Docling vs dots.ocr (dots.mocr)

Docling is free, with no paid plan attached. dots.ocr (dots.mocr) is free, with no paid plan attached. Both are listed under AI OCR & Document Extraction, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

Docling vs dots.ocr (dots.mocr) — straight answers

Docling vs dots.ocr (dots.mocr): what is the difference?

Docling is free, with no paid plan attached and is listed for MIT-licensed, 64.7k GitHub stars, IBM Research-originated, now under LF AI & Data Foundation. dots.ocr (dots.mocr) is free, with no paid plan attached and is listed for 3B vision-language model for layout parsing across many scripts. Both sit in AI OCR & Document Extraction.

Is Docling or dots.ocr (dots.mocr) cheaper to start with?

Neither — Docling and dots.ocr (dots.mocr) are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, Docling or dots.ocr (dots.mocr)?

Choose Docling if you need MIT-licensed, 64.7k GitHub stars, IBM Research-originated, now under LF AI & Data Foundation; choose dots.ocr (dots.mocr) if you need 3B vision-language model for layout parsing across many scripts. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

Docling compared with dots.ocr (dots.mocr): pricing tier, category, listed capabilities and links.
 Doclingdots.ocr (dots.mocr)
Pricing tierFreeFree
Free to startYesYes
CategoryResearch & LearningResearch & Learning
TypeAI OCR & Document ExtractionAI OCR & Document Extraction
Listed capabilities
  • MIT-licensed, 64.7k GitHub stars, IBM Research-originated, now under LF AI & Data Foundation
  • Advanced PDF layout + table structure recognition, local execution
  • Exports to Markdown/HTML/JSON, integrates with LangChain/LlamaIndex
  • 3B vision-language model for layout parsing across many scripts
  • Converts charts and diagrams into SVG code
  • Scores 83.9 on olmOCR-bench
  • MIT licensed with free live demo
Tagsdocling, ibm document ai, pdf parsing open source, document conversion, free ocrdots.ocr, dots ocr, multilingual ocr model, open source document layout parsing, rednote ocr, xiaohongshu ocr
Websitegithub.comgithub.com
Full pageDocling details →dots.ocr (dots.mocr) details →
AlternativesDocling alternatives →dots.ocr (dots.mocr) alternatives →

LangExtract (Google)

AI OCR & Document Extraction
free
  • Python library extracting structured data from unstructured text with LLMs
  • Maps each extraction to its exact source span
  • Works with Gemini, OpenAI and local Ollama models
  • Interactive HTML visualization of results

MinerU

AI OCR & Document Extraction
free
  • Parses PDFs, images and Office files into Markdown, JSON, HTML or LaTeX
  • Runs fully locally with OCR, table and formula recognition
  • Free hosted web app at mineru.net plus agent-ready outputs
  • Version 4.0 adds four parsing quality tiers

olmOCR

AI OCR & Document Extraction
free
  • Apache 2.0 open-source OCR toolkit from Ai2, 19.3k GitHub stars
  • Vision-language-model based, handles equations/tables/multi-column layout
  • Runs at a fraction of commercial OCR cost on a 7B model

PaddleOCR-VL

AI OCR & Document Extraction
free
  • 1B-parameter document parsing VLM (NaViT encoder + ERNIE-4.5-0.3B)
  • Handles text, tables, formulas, charts and handwriting
  • Supports 109 languages including Hindi and Arabic
  • Apache 2.0; newer PaddleOCR-VL-1.6 available

DeepSeek-OCR

AI OCR & Document Extraction
free
  • Vision-language OCR that compresses document context optically
  • Document-to-Markdown, layout detection and figure parsing
  • Multiple resolution modes up to 1280x1280
  • MIT license; DeepSeek-OCR2 released Jan 2026

Dolphin (ByteDance)

AI OCR & Document Extraction
free
  • Two-stage document-type and layout analysis then element parsing
  • Page-level and element-level parsing modes
  • Hugging Face Transformers integration
  • MIT licensed; Dolphin-v2 released Dec 2025