Docling — RAG Frameworks Platform
RAG FrameworksLayer 2Free open-source (Apache 2.0)What is Docling?
Docling is IBM Research's open-source document conversion toolkit, designed for AI-driven workflows that need clean, structured data from messy documents. It converts PDFs, DOCX, PPTX, HTML, images, and more into JSON or markdown while preserving layout, tables, equations, code blocks, and lists.
In 2026, IBM released Granite-Docling-258M — an ultra-compact open-source vision-language model purpose-built for document conversion under Apache 2.0. Granite-Docling delivers significantly better recognition accuracy than traditional OCR by retaining the original layout structure and identifying complex elements like tables, math, and code blocks. The output uses DocTags, a universal markup format developed by IBM Research that captures every page element and its contextual relationships.
Strategically, IBM has positioned Docling for production use: launched the Docling OpenShift Operator with Red Hat (targeting banks), donated the project to the Linux Foundation's Agentic AI Foundation alongside BeeAI and Data Prep Kit, and is integrating it across Red Hat and IBM Cloud document workflows. Free, fully open-source, and self-hostable.
Key Features
- ✓Converts PDFs, DOCX, PPTX, HTML, images to structured JSON/markdown
- ✓Granite-Docling-258M VLM model purpose-built for document understanding
- ✓DocTags markup preserves layout, tables, equations, code blocks
- ✓Apache 2.0 — fully open-source and self-hostable
- ✓Production deployment via Docling OpenShift Operator (Red Hat)
Pros & Cons
Pros
- +Purpose-built VLM beats general-purpose OCR on complex layouts
- +Apache 2.0 license — fully open and self-hostable
- +IBM-grade engineering with Linux Foundation governance
- +DocTags standardized markup makes output portable across tools
- +Production deployment story via Red Hat / OpenShift
Cons
- -Setup complexity higher than hosted document APIs
- -Granite-Docling-258M still requires GPU for fast inference
- -Less polished UX than cloud DocAI services from Google/AWS
- -Smaller ecosystem than Unstructured.io for non-IBM stacks
Docling Pricing
Free trial available
- ✓Full toolkit + Granite-Docling-258M weights
- ✓Self-hostable on any infrastructure
- ✓DocTags universal markup output
- ✓All conversion features (PDF, DOCX, PPTX, etc.)
- ✓Production deployment via OpenShift
- ✓Targeted at banking and regulated industries
- ✓Red Hat enterprise support
Common Use Cases
RAG and AI engineering teams that need accurate, structured ingest of PDFs, DOCX, and complex documents into LLM pipelines
- •RAG ingest pipelines that need clean structured text
- •Financial and legal document parsing (banking)
- •Scientific paper ingestion preserving equations and tables
- •Enterprise knowledge base ingestion at scale
- •On-prem document conversion for regulated environments
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Last verified: April 29, 2026