NAPS2 is a document scanning application with a focus on simplicity and ease of use.
Cost / License
- Free
- Open Source
Application typeApplication types
Platforms
- Mac
- Windows
- Linux
United States




Apps similar to CloudScan include NAPS2, which is free and open source. Other options are Adobe Acrobat DC, ABBYY FineReader PDF, Simple Scan and OwlOCR. In total there are nine Document Scanners like CloudScan for Windows, Mac, Linux, the web and iPhone.
NAPS2 is a document scanning application with a focus on simplicity and ease of use.




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.




Simple Scan is an easy-to-use application, designed to let users connect their scanner and quickly have the image/document in an appropriate format.


OwlOCR 7 is a macOS OCR app for text you can see but cannot select. Capture a screen region, open an image or PDF, paste supported content, or import a photo or scan from an iPhone or iPad. Apple Vision performs fast on-device recognition.




OCR Reader is an image to text converter program that allows you to extract text from PNG, JPEG, TIFF, WEBP, and BMP image files using Optical Character Recognition.

Scanitto Pro is Windows-based software application for image scanning, direct printing and copying, basic editing and text recognition (OCR).



If you have a scanner, this app makes it easy to scan documents and pictures and save them where you'd like.

This document scanner application is developed for windows only. Compatible with both WIA and TWAIN. Users can Rotate, crop, rearrange scanned images and identify texts using OCR module
