Open-source Python web crawler that turns any website into clean, LLM-ready Markdown, with CSS/LLM-based structured extraction and an optional hosted API.
85,8 mil8,9 milPythonApache-2.0Atualizado há 6 horas
magicrew/doc7
Converts PDFs, Office files, scans, screenshots and diagrams into Markdown by sending pages to your own OpenAI-compatible vision model.
Alternativa open source a:Mathpix
ABBYY FineReader
Adobe Acrobat
- Estrelas
- 721
- Forks
- 0
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- Último commit
- há 2 meses
Recursos principais
- 01Reads each page as an image through an OpenAI-compatible multimodal model, covering text, tables, formulas and charts.
- 02Supports PDF, Office, OpenDocument, EPUB, email, Jupyter notebooks, common image formats and web pages.
- 03Retries only failed pages with --resume and supports page-range selection.
- 04Provides a CLI, an async HTTP service, an MCP server and a Go SDK from one binary.
- 05Outputs merged Markdown, per-page files, page images and a manifest with provenance.
Casos de uso
- Building a RAG or knowledge-base corpus from scanned reports and PDFs.
- Making visual content such as charts and slide decks searchable by AI agents.
- Converting sensitive documents with a private model that never leaves your infrastructure.
- Batch-converting large document directories in CI or on a server.
Tópicos
Perguntas frequentes
- O que é doc7?
- Converts PDFs, Office files, scans, screenshots and diagrams into Markdown by sending pages to your own OpenAI-compatible vision model.
- doc7 é gratuito? Qual é a licença?
- doc7 é open source sob a licença MIT. Confira os termos da licença antes de usá-lo em produtos comerciais.
- doc7 ainda é mantido?
- Atualizado nos últimos 6 meses. O último commit de doc7 foi em 7 de ago. de 2026.
- Para que posso usar doc7?
- Building a RAG or knowledge-base corpus from scanned reports and PDFs. Making visual content such as charts and slide decks searchable by AI agents. Converting sensitive documents with a private model that never leaves your infrastructure. Batch-converting large document directories in CI or on a server.
- Onde consigo doc7?
- O código-fonte e as instruções de instalação estão no GitHub: https://github.com/magicrew/doc7
Resumo gerado por IA a partir do README do projeto. As estatísticas do GitHub são atualizadas diariamente.
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