The Best Open Source Microsoft Lens AlternativesTop Document Scanners and other similar apps like Microsoft Lens
gImageReader is a simple Gtk/Qt front-end to the Tesseract OCR Engine.
- - GImageReader is the most popular Linux alternative to Microsoft Lens.
- - GImageReader is the most popular Open Source alternative to Microsoft Lens.
Opinions about GImageReader as a Alternative to Microsoft Lens
Crow Translate is a simple and lightweight translator programmed in C++ / Qt that allows to translate and speak text using Google, Yandex and Bing translate API.
Crow Translate Features
OpenScan is an open source app that enables users to scan hardcopies of documents or notes and convert it to PDF or JPEG files. Its motto is "No ads. No data collection. We respect your privacy.".
Not under active development.https://github.com/ethereal-developers/OpenScan#psa
This little application provides a way on scanning handwritten notes and printed documents.Discontinued
Not updated in 3 years. Google Play store says not compatible with current OS, and if you download from F-Droid it asks you to direct download another app to use it, which is not on Google Play or F-Droid.
Comments about Open Note Scanner as a Alternative to Microsoft Lens
Doesn't crash, easy install, easy to use, free, no ads.-1
OCR powered screen-capture tool to capture information instead of images.
Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
Main point of this app is to scan or select existing PDF documents simply using intent or chooser. Other apps require payment to access their api/sdk or simply don't have a possible way to do it. So they rely on switching between an app ,file chooser and a scanner.
Convert your phone into a mobile text scanner.
• Free • Extract text from images. • Edit, share, or export as PDF • Works offline to protect your privacy. • Reads text out loud. (Text-to-speech, TTS) • Recognizes printed text from more than 110 languages. • Scan documents with t.
Text Fairy Features
Quickly extract text from almost any source: youtube, screencasts, PDFs, webpages, photos, etc. Grab the image and get the text.