Docling
IBM's efficient open-source document conversion tool, built for LLMs and RAG
Open-source document conversion toolkit from IBM Research that turns PDFs, DOCX, PPTX, and HTML into a structured document model with layout and table recognition, exporting Markdown or JSON for LLM and RAG ingestion.
Key Features
- PDF and multi-format parsing
- Smart layout and table recognition
- Export to Markdown or JSON
- Support for a structured document model
- Improves LLM and RAG data quality
Pros
- Open-source, free, and developed by IBM
- Strong table and layout recognition
- Perfectly connects to large language model workflows
Cons
- Requires basic programming ability
- Processing very large files consumes more compute resources
Use Cases
- Building enterprise AI knowledge bases
- Processing academic papers and complex reports
- Converting historical documents into structured data
Editor's Note
If you're struggling with poor PDF parsing on a RAG project, Docling is absolutely one of the most powerful open-source solutions available right now.
FAQ
Which file formats does Docling support?
It can convert common file formats such as PDF, DOCX, PPTX, and HTML into a structured model.
Why do RAG systems need Docling?
Because it accurately preserves document layout and table structure, and the Markdown or JSON it produces lets LLMs understand higher-quality data.
Is Docling free?
Yes. Docling is an open-source project from IBM Research that users can freely download and use.