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PaddleOCR-VL 1.5 tops DeepSeek-OCR in local benchmarks
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PaddleOCR-VL 1.5 tops DeepSeek-OCR in local benchmarks

Baidu's ultra-compact 0.9B parameter PaddleOCR-VL-1.5 outperforms DeepSeek-OCR-1 in local document parsing tests, particularly on noisy pages. Real-world user benchmarks show the new version achieving near-perfect accuracy and better stability without looping on complex layouts.

// ANALYSIS

While DeepSeek dominates general LLM discussions, Baidu's PaddleOCR remains the pragmatic choice for fast, local document extraction.

  • PaddleOCR-VL-1.5's 0.9B parameter size makes it significantly more efficient for edge deployment and consumer hardware than larger vision models
  • DeepSeek-OCR-1 struggles with stability on noisy or low-quality scans, sometimes looping or generating gibberish instead of text
  • The addition of irregular-shaped bounding box support in version 1.5 gives PaddleOCR a major advantage on warped or curved documents
  • Both models maintain strong multilingual support, but PaddleOCR's optimization for latency makes it better suited for production environments
// TAGS
paddleocrdeepseek-ocrmultimodalopen-weightsbenchmarkself-hosted

DISCOVERED

3d ago

2026-04-08

PUBLISHED

3d ago

2026-04-08

RELEVANCE

8/ 10

AUTHOR

Final-Frosting7742