Tesseract based OCR for android

Android Tesseract OCR

Easiest and simplest OCR scanner library for Android built using Tesseract and Leptonica.

tess-two usage example. This Android project uses Tesseract for performing OCR.

A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.

OCR Android app using tesseract

Android app to extract name, email and phone from business card using OCR library tess-two (Fork of Tesseract Tools for Android) and phone's camera.

Android OCR之tesseract

CamScanner like android application containing basic Image Processing using OpenCV and OCR using Tesseract

Android-tesseract(ocr) achieve project and language package.

Tesseract is a cross-OS optical character recognition (OCR) engine developed by HP in the 1980s, and since 2006, maintained by Google as an open-source project with high marks for accuracy in reading raw image data into digital characters. The project has been continuously developed and now offers OCR supported by LSTM neural networks for highly improved results. In this session, we’ll use the Python wrapper for Tesseract to first test drive OCR on images through code before connecting our solution to a live IP video feed from your smartphone processed through OpenCV, and then translating the resultant text stream into audible form with gTTS (Google Text-To-Speech), enabling our mashup program to automatically read out loud from any script it ‘sees’. Prerequisites: —Python IDE such as PyCharm (https://www.jetbrains.com/pycharm) —The Tesseract engine (https://tesseract ocr.github.io/tessdoc/Home.html) —A smartphone configured as an IP Webcam (https://www.makeuseof.com/tag/ip-webcam-android-phone-as-a-web-cam/) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings #OCR #TextToSpeech #Tesseract

Android app for solving mathematical equations using Tesseract OCR library and Wolfram API.

A simple android application to demonstrate how to use Tesseract to perform OCR

A cordova plugin which provides live ocr scanning capabilities for Android and iOS using Tesseract

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This is Tesseract OCR (character recognition) Android application with OpenCV.

Ported OpevCV version to Android. Image Analysis Project: Built a system to take images of receipts or invoices as input and segment the text on the receipt. Using Tesseract OCR, we extracted the text from the receipts and stored it in a file.

This Android App detects a Region of Interest and reads the OCR Number with Tesseract, Leptonica and OpenCV

Enabling remote control and screen projection of mobile devices to PCs for automation testing. Utilized Python, SwiftUI, PyQtGui, ADB, Twilio API, OpenCV, Tesseract OCR, and Appium to test screen mirroring, music, calls, and navigation on Android and iOS. Included automated tests, error handling, and user feedback features.

Android OCR Text Recognition Scanner: An open-source Android app to extract and recognize text from images using ML Kit, Tesseract, and Google Cloud Vision. Fast, accurate, and easy to use for all your image-to-text needs.

Implementation of the Tesseract OCR engine in an Android app.

DroidTranslate is a Turkish-English translator for Android. It uses Tesseract Tools as an OCR library.

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A sample code to perform OCR offline in native Android.

AndroidOCR Application Basedon Tesseract

Android OCR tool based on tesseract

Android OCR Example using Mobile Vision & Tesseract

A streamlined project for implementing Tesseract-based OCR in Kotlin on Android.

This android mobile application (LangGuide) which could extract the text from image and translate the extracted text to some other language choose by user. The image is passed to connected component analysis to highlight text portions in image and given Tesseract-OCR to extract text and passed to Bing translator to translate detected text.

Developed a Python-based GUI to control and test Android and iOS devices. Integrated Scrcpy for real-time screen mirroring, Appium for automation testing, Twilio API for communication, and Tesseract OCR for text recognition.