doctr is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named doctr among their alternatives. The relationship is not symmetric — how doctr rates them is a separate judgement, made when doctr is analysed in its own right.
calls doctr “Choose when you want a modern, actively maintained PyTorch library focused on both text detection and recognition.”
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
calls doctr “Use for a modular Python library for text detection and recognition in your own pipeline.”
GLM-OCR: Accurate × Fast × Comprehensive
calls doctr “Deep learning OCR library for detection and recognition, easy to integrate, comparable to OpenOCR.”
OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers.
calls doctr “Trainable deep-learning OCR library; choose if you want to customize detection/recognition components.”
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
calls doctr “high-level OCR library with multiple model backends, covering OCR-only tasks.”
OCR, layout analysis, reading order, table recognition in 90+ languages
calls doctr “Use for a lightweight, actively maintained OCR library for text and document images.”
The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
calls doctr “choose when you need a PyTorch/TensorFlow OCR library you can fine-tune on your own text/layout tasks.”
Multilingual Document Layout Parsing in a Single Vision-Language Model
calls doctr “Choose for a maintained, pluggable OCR engine with PyTorch/TensorFlow backends and an active community.”
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
calls doctr “deep learning OCR library focused on text recognition”
A lightweight LMM-based Document Parsing Model
calls doctr “Python deep-learning OCR library for document text recognition, choose when building OCR into Python applications.”
树洞 OCR 文字识别（一款跨平台的 OCR 小工具）
calls doctr “when you need a focused OCR library for text detection and recognition, not full layout/markdown parsing.”
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.