Image To Text is described as 'ImageToText app allows you to extract editable ASCII text from images, and share the results by EMAIL or EVERNOTE' and is an app in the office & productivity category. There are more than 50 alternatives to Image To Text for a variety of platforms, including Windows, Mac, iPhone, Web-based and Android apps. The best Image To Text alternative is Adobe Acrobat DC. It's not free, so if you're looking for a free alternative, you could try Tesseract or GImageReader. Other great apps like Image To Text are ABBYY FineReader PDF, CamScanner, OpenScan and Outline Knowledge Organizer.
Manage documents effortlessly, edit PDFs, create them from other formats, and e-sign anywhere. Secure sharing and comparison tools ensure smooth workflows and data protection. New AI Assistant offers quick document insights. Perfect for desktop and web platforms.
Tesseract.js is a javascript library that gets words in almost any language out of images.
Optical recognition software boasting unmatched text accuracy converts scanned documents to editable Word, Excel, or searchable PDFs while preserving layout. Supports 190 languages, simplifies processes with automated tasks, and includes PDF editing tools.
Your portable scanner. Use your camera to get high quality scans of paper documents, receipts, notes and more. Anytime, anywhere.
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.".
Collect your thoughts, think, write, brainstorm, and create the perfectly looking notes with this powerful, all-purpose, productivity tool.
NoteOCR is a specialized OCR tool designed to solve the problem of transcribing messy handwritten notes. Unlike generic scanners, NoteOCR focuses on cursive accuracy and structured data extraction.
The Adobe Scan scanner app turns your device into a powerful portable scanner that recognizes text automatically (OCR) and allows you to save to multiple file formats including PDF and JPEG.
Work with historical documents. Transcription of handwritten documents. Possible use of computational Handwritten Text Recognition.
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