Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux








The OSS Document Scanner is a free and Open Source app to transform your mobile device into a powerful document scanner.




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.".



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.





Skanlite is a simple image scanning application to scan and save images. Skanlite is based on libksane, an interface for SANE library to control image scanners.

Main point of this app is to scan or select existing PDF documents simply using intent or chooser. Other apps require payment to access their api/sdk or simply don't have a possible way to do it. So they rely on switching between an app ,file chooser and a scanner.

gscan2pdf can scan, clean the scan and do OCR on the scan or imported images (incl. existing PDFs, DjVus or other file types), and make PDF and DjVu-files with embedded OCR-text. It works together with tesseract, ocropus, cuneiform an...

XSane is a graphical scanning front-end for SANE (Scanner Access Now Easy). It uses the SANE-library to talk to scanners. It is designed for acquiring images with scanners (there are other devices like cameras and videodevices supported by SANE and you will see that xsane may...

Scanned Image Extractor is a tool for efficiently extracting rectangular photographs from album or (multiple) photograph scans.



SwingSane is a powerful, cross platform, open source Java client (frontend) for Scanner Access Now Easy (SANE) servers (backends). SwingSane provides access to scanners connected to SANE servers on a network on any platform that supports Java and Swing.




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
