AutoGPT is an open-source platform for building, running, and scheduling AI agents that carry out multi-step workflows from plain-English descriptions or a visual builder.
187,7 mil45,9 milPythonOtherAtualizado há 32 minutos
NanoNets/docstrange
Python library and web UI that converts PDFs, DOCX, PPTX, XLSX, images and URLs into Markdown, JSON, CSV or HTML, with OCR and structured field extraction.
Alternativa open source a:Adobe Acrobat
ABBYY FineReader
Docparser
- Estrelas
- 1,579
- Forks
- 0
- Issues abertas
- 0
- Último commit
- há 12 meses
Recursos principais
- 01Converts PDF, DOCX, PPTX, XLSX, images and URLs to Markdown, JSON, CSV or HTML.
- 02Runs OCR on scanned documents and phone photos.
- 03Extracts specified fields or fills a custom JSON schema.
- 04Formats tables as Markdown and exports them to CSV.
- 05Offers cloud processing or fully local CPU/GPU processing.
- 06Includes a local drag-and-drop web interface and CLI.
Casos de uso
- Preparing PDFs and Office files as clean Markdown for RAG pipelines.
- Extracting invoice or receipt fields into JSON for accounting workflows.
- Converting scanned contracts or forms into structured data where data must stay on-premises.
- Pulling tables from financial reports into CSV for analysis.
Tópicos
Perguntas frequentes
- O que é docstrange?
- Python library and web UI that converts PDFs, DOCX, PPTX, XLSX, images and URLs into Markdown, JSON, CSV or HTML, with OCR and structured field extraction.
- docstrange é gratuito? Qual é a licença?
- docstrange é open source sob a licença MIT. Confira os termos da licença antes de usá-lo em produtos comerciais.
- docstrange ainda é mantido?
- Sem commits há mais de 6 meses. O último commit de docstrange foi em 31 de out. de 2025.
- Para que posso usar docstrange?
- Preparing PDFs and Office files as clean Markdown for RAG pipelines. Extracting invoice or receipt fields into JSON for accounting workflows. Converting scanned contracts or forms into structured data where data must stay on-premises. Pulling tables from financial reports into CSV for analysis.
- Onde consigo docstrange?
- O código-fonte e as instruções de instalação estão no GitHub: https://github.com/NanoNets/docstrange
Resumo gerado por IA a partir do README do projeto. As estatísticas do GitHub são atualizadas diariamente.
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