2.3 KiB
kreuzberg-paddle-ocr
PaddleOCR via ONNX Runtime for Kreuzberg - high-performance text detection and recognition using PaddlePaddle's OCR models.
Based on the original paddle-ocr-rs by mg-chao, this vendored version includes improvements for Kreuzberg integration:
- Workspace Dependency Alignment: Uses Kreuzberg's workspace dependencies for consistency
- Edition 2024: Updated to Rust 2024 edition
- ndarray Compatibility: Aligned with Kreuzberg's ndarray version requirements
- Integration: Designed to work seamlessly with Kreuzberg's OCR backend system
Features
- Text detection using DBNet (Differentiable Binarization)
- Text recognition using CRNN (Convolutional Recurrent Neural Network)
- Angle detection for rotated text
- Support for multiple languages via PaddleOCR models
- ONNX Runtime for efficient CPU inference
ONNX Runtime Requirement
This crate requires ONNX Runtime 1.24+ at runtime.
Install it:
- macOS (Homebrew):
brew install onnxruntime - Linux: Download from ONNX Runtime releases
- Windows: Download from ONNX Runtime releases
Usage
This crate is used internally by Kreuzberg when the paddle-ocr feature is enabled:
[dependencies]
kreuzberg = { version = "4.2", features = ["paddle-ocr"] }
Models
PaddleOCR models are automatically downloaded and cached on first use. Supported models include:
- PP-OCRv5 server detection model
- PP-OCRv5 per-family recognition models (11 script families)
- PPOCRv2 mobile angle classification model
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgements
This project is based on the original paddle-ocr-rs by mg-chao, originally licensed under Apache-2.0. We are grateful for the foundational work that made this integration possible.
The original paddle-ocr-rs provides Rust bindings for PaddlePaddle's OCR models via ONNX Runtime, enabling efficient text detection and recognition without Python dependencies.