The open-source code for the provides fast, easy credit card scanning in mobile apps
Objective-C C++ C Objective-C++ Python Swift Other
Latest commit 1ad9e24 Sep 23, 2016 @JussiSuojanen JussiSuojanen committed with braebot Finnish language support (#77)
* Add localization for finnish

- Created fi.strings file with correct localizations

* Add finnishLoc file to project

- Add comment about finnish as a supported language logo

Credit card scanning for mobile apps

Yes, that's right: the library for iOS is now open-source!

This repository contains everything needed to build the library for iOS.

What it does not yet contain is much in the way of documentation. 😿 So please feel free to ask any questions by creating github issues -- we'll gradually build our documentation based on the discussions there.

Note that this is actual production code, which has been iterated upon by multiple developers over several years. If you see something that could benefit from being tidied up, rewritten, or otherwise improved, your Pull Requests will be welcome! See for details.

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If you merely wish to incorporate within your iOS app, simply download the latest official release from That repository includes complete integration instructions and sample code.

If you use CocoaPods, then add this line to your podfile:

pod 'CardIO'

If you use Carthage, then add this line to your Cartfile:

github "card-io/"

Dev setup

  • clone this repo, including its dmz submodule: git submodule sync; git submodule update --init --recursive
  • requires Xcode 5+ (toolchain for iOS 7)
  • requires Python 2.6+
  • for building releases, requires pip and fabric


We use Python-based build scripts.

If you are using virtualenv and virtualenvwrapper, create a virtual environment (optional but recommended):

# Create virtual environment for Python
mkvirtualenv cardio

Install required Python dependencies (this command may require sudo rights if installing globally):

# Install required dependencies
pip install -r pip_requirements.txt


We use baler (included in pip_requirements.txt) to encode assets (strings and images) within our library. Create a .baler_env file in the top project directory, and set the $PATH environment variable to include where you installed baler. Examples:

    # Create a .baler_env, specifying the correct path for an installation using virtualenv
    echo 'export PATH=$PATH:~/.virtualenvs/cardio/bin' > .baler_env

    # - OR -

    # Create a .baler_env, specifying the correct path if not using virtualenv
    echo 'export PATH=$PATH:'`dirname \`which bale\`` > .baler_env

The submodule (included here in the dmz directory) includes the core image-processing code.

Normal development

Use Xcode in a normal fashion to build the library. The project's icc target is a demo app which will allow you to exercise the library in various ways.

Unofficial release

How to make a Release build of the library for your own use:

  • Run fab build:outdir=~ (or specify some other output directory).

Official release

How official releasers officially make an official release of

Contributors was created by Josh Bleecher Snyder.

Subsequent help has come from Brent Fitzgerald, Tom Whipple, Dave Goldman, Roman Punskyy, Mark Rogers, and Martin Rybak.

And from you! Pull requests and new issues are welcome. See for details.