Efficient Inference On Edge Devices Through Quantization And Model Optimization

via “model quantization and compression for edge deployment”

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Unique: Supports multiple quantization strategies (post-training quantization, quantization-aware training, knowledge distillation) with automatic accuracy validation. Outputs models in multiple formats (PaddlePaddle, ONNX, TensorRT, CoreML) for cross-platform deployment. Includes calibration dataset management and accuracy tracking.

More flexible quantization strategies than simple INT8 conversion; supports knowledge distillation for better accuracy preservation; outputs multiple model formats vs single-format tools; includes accuracy validation to prevent deployment of degraded models