fil/crates/kreuzberg-paddle-ocr

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.