Audience

AI engineers, data teams, and developers building RAG or document-intelligence systems who need an open-source toolkit to convert complex documents into structured, searchable, AI-ready data

About Docling

Docling is an easy-to-use, self-contained, MIT-licensed open source toolkit for converting messy documents into structured data and simplifying downstream document and AI processing. It can parse many popular document formats into a unified and richly structured Docling Document, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and scanned pages through an OCR engine of the user’s choice. Docling detects tables, formulas, reading order, chunks, bounding boxes, page headers and footers, pictures, captions, code, list items, paragraphs, cells, and document structure, making extracted content easier to process, search, and ingest into AI, RAG, and agentic systems. It can export parsed documents to JSON, text, Markdown, HTML, and Doctags, giving developers flexible outputs for pipelines and applications. Docling stores and traverses components according to reading order, partitions documents into bite-sized contiguous text chunks.

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Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

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Company Information

Docling
United States
www.docling.ai/

Videos and Screen Captures

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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

Docling Frequently Asked Questions

Q: What kinds of users and organization types does Docling work with?
Q: What languages does Docling support in their product?
Q: What kind of support options does Docling offer?
Q: What other applications or services does Docling integrate with?
Q: What type of training does Docling provide?
Q: How much does Docling cost?

Docling Product Features

OCR

Convert to PDF
Zone Selection Tool
ID Scanning
Multi-Language
Indexing
Metadata Extraction
Image Pre-processing
Text Editor
Multiple Output Formats
Batch Processing