Optical character recognition web app in JS and HTML5 (kdzwinel.github.io)

That would be great! Any idea how to locate the text on the image? Since face recognition can be done "online" ( http://auduno.github.io/clmtrackr/examples/facesubstitution.... ), finding text should also be possible.

It should probably work on Chrome for iPhone. It won't work on Safari since it doesn't support getUserMedia and WebGL.

You could use trigger.io or another phone frame work that gives you JS api access to the camera and pipe it to this library

Using simple text correction algorithm should work just fine. However, this goes beyond this simple experiment. I just wanted to demonstrate capabilities of ocrad.js . Feel free to implement it yourself! It seems that there are multiple JS auto-correction libs, e.g. https://code.google.com/p/careti/ .

Recognition algorithm is provided by ocrad.js which is a JavaScript version of the OCRAD project ( http://www.gnu.org/software/ocrad/ ). It's not perfect, but IMO it's very good - just make sure to use huge, printed, black-on-white text.

Thanks! It doesn't have to be 'huge' image, I just recommended it as it gives better results. Small text tends to be more distorted.

That's strange, I never got that bad results. Check out my video where I'm demonstrating the app ( https://www.youtube.com/watch?v=ttn437BlEbo ), you'll see what texts I've worked on.

I'm not sure what do you mean. Only code that I wrote for this demo is in index.html and main.js. These two files are not minified. Ocrad.js, jquery, modernizr, bootstrap are minified because these are libraries that I'm importing. Everything is explained under the app, please read the description.