From 318d42c369efb0c83ab7bb0fc75cdb625a739edd Mon Sep 17 00:00:00 2001
From: Swaymaw <87603098+Swaymaw@users.noreply.github.com>
Date: Wed, 20 Nov 2024 13:08:00 +0530
Subject: [PATCH] Update README.md
Signed-off-by: Swaymaw <87603098+Swaymaw@users.noreply.github.com>
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README.md | 100 +++---------------------------------------------------
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-
-
- 
-
-
+## Additional Features:
+- Integrated PaddleOCR - For improved OCR capabilities.
-# Docling
-
-
- 
-
-
-[](https://arxiv.org/abs/2408.09869)
-[](https://ds4sd.github.io/docling/)
-[](https://pypi.org/project/docling/)
-
-[](https://python-poetry.org/)
-[](https://github.com/psf/black)
-[](https://pycqa.github.io/isort/)
-[](https://pydantic.dev)
-[](https://github.com/pre-commit/pre-commit)
-[](https://opensource.org/licenses/MIT)
-
-Docling parses documents and exports them to the desired format with ease and speed.
-
-## Features
-
-* ποΈ Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
-* π Advanced PDF document understanding including page layout, reading order & table structures
-* 𧩠Unified, expressive [DoclingDocument](https://ds4sd.github.io/docling/concepts/docling_document/) representation format
-* π€ Easy integration with LlamaIndex π¦ & LangChain π¦π for powerful RAG / QA applications
-* π OCR support for scanned PDFs
-* π» 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
-
-* βΎοΈ Equation & code extraction
-* π Metadata extraction, including title, authors, references & language
-* π¦π 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}
-}
-```
+To know more about the original repository refer to the readme and documentation available at:
+[Docling Github Repo](https://github.com/DS4SD/docling)
## License