RDI or ‘The Engineering Company for the Development of Digital Systems’ began its journey on 1993 with a dream to develop a base that would convert raw ideas emerging from academia into workable prototypes, as well as providing an incubator for these prototypes that would allow further development until they reach the stage of commercial interest (products). These products come to the light with the effort of a team of expert programmers, research engineers and business developers who spend millions of working hours turning ideas and dreams to usable, useful applications to the society and creating one-of-a-kind Egyptian company.
Sotoor is the all-in-one Arabic typewritten optical character recognition (OCR) software package that converts scanned images of Arabic documents into a fully editable and searchable text file. In addition to the accurate and reliable recognition engine, Sotoor is able to maintain the layout of the original document.
Kateb is the real time Automatic Speech Recognition (ASR) software solution that transcribes Arabic voice from recorded audio files into a fully editable and searchable text files. Kateb is supporting Modern Standard Arabic (MSA), and the Egyptian Dialectical Arabic. Kateb provides one of the best recognition.
Natiq is the professional state-of-the-art text-to-speech software provided by RDI that enables users to convert the Arabic row text into spoken words with different natural voices. This technology is built on Tashkeel (RDI Diacretizer) that converts the row text into diacretized text so that it can be converted into speech easily.
Hafss© which has proved effective in helping people learn Tajweed of the holy Qur’an. Hafss© recites a verse, asks the learner to imitate it, analyzes the learner’s utterance, hence reports automatically about mistakes (if any) via an oral as well as written report. Hafss has been declared first in the 2007 WSA Award.
Tashkeel is the machine translation system provided by RDI that enables users to convert Arabic row data into vocalized text through adding diacritics to bare letters. It combines statistical and rule-based approaches in order to make advantage of their integration while avoiding their disadvantages.
Araa is multi-resource ground-breaking complete solution, integrating Automatic Speech Recognition (ASR), Sentiment Analysis technologies, and Arabic Natural Language Processing (NLP) techniques to enable Arabic social media text, Audio and Video recordings to be analyzed for sentiment analysis purposes.