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Pyyan / Compare / PaddleOCR vs dots.ocr vs DeepSeek-OCR

PaddleOCR vs dots.ocr vs DeepSeek-OCR

3 of 5

OCR & Document AI · verified 13 Aug 2026

×PaddleOCRBaiducurrent
×dots.ocrXiaohongshucurrent
×DeepSeek-OCRDeepSeekcurrent
2 slots left
SpecificationPaddleOCRdots.ocrDeepSeek-OCR
SummaryThe classical workhorse, still widely deployed.Small, multilingual, layout-aware.Compresses pages into far fewer vision tokens.
OmniDocBench~82~93~92
Open weightsYesYesYes
HandlesText, tables, receiptsLayout, 100+ languagesDense text, tables
LicenceApache 2.0MITMIT
KindClassical engineVision language modelVision language model
CategoryOCR & Document AIOCR & Document AIOCR & Document AI
OfficialBaidu ↗Xiaohongshu ↗DeepSeek ↗

Highlighted rows are where these differ.

PaddleOCR

  • Runs on CPU and mobile
  • Predates the VLM approach and still ships in production

Best for on-device and offline recognition.

Full spec sheet →

dots.ocr

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

Best for multilingual layout parsing.

Full spec sheet →

DeepSeek-OCR

  • Treats the page image as compressed context
  • Notable for cost per page rather than raw accuracy

Best for long documents on a budget.

Full spec sheet →