Case Studies



Product overview: LLeets is a state-of-the-art text recognition application. This multilingual computer vision app lets you detect and extract various types of text, both digital and handwritten. The customer wanted to make this app so easy and fun to use so that people would prefer to take a picture of something and use the text instead of writing down something.

Issues: The customer wanted a computer outsourcing of the whole project. 5 of our professionals were involved in it. We needed to create the app, which allowed users to detect and extract data from any type of document, ranging from digital surveys to basic handwritten notes and letters. The app should be able to work with different surfaces and backgrounds, for instance, digital photos, simple photos, white papers, or yellow sticky notes. The app should be multilingual, covering 7 languages: English, German, French, Italian, Russian, Chinese, and Norwegian. We had to cover both formal and informal languages. We needed to gather Big Data from all currently available sources and find the suitable algorithms built-in or to develop from scratch and implement special computer vision algorithms to correctly comprehend the written data.

Technologies used: computer vision

Result: LLeets is robust, easy to use and greatly copes with all its functions.

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