Docling vs Reducto

Docling is free, with no paid plan attached. Reducto is freemium — a usable free tier with paid plans above it. 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 Reducto — straight answers

Docling vs Reducto: 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. Reducto is freemium — a usable free tier with paid plans above it and is listed for 15,000 free starter credits, no card required. Both sit in AI OCR & Document Extraction.

Is Docling or Reducto cheaper to start with?

Docling is the cheaper starting point: it is free, with no paid plan attached, while Reducto is freemium — a usable free tier with paid plans above it. Pricing tiers here come from the catalog, not from a promotional page.

Which should I choose, Docling or Reducto?

Choose Docling if you need MIT-licensed, 64.7k GitHub stars, IBM Research-originated, now under LF AI & Data Foundation; choose Reducto if you need 15,000 free starter credits, no card required. 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 Reducto: pricing tier, category, listed capabilities and links.
 DoclingReducto
Pricing tierFreeFree tier + paid plans
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
  • 15,000 free starter credits, no card required
  • Citation-ready structured JSON across 30+ file types
  • Edits extracted data back into original PDF/DOCX layout
Tagsdocling, ibm document ai, pdf parsing open source, document conversion, free ocrreducto, document extraction api, pdf parsing, structured json extraction, free credits
Websitegithub.comreducto.ai
Full pageDocling details →Reducto details →
AlternativesDocling alternatives →Reducto alternatives →

dots.ocr (dots.mocr)

AI OCR & Document Extraction
freeNew
  • 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

LangExtract (Google)

AI OCR & Document Extraction
freeNew
  • 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
freeNew
  • 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
freeNew
  • 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
freeNew
  • 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