FairScan Blog

When I started FairScan, it was the first time I was publishing software on my own.

I present FairScan as a "simple and respectful" app.

Let's say that you signed a 5-page work contract.

I give FairScan to everyone who wants to use it.

I've been working actively on FairScan for almost a year now.

When you start a scan in FairScan and point your device to a document, the app detects the document and displays a quadrilateral on top of the image to show how it will crop it when you press the capture button.

In my previous post, I talked about failed scans, but what's a good scan?

Since version 1.0, released last September, FairScan has been updated 11 times with regular improvements.

FairScan was designed to make document scanning very easy.

FairScan's goal is to make it fast and easy for users to get a PDF.

My ambition with FairScan is not just to build an open-source app: it's to make an app that everyone can use, including all the people who don't know what GitHub is.

To automatically detect documents, FairScan uses an image segmentation model.

I released the first public version of FairScan about two months ago.

I often describe FairScan as simple and respectful.

How does FairScan work at its core?

I just published the first version of FairScan and I'm starting this blog to share my experience developing this project.