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.
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.
Open source альтернатива:Adobe Acrobat
ABBYY FineReader
Docparser
- Звёзды
- 1,579
- Форки
- 0
- Открытые issues
- 0
- Последний коммит
- 12 месяцев назад
Ключевые возможности
- 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.
Сценарии использования
- 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.
Темы
Частые вопросы
- Что такое 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 можно использовать бесплатно? Какая у него лицензия?
- docstrange распространяется с открытым исходным кодом под лицензией MIT. Перед использованием в коммерческих продуктах проверьте условия лицензии.
- docstrange всё ещё поддерживается?
- Нет коммитов больше 6 месяцев. Последний коммит в docstrange — 31 окт. 2025 г..
- Для чего можно использовать 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.
- Где скачать docstrange?
- Исходный код и инструкции по установке — на GitHub: https://github.com/NanoNets/docstrange
Описание создано ИИ на основе README проекта. Статистика GitHub обновляется ежедневно.
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