Kaagaz Scanner is described as 'Simple and easy to document scanning & storage app with no sign in, no ads, completely free and no watermark' and is a document scanner in the office & productivity category. There are more than 10 alternatives to Kaagaz Scanner for a variety of platforms, including Android, iPhone, iPad, Android Tablet and Web-based apps. The best Kaagaz Scanner alternative is OpenScan, which is both free and Open Source. Other great apps like Kaagaz Scanner are CamScanner, Scanbot Document Scanner SDK, Genius Scan and Notebloc.
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.".
OpenScan is the most popular Android alternative to Kaagaz Scanner.
OpenScan is the most popular Open Source & free alternative to Kaagaz Scanner.
Your portable scanner. Use your camera to get high quality scans of paper documents, receipts, notes and more. Anytime, anywhere.
CamScanner is the most popular Web-based, Windows, Mac, iPhone, iPad & Android Tablet alternative to Kaagaz Scanner.
With the Scanbot Document Scanner SDK, companies can easily equip their mobile and web applications with a fast, accurate, and user-friendly mobile document scanner.
Scanbot Document Scanner SDK is the most popular commercial alternative to Kaagaz Scanner.
Genius Scan is a scanner in your pocket. Quickly scan your documents on the go and export them as JPEG or multi-page PDF files.
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.
Get rid of paper clutter with Stack. Stack is a PDF scanner, document organizer, and detail finder. All in one.
Pocket Scanner Ultimate is the stand-alone version of Kdan’s Pocket Scanner series. Search “Pocket Scanner Cloud” in the App Store and try out the app & cloud services for free!
vFlat scans your books quickly and beautifully, flattening the curved pages with the help of deep learning.
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