Model card
DeepSeek-OCR.
DeepSeekopen-sourceVision-Language OCR Model
DeepSeek's OCR model for document understanding.
§ 02 · Benchmarks
Every benchmark DeepSeek-OCR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | olmOCR-Bench | Computer Vision · Document Parsing | accuracy | 75.7% | #15 | — | source ↗ |
| 02 | olmOCR-Bench | Computer Vision · Document Parsing | pass-rate | 75.7% | #15 | — | source ↗ |
| 03 | olmOCR-Bench | Computer Vision · Document Parsing | pass-rate | 75.4% | #16 | — | source ↗ |
| 04 | OmniDocBench | Computer Vision · Document Parsing | composite | 86.5% | #19 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where DeepSeek-OCR actually performs.
§ 04 · Papers
1 paper with results for DeepSeek-OCR.
- 2025-10-21· 1 result
DeepSeek-OCR: Contexts Optical Compression
§ 05 · Related models
Other DeepSeek models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
1
result
alphaxiv-leaderboard
1
result
github-readme
1
result
omnidocbench-leaderboard
1
result
0 of 4 rows marked verified.