LangExtract (Google) vs olmOCR

LangExtract (Google) is free, with no paid plan attached. olmOCR 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.

LangExtract (Google) vs olmOCR — straight answers

LangExtract (Google) vs olmOCR: what is the difference?

LangExtract (Google) is free, with no paid plan attached and is listed for python library extracting structured data from unstructured text with LLMs. olmOCR is free, with no paid plan attached and is listed for apache 2.0 open-source OCR toolkit from Ai2, 19.3k GitHub stars. Both sit in AI OCR & Document Extraction.

Is LangExtract (Google) or olmOCR cheaper to start with?

Neither — LangExtract (Google) and olmOCR 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, LangExtract (Google) or olmOCR?

Choose LangExtract (Google) if you need python library extracting structured data from unstructured text with LLMs; choose olmOCR if you need apache 2.0 open-source OCR toolkit from Ai2, 19.3k GitHub stars. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

LangExtract (Google) compared with olmOCR: pricing tier, category, listed capabilities and links.
 LangExtract (Google)olmOCR
Pricing tierFreeFree
Free to startYesYes
CategoryResearch & LearningResearch & Learning
TypeAI OCR & Document ExtractionAI OCR & Document Extraction
Listed capabilities
  • 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
  • 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
Tagslangextract, google langextract, extract structured data from text llm, source grounded extraction, gemini extraction libraryolmocr, open source ocr, pdf to text, allen institute, free ocr model
Websitegithub.comgithub.com
Full pageLangExtract (Google) details →olmOCR details →
AlternativesLangExtract (Google) alternatives →olmOCR alternatives →

dots.ocr (dots.mocr)

AI OCR & Document Extraction
free
  • 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

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

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

Docling

AI OCR & Document Extraction
free
  • 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

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