text": "Also, don’t forget:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/10", "self_ref": "#/texts/10",
@ -261,6 +309,12 @@
"prov": [], "prov": [],
"orig": "Wear sunglasses", "orig": "Wear sunglasses",
"text": "Wear sunglasses", "text": "Wear sunglasses",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -273,8 +327,14 @@
"content_layer": "body", "content_layer": "body",
"label": "list_item", "label": "list_item",
"prov": [], "prov": [],
"orig": "Don\u2019t forget to drink water", "orig": "Don’t forget to drink water",
"text": "Don\u2019t forget to drink water", "text": "Don’t forget to drink water",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -289,6 +349,12 @@
"prov": [], "prov": [],
"orig": "Use sun cream", "orig": "Use sun cream",
"text": "Use sun cream", "text": "Use sun cream",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -301,8 +367,14 @@
"content_layer": "body", "content_layer": "body",
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Hmm, what else\u2026", "orig": "Hmm, what else…",
"text": "Hmm, what else\u2026" "text": "Hmm, what else…",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/14", "self_ref": "#/texts/14",
@ -335,8 +407,8 @@
"content_layer": "body", "content_layer": "body",
"label": "section_header", "label": "section_header",
"prov": [], "prov": [],
"orig": "Let\u2019s eat", "orig": "Let’s eat",
"text": "Let\u2019s eat", "text": "Let’s eat",
"level": 2 "level": 2
}, },
{ {
@ -348,8 +420,14 @@
"content_layer": "body", "content_layer": "body",
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "After we had a good day of swimming in the lake, it\u2019s important to eat something nice", "orig": "After we had a good day of swimming in the lake, it’s important to eat something nice",
"text": "After we had a good day of swimming in the lake, it\u2019s important to eat something nice" "text": "After we had a good day of swimming in the lake, it’s important to eat something nice",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/16", "self_ref": "#/texts/16",
@ -361,7 +439,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "I like to eat leaves", "orig": "I like to eat leaves",
"text": "I like to eat leaves" "text": "I like to eat leaves",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/17", "self_ref": "#/texts/17",
@ -373,7 +457,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "Here are some interesting things a respectful duck could eat:", "orig": "Here are some interesting things a respectful duck could eat:",
"text": "Here are some interesting things a respectful duck could eat:" "text": "Here are some interesting things a respectful duck could eat:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/18", "self_ref": "#/texts/18",
@ -396,8 +486,14 @@
"content_layer": "body", "content_layer": "body",
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "And let\u2019s add another list in the end:", "orig": "And let’s add another list in the end:",
"text": "And let\u2019s add another list in the end:" "text": "And let’s add another list in the end:",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/20", "self_ref": "#/texts/20",
@ -410,6 +506,12 @@
"prov": [], "prov": [],
"orig": "Leaves", "orig": "Leaves",
"text": "Leaves", "text": "Leaves",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -424,6 +526,12 @@
"prov": [], "prov": [],
"orig": "Berries", "orig": "Berries",
"text": "Berries", "text": "Berries",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
}, },
@ -438,6 +546,12 @@
"prov": [], "prov": [],
"orig": "Grain", "orig": "Grain",
"text": "Grain", "text": "Grain",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
},
"enumerated": false, "enumerated": false,
"marker": "-" "marker": "-"
} }

40
tests/data/groundtruth/docling_v2/word_tables.docx.json
View File

@ -114,7 +114,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "A uniform table", "orig": "A uniform table",
"text": "A uniform table" "text": "A uniform table",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/2", "self_ref": "#/texts/2",
@ -138,7 +144,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "A non-uniform table with horizontal spans", "orig": "A non-uniform table with horizontal spans",
"text": "A non-uniform table with horizontal spans" "text": "A non-uniform table with horizontal spans",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/4", "self_ref": "#/texts/4",
@ -162,7 +174,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "A non-uniform table with horizontal spans in inner columns", "orig": "A non-uniform table with horizontal spans in inner columns",
"text": "A non-uniform table with horizontal spans in inner columns" "text": "A non-uniform table with horizontal spans in inner columns",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/6", "self_ref": "#/texts/6",
@ -186,7 +204,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "A non-uniform table with vertical spans", "orig": "A non-uniform table with vertical spans",
"text": "A non-uniform table with vertical spans" "text": "A non-uniform table with vertical spans",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/8", "self_ref": "#/texts/8",
@ -210,7 +234,13 @@
"label": "paragraph", "label": "paragraph",
"prov": [], "prov": [],
"orig": "A non-uniform table with all kinds of spans and empty cells", "orig": "A non-uniform table with all kinds of spans and empty cells",
"text": "A non-uniform table with all kinds of spans and empty cells" "text": "A non-uniform table with all kinds of spans and empty cells",
"formatting": {
"bold": false,
"italic": false,
"underline": false,
"strikethrough": false
}
}, },
{ {
"self_ref": "#/texts/10", "self_ref": "#/texts/10",

2
tests/data/webp/groundtruth/docling_v2/webp-test.doctags.txt
View File

@ -1,2 +1,2 @@
<doctag><text><loc_58><loc_44><loc_426><loc_91>Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package</text> <doctag><text><loc_60><loc_46><loc_424><loc_91>Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package</text>
</doctag> </doctag>

78
tests/data/webp/groundtruth/docling_v2/webp-test.json
View File

@ -1 +1,77 @@
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2
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6
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3
tests/data_scanned/groundtruth/docling_v2/ocr_test_rotated_180.doctags.txt Normal file
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<doctag><text><loc_371><loc_410><loc_438><loc_422>package</text>
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109
tests/data_scanned/groundtruth/docling_v2/ocr_test_rotated_180.json Normal file
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