BENCHMARKS Open benchmarks, every parser we could run, every test public. ← All benchmarks

MULTI-COLUMN · OMNIPARSEBENCH · MULTI_COLUMN TAG

Multi-column: Datalab accurate scores 94.2% on OmniParseBench · multi_column tag.

Every OmniParseBench test on a multi-column page: 3,517 tests from 635 documents. Order tests check that text comes out in reading order across columns, and layout tests check that headings, text and tables are told apart.

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SCOREBOARD · OmniParseBench · multi_column tag

Ranked scoreboard.

Models ranked highest-to-lowest. Datalab variants in accent; competitors and prior generations in muted ink.

Rank Model Score vs scale

01 Datalab accurate current model, Oct 20 94.2%

02 Gemini 3.8 Flash* 92.3%

03 Datalab balanced 91.9%

04 LlamaParse 91.4%

05 Reducto 91.3%

06 Mistral OCR 89.6%

07 Extend 88.3%

08 GPT-5.6 Sol 87.4%

09 Claude Sonnet 5.5* 86.5%

10 Azure 83.8%

#1 of 10 parsers

3,517 tests · 635 documents

* Used in creating and verifying at least some OmniParseBench tests.

WHY THIS NUMBER IS CREDIBLE

Every OmniParseBench test is a yes/no question about one page, and every score is the share of tests passed. The scorer is open code with no model judging the outputs. Each tag score here is the mean of the text, tables and layout pass rates on the tests with that tag. Score any slice yourself in the OmniParseBench post, or download the tests from the Hugging Face dataset.

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OTHER BENCHMARKS

Compare on another doc type.

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Tables Financial filings · regulatory PDFs · research data 95.2% 95.2 for Datalab accurate on 6,767 table tests, the top score of every parser. Each cell must sit under the right headings and beside the right neighbors. Overall Every test: text, tables and layout 93.5% 93.5 for Datalab accurate, the top score of every parser we ran.

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