# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for Full-stack / Indie or ML / AI or Data analysis, Tagged `ocr`: 9 items.

> - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration.
> - ML / AI: Model training, evaluation and LLM application development.
> - Data analysis: Querying, statistical analysis, reporting and visualization.

- [PaddleOCR MCP Server](https://hebbmind.com/de/mcp/paddlepaddle-mcp-server.md): [MCP] Official PaddleOCR MCP: text recognition and layout parsing for images and PDFs (PP-OCR, PP-StructureV3, PaddleOCR-VL), returning text or Markdown. Runs inference locally, or calls the official API or a self-hosted service.
- [PaddleOCR](https://hebbmind.com/de/cli/paddleocr.md): [CLI] Baidu PaddlePaddle's official OCR and document parsing tool: the paddleocr command reads text from images and parses PDFs and scans into Markdown or JSON, supporting 100+ languages with models that run locally.
- [MinerU](https://hebbmind.com/de/cli/mineru.md): [CLI] Document parser from OpenDataLab that turns PDFs, images and Office files into Markdown or JSON, handling tables, formulas and complex layouts well, with page-by-page reading and citation anchors for agents. Parses locally by default; needs Python 3.10+.
- [Tesseract OCR](https://hebbmind.com/de/cli/tesseract.md): [CLI] Classic open-source OCR engine and CLI that reads text from images and outputs plain text, hOCR, searchable PDF or TSV. Supports 100+ languages; install the language data for each language you need.
- [Docling](https://hebbmind.com/de/cli/docling.md): [CLI] Parses PDF, DOCX, PPTX, XLSX, HTML, images and audio, recovering layout, reading order, tables and formulas, and exports Markdown, HTML or lossless JSON. Started by IBM Research, now hosted by the LF AI & Data Foundation; runs fully locally.
- [Marker](https://hebbmind.com/de/cli/marker.md): [CLI] Converts PDFs, images, PPTX, DOCX, XLSX, EPUB and more into Markdown, JSON or HTML, preserving tables, formulas and layout, with optional LLM help for higher accuracy. Needs Python 3.10+ and PyTorch; large-scale commercial use of the model weights needs a paid license.
- [olmOCR](https://hebbmind.com/de/cli/olmocr.md): [CLI] AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint.
- [Docling MCP](https://hebbmind.com/de/mcp/docling-mcp.md): [MCP] The Docling project's official MCP: converts PDF, Word, PowerPoint and more into structured documents with layout and table detection and OCR for scans, and lets agents build new documents paragraph by paragraph and export Markdown. Local mode needs Python and uv, or use your own Docling Serve.
- [MinerU Open MCP](https://hebbmind.com/de/mcp/opendatalab-mcp.md): [MCP] MinerU's official MCP: parses PDF, Word, PowerPoint and images into Markdown via the mineru.net cloud API, keeping tables and formulas. The keyless Flash mode works out of the box; add a token for higher quotas and more formats.