JaidedAI/EasyOCR alternatives

Choose when you need a more production-ready OCR toolkit with built-in table/layout recognition and a larger model zoo, but you are comfortable with PaddlePaddle instead of PyTorch.

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.

Choose when you need OCR plus layout analysis and reading order in a single, compact library that works across 90+ languages.

OCR, layout analysis, reading order, table recognition in 90+ languages

Choose when you need ONNX-based OCR that runs on CPU/edge devices with no PyTorch dependency.

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

Choose when you want a unified multimodal OCR model that integrates with the GLM ecosystem, if you can use that stack.

GLM-OCR: Accurate × Fast × Comprehensive

Choose when you want a modern, actively maintained PyTorch library focused on both text detection and recognition.

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.

Choose when you need a comprehensive toolbox for text detection, recognition, and understanding within the OpenMMLab ecosystem.

OpenMMLab Text Detection, Recognition and Understanding Toolbox

Choose when you need OCR in Swift for iOS/macOS without a Python runtime, despite its older and narrower capabilities.

Fast and simple OCR library written in Swift

Choose when you want a lightweight Python tool that also converts layouts, tables, and math formulas to Markdown, and you prefer a free Mathpix-style alternative.

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Choose when you prefer using vision LLMs (like GPT-4o) for OCR and document extraction, accepting higher cost and API dependencies.

OCR & Document Extraction using vision models

Choose when you want automated document parsing with LLM-based structuring, not a low-level OCR engine.

A fast, helpful, and open-source document parser

Choose when you are researching document image parsing and want the ACL 2025 baseline, not a maintained production OCR.

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

Choose when you are building a document AI pipeline that orchestrates OCR, layout, and other models, not as a direct OCR drop-in.

A Repo For Document AI

Choose when your primary need is PDF-to-Markdown conversion with strong layout/table handling, rather than a plain OCR API.

OCRFlux is a lightweight yet powerful multimodal toolkit that significantly advances PDF-to-Markdown conversion, excelling in complex layout handling, complicated table parsing and cross-page content merging.

Choose when you need a compact C++/Caffe OCR implementation for legacy research or unusual deployment environments, not for modern accuracy.

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Choose when you are studying or extending the original LSTM-based OCR architecture in C++, not for end-user OCR.

A small C++ implementation of LSTM networks, focused on OCR.

Choose when you want a minimal, self-contained TensorFlow OCR implementation for training on custom data as a research reference.

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Choose when you need a simple, older TensorFlow implementation of the CNN+LSTM+CTC OCR as a starting point for experimentation.

CNN+LSTM+CTC based OCR implemented using tensorflow.