offline-ocr

Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr

Free, offline OCR using local LLMs with Ollama. Convert images to text with vision-enabled models running entirely on your machine — no cloud, no API costs, full privacy.

Offline OCR Android app — 免费开源免联网离线 OCR 汉字英日韩文字识别的安卓 Android 应用 — 基于 PaddleOCR，支持4 种语言，结巴分词，框选/逐行/分词交互模式|PaddleOCR PP-OCRv5,4languages, Chinese word segmentation, box/line/token interaction modes |

A lightweight, offline OCR tool for Windows based on WeChatOCR engine.Windows 本地离线 OCR 工具

📋 Offline, Multi-language and Faster OCR in terminal.

DeskOCR — possibly the fastest, lowest‑memory offline OCR application on Windows. 这是一个基于 .NET 8 的 OCR（光学字符识别）应用程序，使用 WPF 构建。完全基于cpu离线运行，不会因为联网运行造成你的隐私数据泄露，也不会因为GPU驱动问题导致兼容问题。支持可配置热键、结果窗口、选择窗口，以及灵活的“扩展”机制，可对识别文本执行外部动作（如搜索或翻译）。

A high-performance, privacy-focused Android OCR library for real-time text extraction. Works 100% offline using Google ML Kit and Tesseract. Perfect for scanning documents, receipts, and notes without data leaving the device. Fast, lightweight, and easy to integrate.

Offline OCR pipeline that converts Indian Electoral Roll PDFs into structured Excel/CSV data. Built with Python, OpenCV, and PaddleOCR — detects voter cards, extracts fields (EPIC, name, age, gender, section), and exports clean section-wise workbooks with manual review reports.

Offline OCR document automation desktop app for template table filling, Tesseract extraction, SQLite storage, validation, and traceable PDF, Word, Excel, and CSV exports.

A lightweight translator written in rust and fltk

Turn any spare phone into an always-on desk dashboard with live PC vitals, music lyrics, git status, and a Pomodoro timer.

将整页可滚动内容提取为文本并写入剪贴板：微信聊天记录、网页正文。微信聊天界面不向无障碍框架暴露内容，本项目采用屏幕截取与端侧中文 OCR，完全离线运行。| Extracts entire scrollable pages to the clipboard. On-device OCR, fully offline.

An offline OCR system for extracting text from images and documents without requiring an internet connection or external APIs.