PaddleOCR-VL or DeepSeek-OCR: which to choose for business
Both allow commercial use and convert scans to Markdown. PaddleOCR-VL is smaller (0.9B), Apache 2.0, supports 109 languages including Russian per its card, recognizes tables, formulas and stamps, and runs on a regular PC without a powerful GPU; the catalog notes that version 1.6 leads the OmniDocBench test. DeepSeek-OCR (about 3B, MIT and Apache 2.0) compresses a page into a small number of visual tokens and targets bulk processing, and it is in Ollama; Russian support is not confirmed in its card and CPU use is not marked. PaddleOCR-VL was updated more recently (2026-05 vs 2026-01).
Comparison based on catalog data
| Parameter | PaddleOCR-VL | DeepSeek-OCR |
|---|---|---|
| Category | Documents and OCR | Documents and OCR |
| Developer | Baidu (PaddlePaddle), China | DeepSeek, China |
| Releases | Oct 2025 – May 2026 | Oct 2025 – Jan 2026 |
| Sizes | 0.9B | about 3B |
| Hardware | Laptop | Laptop, 1 GPU |
| Commercial use | Commercial use allowed | Commercial use allowed |
| License | Apache 2.0 | DeepSeek-OCR: MIT; DeepSeek-OCR 2: Apache 2.0 |
| Russian | Supported | Not stated |
| Ollama | No | Yes |
| Without GPU | Yes | No |
| Tasks |
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Choose PaddleOCR-VL if
- Your documents are in Russian: invoices, contracts, waybills
- You need to recognize stamps, formulas and tables
- You have no GPU: the model runs on a regular PC
Choose DeepSeek-OCR if
- You process a large archive of scans in bulk
- You convert PDFs to Markdown for search and RAG
- You want to run it through Ollama
Other comparisons
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- Whisper or Parakeet: which to choose for business
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- SelectThe model and size for your task and hardware budget
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- Fine-tuneOn your data, or connect a knowledge base
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