OnnxTR and doctr
OnnxTR is a wrapper around docTR that converts its models to ONNX format for optimized inference, making them ecosystem siblings where one provides the core library and the other provides a runtime-specific implementation.
About OnnxTR
felixdittrich92/OnnxTR
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR
About doctr
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Implements a two-stage pipeline combining deep learning models for text detection (localizing words via DBNet) and recognition (identifying characters via CRNN), with support for rotated documents and multi-class extraction through the KIE predictor. Processes PDFs, images, and webpages with flexible bounding box handling and exports results as nested document structures (Page/Block/Line/Word) or JSON. Built on PyTorch with optional visualization and HTML synthesis capabilities.
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