Pyyan / Compare / dots.ocr vs olmOCR

dots.ocr vs olmOCR

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OCR & Document AI · verified 13 Aug 2026

dots.ocrXiaohongshucurrent
olmOCRAllen Institute for AIcurrent
3 slots left
Specificationdots.ocrolmOCR
SummarySmall, multilingual, layout-aware.Fully open pipeline, weights and data.
OmniDocBench~93~91
Open weightsYesYes
HandlesLayout, 100+ languagesTables, markdown structure
LicenceMITApache 2.0
KindVision language modelVision language model
CategoryOCR & Document AIOCR & Document AI
OfficialXiaohongshuAllen Institute for AI

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 →

olmOCR

  • Preserves reading order and markdown structure
  • Training data published, which is rare

Best for reproducible research pipelines.

Full spec sheet →