Safe, Open, High-Performance — PDF for AI
-
Updated
Oct 8, 2025 - Java
Safe, Open, High-Performance — PDF for AI
Java OCR 识别组件(基于Tesseract OCR 引擎)。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content).
Tesseract based OCR for android
🔥🔥🔥Java免费离线AI算法工具箱,支持人脸识别,活体检测,表情识别、目标检测(支持视频流)、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、语音识别、机器翻译等功能,Maven引用即可使用。支持PyTorch、Tensorflow,已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型
ID Card and E-Passport Reader NFC Android Application - Sample Project with MLKit
Auto Attendance System Using Real Time Face Recognition With Various Computer Vision & Machine Learning Tools
Android id card recognition based on OCR. 安卓基于OCR的身份证识别。
An Android app to extract text from camera preview directly.
Use your camera to read number plates and obtain vehicle details. Simple, ad-free and faster alternative to existing playstore apps
Arabic Handwritten Characters Recognition using Deeplearning4j
Camera for Android,身份证号码识别 (本地,实时)
Offline Android application for detecting license plates in cars and recognizing their content in real time with Tensorflow model
⭕ Text recognition, Leptonica-based deep learning technology, the text on the picture, intelligent recognition as editable text. Support printing and handwriting recognition, including ID cards, business cards and other card types, but also support notes, waybills and other customized scene identification, can effectively replace the manual entr…
This repository will be helpful for scanning any text information from screen.
Read text and numbers with android camera OCR
A simple Android OCR (Optical Character Recognition) application that makes use of with Camera or Gallery (Image to Text).
OCR-Android
⚡️The speech synthesis based on baidu ai and ustc realizes a recognition software with functions of text recognition, id card recognition, bank card recognition, text broadcast and voice input
Add a description, image, and links to the ocr-recognition topic page so that developers can more easily learn about it.
To associate your repository with the ocr-recognition topic, visit your repo's landing page and select "manage topics."