GitHub热门: markitdown

? GitHub项目：markitdown ? 仓库地址：https://github.com/microsoft/markitdown ⭐ Stars：121754 | ? 作者：microsoft ? 项目描述：Python tool for converting files and office documents to Markdown. ================================================== ? README 内容： ================================================== # MarkItDown [](https://pypi.org/project/markitdown/)  [](https://github.com/microsoft/autogen) > [!IMPORTANT] > MarkItDown performs I/O with the privileges of the current process. Like open() or requests.get(), it will access resources that the process itself can access. Sanitize your inputs in untrusted environments, and call the narrowest `convert_*` function needed for your use case (e.g., `convert_stream()`, or `convert_local()`). See the [Security Considerations](#security-considerations) section of the documentation for more information. MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines. To this end, it is most comparable to [textract](https://github.com/deanmalmgren/textract), but with a focus on preserving important document structure and content as Markdown (including: headings, lists, tables, links, etc.) While the output is often reasonably presentable and human-friendly, it is meant to be consumed by text analysis tools -- and may not be the best option for high-fidelity document conversions for human consumption. MarkItDown currently supports the conversion from: - PDF - PowerPoint - Word - Excel - Images (EXIF metadata and OCR) - Audio (EXIF metadata and speech transcription) - HTML - Text-based formats (CSV, JSON, XML) - ZIP files (iterates over contents) - Youtube URLs - EPubs - ... and more! ## Why Markdown? Markdown is extremely close to plain text, with minimal markup or formatting, but still provides a way to represent important document structure. Mainstream LLMs, such as OpenAI's GPT-4o, natively "_speak_" Markdown, and often incorporate Markdown into their responses unprompted. This suggests that they have been trained on vast amounts of Markdown-formatted text, and understand it well. As a side benefit, Markdown conventions are also highly token-efficient. ## Prerequisites MarkItDown requires Python 3.10 or higher. It is recommended to use a virtual environment to avoid dependency conflicts. With the standard Python installation, you can create and activate a virtual environment using the following commands: ```bash python -m venv .venv source .venv/bin/activate ``` If using `uv`, you can create a virtual environment with: ```bash uv venv --python=3.12 .venv source .venv/bin/activate # NOTE: Be sure to use 'uv pip install' rather than just 'pip install' to install packages in this virtual environment ``` If you are using Anaconda, you can c