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Initial Release • Fully offline OCR powered by PP-OCRv5, auto-detecting 80+ languages • Two scan modes: camera capture and gallery import • Copy, share, and export results as PDF (watch ad for free) • Text-to-speech playback in Chinese, English, Japanese, Korean • Local history with full-text search • 100% on-device processing — your privacy is fully protected
Free offline OCR with PP-OCRv5. Auto-detect 80+ languages, no internet needed
📷 Local OCR — The Offline Text Recognition App Powered by PP-OCRv5 open-source model. No internet required. No uploads. Your images and text never leave your device. 【Key Features】 • 📸 Camera Scan — Open camera, capture text instantly • 🖼️ Gallery Import — Select any image from your gallery • 🔊 Text-to-Speech — Listen to recognized text with one tap • 📄 PDF Export — Watch a short ad to export beautifully formatted PDF for free • 📤 Share Anywhere — Share recognized text to any app instantly • 📋 Quick Copy — Copy text to clipboard instantly • 🕒 History — All results auto-saved; search anytime • ✏️ Edit Results — Correct recognition errors inline 【Supported Languages】 PP-OCRv5 multi-language model auto-detects 80+ languages, including: • Chinese (Simplified/Traditional), Japanese, Korean • English, French, German, Spanish and other Latin-based languages • Arabic, Russian, Thai, Vietnamese, and more 【Privacy First】 ✅ 100% On-Device — PP-OCRv5 runs locally via ONNX Runtime, never online ✅ Zero Data Upload — Images and text never leave your device ✅ No Account Needed — Open and use immediately ✅ Works Offline — After initial model download (~20MB), full functionality in airplane mode 【Use Cases】 • Extract text from books, documents, business cards • Digitize handwritten notes and whiteboards • Prepare text for translation • Students digitizing study notes • Office document digitization 【Technology】 This app uses Baidu's open-source PaddleOCR (PP-OCRv5) model running locally on your Android device via ONNX Runtime. Initial model download is ~20MB, then fully offline. Free, fast, and privacy-respecting OCR for everyone.