Pyyan / Compare / dots.ocr vs DeepSeek-OCR

dots.ocr vs DeepSeek-OCR

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OCR & Document AI · verified 13 Aug 2026

dots.ocrXiaohongshucurrent
DeepSeek-OCRDeepSeekcurrent
3 slots left
Specificationdots.ocrDeepSeek-OCR
SummarySmall, multilingual, layout-aware.Compresses pages into far fewer vision tokens.
OmniDocBench~93~92
Open weightsYesYes
HandlesLayout, 100+ languagesDense text, tables
LicenceMITMIT
KindVision language modelVision language model
CategoryOCR & Document AIOCR & Document AI
OfficialXiaohongshuDeepSeek

Highlighted rows are where these differ.

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 →