From 8a61f25eeff973df1f8cbd337a0b60c4464a5038 Mon Sep 17 00:00:00 2001
From: Matheus Moura <80767577+matheushmoura@users.noreply.github.com>
Date: Fri, 27 Dec 2024 20:17:50 -0300
Subject: [PATCH] Update README.md
Changes for Docowling Fork
Signed-off-by: Matheus Moura <80767577+matheushmoura@users.noreply.github.com>
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+# Docowling
-# Docling
-
-
-
-
-
-[](https://arxiv.org/abs/2408.09869)
-[](https://ds4sd.github.io/docling/)
-[](https://pypi.org/project/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)
-[](https://pepy.tech/projects/docling)
-
-Docling parses documents and exports them to the desired format with ease and speed.
-
-## Features
-
-* ποΈ Reads popular document formats (PDF, DOCX, PPTX, XLSX, Images, HTML, AsciiDoc & Markdown) and exports to HTML, Markdown and JSON (with embedded and referenced images)
-* π Advanced PDF document understanding including page layout, reading order & table structures
-* π§© Unified, expressive [DoclingDocument](https://ds4sd.github.io/docling/concepts/docling_document/) representation format
-* π€ Easy integration with π¦ LlamaIndex & π¦π LangChain 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[...]"
-```
-
-More [advanced usage options](https://ds4sd.github.io/docling/usage/) are available in
-the docs.
-
-## Documentation
-
-Check out Docling's [documentation](https://ds4sd.github.io/docling/), for details on
-installation, usage, concepts, recipes, extensions, and more.
-
-## Examples
-
-Go hands-on with our [examples](https://ds4sd.github.io/docling/examples/),
-demonstrating how to address different application use cases with Docling.
-
-## Integrations
-
-To further accelerate your AI application development, check out Docling's native
-[integrations](https://ds4sd.github.io/docling/integrations/) with popular frameworks
-and tools.
-
-## 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.
-For individual model usage, please refer to the model licenses found in the original packages.
-
-## IBM β€οΈ Open Source AI
-
-Docling has been brought to you by IBM.
+**Docowling** Γ© um fork do projeto [Docling](https://github.com/DS4SD/docling), desenvolvido para aprimorar funcionalidades e adicionar novas capacidades de processamento de documentos.