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Android application for scanning and manipulating handwritten notes and documents.


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This little application provides a way on scanning handwritten notes and printed documents.

It automatically detect the edge of the paper over a contrastant surface.

When using the printed special page template it automatically detects the QR Code printed on the bottom right corner and scans the page immediately.

After the page is detected, it compensates any perspective from the image adjusting it to a 90 degree top view and saves it on a folder on the device.

It is also possible to launch the application from any other application that asks for a picture, just make sure that there is no default application associated with this action.


See the FAQ.


screenshot1 screenshot1 screenshot1 screenshot1


Because of the version of OpenCV that is used in the project it needs to run on Android 5.0 (lollipop) or newer.

In order to capture and manipulate images Open Note Scanner depends on having the OpenCV Manager application installed. If not installed Open Note Scanner will ask to download it from or from Google Play Store.

How to Install

Open Note Scanner is available for simplified installation on Google Play Store, from Amazon App Store and also from F-Droid Android Open Source Repository.

Get it on Google Play Get it on F-Droid

Disclaimer: Google Play version is ad-supported.

Binary APK file is available directly from GitHub in the releases section of the project.

Instructions for building

Android Studio

Import the project from GitHub using File -> New -> Project from Version Control -> GitHub, fill the URL

It will ask for a base directory, normally AndroidStudioProjects, you can change it to your preference.

After this the Open Note Scanner can be built.

Command Line

Go to your base folder and import it using git:

$ git clone

This should import the Open Note Scanner repository in OpenNoteScanner folder

You need to point the environment variable ANDROID_HOME to your Android SDK folder and run gradle to build the project:

$ cd OpenNoteScanner
$ export ANDROID_HOME=~/android-sdk-linux
$ ./gradlew assembleRelease

Instructions for Contributing

If you're new to open-source, we recommend you to checkout our Contributing Guidelines and Setup Guidelines. Feel free to fork the project and send us a pull request.


I've started this app on a brazilian holyday "extended weekend" based on the fact that I was unable to find any open source application that does this job. I was mainly inspired on the RocketBook Wave closed source application.

I really do not know if I will extend more the application, but I am writing bellow some objectives to make it better.


  • enhance the image gallery of scanned documents
  • register a share action in order to obtain documents already pictured through standard camera apps
  • implement automatic action based on the RocketBook Wave marking of the page


My job is on enterprise servers administration and some development consulting. I do collect money from my customers. I am well paid for that.

For being part of open source projects and documenting my work here I really do not charge anything. I am trying to avoid any type of ads also.

If you think that any information you obtained here is worth of some money and are willing to pay for it, feel free to send any amount through paypal or bitcoin.

Paypal Bitcoin


In order to fund the development of Open Note Scanner, since version 1.0.36 when downloaded from Google Play store the app will show ads on some screens and will also allow for donation through Google Play in-app purchase. There is no difference on the features available from Google Play version and F-Droid releases.


If you have any idea, feel free to fork it and submit your changes back to me.



As an open source application, contribution are always welcome.

Most translations contributions are listed on file and code contributors are listed on the Changelog file and the commits history

Other people helped submitting Issue Reports and giving info through the Telegram Group. Their help is appreciated as well.

External code

This application wouldn't be possible without the great material produced by the community. I would like to give special thanks to the authors of essencial parts I've got on the internet and used in the code:


Copyright 2016 - Claudemir Todo Bom

Software licensed under the GPL version 3 available in GPLv3.TXT and online on

Use parts from other developers, sometimes with small changes, references on autorship and specific licenses are on individual source files.