NanoNets/docstrange

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1531 stars · 136 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DocStrange is a Python library and tool that converts documents (PDF, DOCX, PPTX, XLSX, images, URLs) into Markdown, JSON, CSV, or HTML using advanced OCR and a 7B vision-language model. It supports both a free cloud API and fully local processing, includes a built-in web UI, and offers an MCP server for Claude Desktop integration.

Use cases

• convert pdf to markdown for llm ingestion
• extract tables from scanned pdfs into
• ocr images and turn text into structured data
• parse word and powerpoint documents into markdown
• extract specific fields from documents given a schema
• prepare rag-ready clean text from messy documents
• batch convert documents offline without sending data to the cloud

When to choose

• you need high-accuracy document-to-markdown conversion with table extraction
• you want a choice between free cloud processing and 100% private local mode
• you need structured extraction against a JSON schema from mixed document types
• you want an alternative to docling, marker, or markitdown with OCR built in

When to avoid

• you only need simple text extraction from plain-text or well-structured HTML files
• you cannot run a 7B model locally and cannot use cloud processing for privacy reasons
• you need a lightweight pure-Python parser with no ML model dependencies

Facets

library · maturity active

ocr pdf parser nlp machine-learning llm-inference rag data-science pdf files artificial-intelligence developer-tools python windows cli document-conversion document-parsing pdf-to-markdown structured-data-extraction table-extraction document-ai mcp-server web-ui cloud-api local-processing natural-language-processing data-engineering linux macos web-server gpu

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markdown · JSON · MCP: product_card(name="NanoNets/docstrange")