Docling — RAG Frameworks Platform
RAG FrameworksLayer 2Open SourceWhat is Docling?
Docling is an open-source document processing toolkit developed by IBM Research Zurich's AI for knowledge team. Released in July 2024, Docling simplifies document processing by parsing diverse formats—including advanced PDF understanding—and providing seamless integrations with the generative AI ecosystem. The library can parse PDF, DOCX, PPTX, XLSX, HTML, WAV, MP3, WebVTT, and image formats, with advanced capabilities including page layout analysis, reading order detection, table structure recognition, code extraction, and formula parsing. In early 2026, IBM released Granite-Docling-258M, a production-grade vision-language model under Apache 2.0 license. Since its first public release in August 2024, the library has logged over 100 releases and crossed 37,000 GitHub stars, becoming a leading solution for preparing documents for generative AI applications. Docling is hosted as a project in the LF AI & Data Foundation.
Key Features
- ✓Document parsing with layout understanding
- ✓Table extraction from PDFs
- ✓OCR for scanned documents
- ✓Multiple output formats
- ✓Open-source and self-hosted
Pros & Cons
Pros
- +Completely free and open-source with MIT License for unrestricted commercial use
- +Supports wide range of document formats (PDF, DOCX, PPTX, XLSX, HTML, audio, images)
- +Advanced PDF understanding with layout analysis, table structure, and formula recognition
- +Production-grade Granite-Docling-258M vision-language model included
- +Strong community support with 37,000+ GitHub stars and 100+ releases
Cons
- -Requires technical expertise to implement and customize
- -Self-hosted solution requires infrastructure management
- -Limited enterprise support compared to commercial alternatives
- -Documentation may require technical background to understand
Docling Pricing
Common Use Cases
Developers and researchers who need accurate document parsing with layout and table understanding
- •PDF to structured data conversion
- •Academic paper processing
- •Financial report extraction
- •Scanned document digitization
- •Document understanding pipelines
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