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About

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.

About

Markdown allows you to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML). Thus, “Markdown” is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML. See the Syntax page for details pertaining to Markdown’s formatting syntax. You can try it out, right now, using the online Dingus. The overriding design goal for Markdown’s formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions. While Markdown’s syntax has been influenced by several existing text-to-HTML filters, the single biggest source of inspiration for Markdown’s syntax is the format of plain text email.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Text-to-HTML conversion tool for web writers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Docling
United States
www.docling.ai/

Company Information

Markdown
daringfireball.net/projects/markdown/

Alternatives

PaddleOCR

PaddleOCR

PaddlePaddle

Alternatives

Focused

Focused

Codebots
LlamaParse

LlamaParse

LlamaIndex
Mistral OCR 3

Mistral OCR 3

Mistral AI
MassiveMark

MassiveMark

BibCit

Categories

Categories

Integrations

Agent Client Protocol (ACP)
Autocaret
BlockNote
Contentlayer
Docsio
IntelliJ IDEA
JSON Formatter
JetBrains DataSpell
Konfig
Mythic Text
Presenti
Python
SIA
Skrape.ai
Snipit
Tango
Trupeer
Typora
Visual Studio Code
hosted.md

Integrations

Agent Client Protocol (ACP)
Autocaret
BlockNote
Contentlayer
Docsio
IntelliJ IDEA
JSON Formatter
JetBrains DataSpell
Konfig
Mythic Text
Presenti
Python
SIA
Skrape.ai
Snipit
Tango
Trupeer
Typora
Visual Studio Code
hosted.md
Claim Docling and update features and information
Claim Docling and update features and information
Claim Markdown and update features and information
Claim Markdown and update features and information