Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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OCR, layout analysis, reading order, table recognition in 90+ languages
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Automatic License Plate Recognition library
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)
- manga
- anime
- ocr
- deep-learning
TranslatedFlyingMouse Format (飞鼠格式) - a free file format conversion tool for Windows (works offline, with FFmpeg/LibreOffice/Poppler/Tesseract built in). Converts between image/document/spreadsheet/PPT/PDF/audio-video/WPS formats + OCR + batch conversion; audio supports only common formats. Author: 牢蜂 (LaoFeng, "jailed bee") | For personal free use only; commercial sale, resale, and re-skinning are prohibited
- desktop-app
- electron
- ffmpeg
- file-converter
Fast and simple OCR library written in Swift
- ocr
- swift
- ocr-library
- optical-character-recognition
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
- captcha-recognition
- tensorflow-tutorials
- ocr
- tensorflow
Copy any text on your screen, stop retyping.
- macos
- productivity
- ocr
- textrecognition
How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.
Fast, accurate OCR with correctness assessment.
- image2text
- minicpm-v
- ocr
Papermerge OSS
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
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