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Pyyan / Compare / Tesseract vs dots.ocr vs Qwen3-VL

Tesseract vs dots.ocr vs Qwen3-VL

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OCR & Document AI · verified 13 Aug 2026

×TesseractGooglecurrent
×dots.ocrXiaohongshucurrent
×Qwen3-VLAlibabacurrent
2 slots left
SpecificationTesseractdots.ocrQwen3-VL
SummaryThe 1985 engine that ran OCR for a generation.Small, multilingual, layout-aware.A general vision model that happens to lead OCR benchmarks.
OmniDocBench~55~93~93
Open weightsYesYesYes
HandlesClean printed textLayout, 100+ languagesDocuments, charts, video
LicenceApache 2.0MITApache 2.0
KindClassical engineVision language modelVision language model
CategoryOCR & Document AIOCR & Document AIOCR & Document AI
OfficialGoogle ↗Xiaohongshu ↗Alibaba ↗

Highlighted rows are where these differ.

Tesseract

  • Included here as the baseline everything is measured against
  • Struggles badly with layout, tables and anything skewed

Best for clean scans, and nothing else.

Full spec sheet →

dots.ocr

  • Layout and content in one pass
  • Strong for its size

Best for multilingual layout parsing.

Full spec sheet →

Qwen3-VL

  • Not an OCR model, and beats most of them
  • Sizes from 2B to 235B

Best for one model for vision and documents.

Full spec sheet →