Pickon FastCam is described as 'Secure mobile scanning with fast, high-quality local document digitization, smart crop, multiple filters, draw-to-clean tools, and complete offline privacy ensured' and is an app in the office & productivity category. There are more than 10 alternatives to Pickon FastCam for a variety of platforms, including Android, iPhone, Android Tablet, iPad and F-Droid apps. The best Pickon FastCam alternative is FairScan, which is both free and Open Source. Other great apps like Pickon FastCam are OSS Document Scanner, CamScanner, Preview and Open Scanner.
Android document scanner offering multi-page PDF creation, automatic detection, image enhancement, and distraction-free interface, all open-source. No ads, cloud, watermarks, or tracking—scans remain on your device. Minimal permissions ensure privacy and transparency.
The OSS Document Scanner is a free and Open Source app to transform your mobile device into a powerful document scanner.
Your portable scanner. Use your camera to get high quality scans of paper documents, receipts, notes and more. Anytime, anywhere.
Native macOS app for viewing, annotating, and editing images and PDFs, featuring tools for cropping, rotating, resizing images, rearranging pages, full-screen viewing, markup, document merging, batch conversion, and export in multiple formats.
Open Scanner is a fast and simple-to-use paper-scanning app with AI features to speed up your scanning workflow:
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.
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.
Scanner Pro turns your iPhone into portable scanner in your pocket. It lets you scan multipage documents, email them and even upload to Dropbox, MobileMe iDisk or any other WebDAV enabled server.
vFlat scans your books quickly and beautifully, flattening the curved pages with the help of deep learning.
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