original readme for pull request

Signed-off-by: Swaymaw <swaymaw@gmail.com>

README.md

@@ -1,31 +1,101 @@
-## Additional Features: 
+<p align="center">
-- Integrated PaddleOCR - For improved OCR capabilities.
+  <a href="https://github.com/ds4sd/docling">
+    <img loading="lazy" alt="Docling" src="https://github.com/DS4SD/docling/raw/main/docs/assets/docling_processing.png" width="100%"/>
+  </a>
+</p>
 
-To know more about the original repository refer to the readme and documentation available at: </br>
+# Docling
-[Docling Github Repo](https://github.com/DS4SD/docling)
-[Docling Documentation](https://ds4sd.github.io/docling/)
 
-## PaddleOCR Usage - Demo:
+<p align="center">
-```python
+  <a href="https://trendshift.io/repositories/12132" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12132" alt="DS4SD%2Fdocling | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-from docling.datamodel.base_models import InputFormat
+</p>
-from docling.document_converter import DocumentConverter, ImageFormatOption, PdfFormatOption
-from docling.datamodel.pipeline_options import PdfPipelineOptions, TableFormerMode, TableStructureOptions
 
-pipeline_options = PdfPipelineOptions(do_table_structure=True, generate_page_images=True, images_scale=2.0)
+[![arXiv](https://img.shields.io/badge/arXiv-2408.09869-b31b1b.svg)](https://arxiv.org/abs/2408.09869)
-pipeline_options.table_structure_options.mode = TableFormerMode.ACCURATE  # use more accurate TableFormer model
+[![Docs](https://img.shields.io/badge/docs-live-brightgreen)](https://ds4sd.github.io/docling/)
-pipeline_options.table_structure_options = TableStructureOptions(do_cell_matching=True)
+[![PyPI version](https://img.shields.io/pypi/v/docling)](https://pypi.org/project/docling/)
-pipeline_options.ocr_options = PaddleOcrOptions(lang="en")
+![Python](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue)
+[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
+[![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)
+[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+[![License MIT](https://img.shields.io/github/license/DS4SD/docling)](https://opensource.org/licenses/MIT)
 
-doc_converter = DocumentConverter(
+Docling parses documents and exports them to the desired format with ease and speed.
-    format_options={
-        InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options),
-        InputFormat.IMAGE: ImageFormatOption(pipeline_options=pipeline_options)
-    }
-)
-result = doc_converter.convert("sample_file.pdf")
-print(result.document.export_to_markdown())
 
+## Features
+
+* 🗂️ Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
+* 📑 Advanced PDF document understanding including page layout, reading order & table structures
+* 🧩 Unified, expressive [DoclingDocument](https://ds4sd.github.io/docling/concepts/docling_document/) representation format
+* 🤖 Easy integration with LlamaIndex 🦙 & LangChain 🦜🔗 for powerful RAG / QA applications
+* 🔍 OCR support for scanned PDFs
+* 💻 Simple and convenient CLI
+
+Explore the [documentation](https://ds4sd.github.io/docling/) to discover plenty examples and unlock the full power of Docling!
+
+### Coming soon
+
+* ♾️ Equation & code extraction
+* 📝 Metadata extraction, including title, authors, references & language
+* 🦜🔗 Native LangChain extension
+
+## Installation
+
+To use Docling, simply install `docling` from your package manager, e.g. pip:
+```bash
+pip install docling
 ```
+
+Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.
+
+More [detailed installation instructions](https://ds4sd.github.io/docling/installation/) are available in the docs.
+
+## Getting started
+
+To convert individual documents, use `convert()`, for example:
+
+```python
+from docling.document_converter import DocumentConverter
+
+source = "https://arxiv.org/pdf/2408.09869"  # document per local path or URL
+converter = DocumentConverter()
+result = converter.convert(source)
+print(result.document.export_to_markdown())  # output: "## Docling Technical Report[...]"
+```
+
+Check out [Getting started](https://ds4sd.github.io/docling/).
+You will find lots of tuning options to leverage all the advanced capabilities.
+
+## Get help and support
+
+Please feel free to connect with us using the [discussion section](https://github.com/DS4SD/docling/discussions).
+
+## Technical report
+
+For more details on Docling's inner workings, check out the [Docling Technical Report](https://arxiv.org/abs/2408.09869).
+
+## Contributing
+
+Please read [Contributing to Docling](https://github.com/DS4SD/docling/blob/main/CONTRIBUTING.md) for details.
+
+## References
+
+If you use Docling in your projects, please consider citing the following:
+
+```bib
+@techreport{Docling,
+  author = {Deep Search Team},
+  month = {8},
+  title = {Docling Technical Report},
+  url = {https://arxiv.org/abs/2408.09869},
+  eprint = {2408.09869},
+  doi = {10.48550/arXiv.2408.09869},
+  version = {1.0.0},
+  year = {2024}
+}
+```
+
 ## License
 
 The Docling codebase is under MIT license.
@@ -33,4 +103,4 @@ For individual model usage, please refer to the model licenses found in the orig
 
 ## IBM ❤️ Open Source AI
 
-Docling has been brought to you by IBM.
+Docling has been brought to you by IBM.