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The team engine is working to establish Bangla in virtual world. On the next phase, we develop Puthi adding speech to text and text to speech OCR. The first version of Puthi will be available in the market in September. Their future plan is to make OCR read hand written text. At this moment, Some 200 type writer fonts, 200 non-Unicode fonts and over 400 Unicode fonts have been integrated in the application 'Puthi'. As a result the reading accuracy reached to 90 percent. The team engine continued with their research and in 2013, a programmer Samrat joined the team engine whose approach to solve the problems was a bit different and his contribution added a huge array of different fonts in the software. Using the initial result their collaborative effort reached to a scanning of 20-25 percent accuracy. In 2009, he started his own company 'Team Engine'. Because of that he decided to start typing the books of classic literature books and reprinted them under the banner of Green leaf education. Initially, a group of 16 people of his age assisted him in research. Pranto started his journey to develop a complete OCR for Bangla after coming back to his roots.

#Bangla puthi gaan pdf#

If possible then Bangla books can easily turned into PDF and book worms like him can be able to read Bangla books sitting in any part of the world. Then the thought came to his mind of making a Bangla version of it. He found that English OCR can scan a 400 pages book within 2 hours. During his stay in USA, it was the scarcity of Bangla books that initiated the dream of developing Bangla OCR. Firstly anyone can scan or take photo of a document and upload it to 'Puthi' to a comfortable format that can be editable. The Bangla OCR Puthi turns an image to editable and searchable. They are the dream catchers, we started from where they had stopped and developed it' Pranto told The Daily Observer. I also like to mention the name of Proffessor Muhammad Jafar Iqbal in this part.

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'Biyoy software innovator Mustafa Jabbar is the pioneer of Bangla OCR. Pranto and his team do not think themselves as the first initiators of Bangla OCR. Puthi is the First Bangla OCR with features of reading variables with accuracy.

The Bangla OCR - Puthi can read the Bangla characters (letters) and convert them to text or speech. OCR is the latest technology developed that can convert the pixel to text. The application helps to convert characters from an image to text.

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Later, Emanuel Goldberg developed what he called a 'Statistical Machine' using an optical code recognition system.

Scientists like Emanuel Goldberg and Edmund Fournier d'Albe had developed character readable converters and handheld scanners like 'Optophone' that produced tones corresponding to specific letters for the blind. The development of optical character recognition could be traced to activity around two issues: expanding telegraphy and creating reading devices for the blind. It is a dream project of Pranto which is made possible as a result of a decade long research and collaborative effort of his company named Team Engine. Again a young Bangladeshi entrepreneur proved that anything is possible if the determination is strong and the intention is honest.ДЄ USA returned IT professional Hasnat Shahrear Pranto has developed the first ever Bangla Optical Character Reader (OCR) software named 'Puthi'.