OPEN_SOURCE ↗
REDDIT · REDDIT// 3d agoBENCHMARK RESULT
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