DeepSeek-OCR: Contexts Optical Compression research paper by DeepSeek, 2025
DeepSeek · Oct 21, 2025 · Inference and efficiency · 189 citations · 95 upvotes · unverified
What it shows
DeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing.
UnverifiedHugging Face's summary; not yet checked by hand.
More from DeepSeek
All 22Other inference and efficiency papers
TopicAbout this paper
- Authors
- Haoran Wei, Yaofeng Sun, Yukun Li
- arXiv
- 2510.18234 · PDF
- Venue
- arXiv.org
- Citations
- 189, 20 influential · Semantic Scholar
- Upvotes
- 95 · Hugging Face
- Code
- github.com/deepseek-ai/DeepSeek-OCR
- Lab
- DeepSeek · on Companies
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 20Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 189Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.