Tesseract.js is a javascript library that gets words in almost any language out of images.

Transym OCR is described as '(TOCR) is a leading provider of highly sophisticated, accurate and reliable optical character recognition software for developers' and is an app in the office & productivity category. There are more than 50 alternatives to Transym OCR for a variety of platforms, including Windows, iPhone, Mac, Web-based and Linux apps. The best Transym OCR alternative is Tesseract, which is both free and Open Source. Other great apps like Transym OCR are Adobe Acrobat DC, ABBYY FineReader PDF, GImageReader and CamScanner.
Tesseract.js is a javascript library that gets words in almost any language out of images.

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.




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.".



ClarifyDocuments is a free AI tool that converts PDFs, images, and slides into clean, editable text. It automatically cleans, organizes, and processes content in any language, helping students and educators focus on learning.






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.






SikuliX automates anything you see on the screen of your desktop computer running Windows, Mac or some Linux/Unix. It uses image recognition.
