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训练与评测
MA
MarkItDown
维护者 K-Dense Inc. · 最近更新 2026年4月1日
MarkItDown是一个Python tool developed by Microsoft ，用于 converting various file formats to Markdown。 It's particularly useful ，用于 converting documents into LLM-friendly text format，as Markdown is token-efficient 、 well-understood by modern language models。
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/markitdown
- 维护者
- K-Dense Inc.
- 许可
- MIT license
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Convert documents to clean，structured Markdown。
- Token-efficient format ，用于 LLM processing。
- 支持 15+ file formats。
- Optional AI-enhanced image descriptions。
- OCR ，用于 images 、 scanned documents。
原始文档
SKILL.md 摘录
Visual Enhancement with Scientific Schematics
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
How to generate schematics:
The AI will automatically:
- Create publication-quality images with proper formatting
- Review and refine through multiple iterations
- Ensure accessibility (colorblind-friendly, high contrast)
- Save outputs in the figures/ directory
When to add schematics:
- Document conversion workflow diagrams
- File format architecture illustrations
- OCR processing pipeline diagrams
- Integration workflow visualizations
- System architecture diagrams
- Data flow diagrams
- Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Supported Formats
| Format | Description | Notes |
|---|---|---|
| Portable Document Format | Full text extraction | |
| DOCX | Microsoft Word | Tables, formatting preserved |
| PPTX | PowerPoint | Slides with notes |
| XLSX | Excel spreadsheets | Tables and data |
| Images | JPEG, PNG, GIF, WebP | EXIF metadata + OCR |
| Audio | WAV, MP3 | Metadata + transcription |
| HTML | Web pages | Clean conversion |
| CSV | Comma-separated values | Table format |
| JSON | JSON data | Structured representation |
| XML | XML documents | Structured format |
| ZIP | Archive files | Iterates contents |
| EPUB | E-books | Full text extraction |
| YouTube | Video URLs | Fetch transcriptions |
Or from source
git clone https://github.com/microsoft/markitdown.git cd markitdown pip install -e 'packages/markitdown[all]'
适用场景
- Use MarkItDown in 科研工作流 aligned ，支持 this subject area。
- Follow upstream documentation ，用于 full working procedure。
- Use markitdown in 科研工作流 aligned ，支持 this subject area。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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