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Data OpsDocling Project

Docling

Toolkit that turns documents into AI-ready Markdown and JSON.

Category
Data Ops
Pricing
FREE
Source
Open source
Platforms
CLIAPI
Models
Model-agnostic
Verified
Jun 8, 2026

A document-processing toolkit that converts PDF, DOCX, PPTX, XLSX, HTML, images, and audio into clean Markdown or JSON for LLM and RAG pipelines. It does advanced PDF understanding — page layout, reading order, table structure, and OCR for scans — and ships a hybrid chunker plus native LangChain and LlamaIndex integrations. Small enough to run on a laptop via a Python API or CLI; MIT-licensed and community-governed.

Capabilities 3

What it actually does — grouped by capability family.

  • Document parsing (structured) (primary capability)
  • OCR / scanned-document extraction (secondary capability)
  • Transcription (STT) (secondary capability)

Pros & cons

  • Runs on a laptop via Python API or CLI
  • OCR for scans, hybrid chunker built in
  • IBM Research origin, now LF AI project
  • Wide input format and export support
  • Lower accuracy than top hosted parsers
  • No managed cloud / SLA out of the box
  • Setup and tuning effort vs. an API
  • Heavier compute for OCR-heavy docs

Tags

Further reading

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Open Docling