Theory & Benchmarks

PaddleOCR is renowned for its efficiency and "ultra-lightweight" design, making it suitable for both server and mobile deployments.

Architecture: The PP-OCR Pipeline

PaddleOCR typically employs a three-step pipeline:

1. Text Detection: Uses models like DBNet (Differentiable Binarization) to locate text boxes.
2. Direction Classification: Detects text orientation (0, 90, 180, 270 degrees) to ensure correct reading.
3. Text Recognition: Uses models like CRNN (Connectionist Temporal Classification) or SVTR (Scene Text Recognition with ViT).

The recent PP-OCRv4 version introduces significant improvements in recognition accuracy for rare characters and symbols.

Benchmark Results

PaddleOCR is optimized for speed without sacrificing significant accuracy.

Comparison

PaddleOCR stands out in its support for over 80+ languages, making it the most versatile choice for international document processing.

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