Speed of processing

OCR-IT Cloud OCR API provides access to high-quality OCR from devices and environments where OCR does not reside locally due technical limitations and other constraints.  This enables such environments to perform OCR-related tasks without use of local resources or maintenance and upkeep.  In some cases, cloud-based OCR is the only option to enable image processing and text recognition.  As the result, since images are processed off-device, developers should consider several optimization techniques at every stage of their submission process. In general, the Web OCR process is represented here: The entire conversion workflow can be separated into these logical steps: Image capture, creation, optimization Transmission to cloud Processing Transmission back to source Text/data processing There are multiple actions developers can take at each process stage to achieve fastest possible processing.  Let’s explore each stage separately. 1. Image capture, creation, optimization – preparation of the image for submission to processing.  This is one of the most important steps in successful workflow, since all consecutive stages will depend on the result of this stage.  Image should be as clear as possible to achieve higher level of OCR.  This means using various techniques such as user guidance and training to achieve better images, on-device quality check, resolution check, shake detection, image cleanup to prepare clean and small image for transmission, as well as other techniques.  An average 3G connection upload speed on iPhone or Android device is about 0.85 Mbps (0.11MBps) per PCWorld field tests here.  The average photo size is about 2.5 MB.  This means the upload of the original photo alone will take about 23 seconds.  However, if the image is binarized prior to transmission, the resulting black & white image filesize can be about 30 KB,...

OCR-IT Team attended Apps World 2013 tradeshow in San Francisco – post visit summary

If your have attended Apps World 2013 last week, you could not have missed OCR-IT corner booth right in front of ‘Media & Speakers Lounge”.  OCR-IT Team members were wearing bright yellow sweaters and gave away environmentally-friendly carry bags, cell phone stands, and other items to booth visitors.  We had many great conversations, suggestions about future cloud-based OCR products, questions about API and valuable feedback about our existing services.   It was interesting to see people look at our diagrams for a few seconds, and then exclaim “That’s a good idea!” or “I did not know that was possible!” or “I could definitely use it in my apps!“.   On the first day over 7,000 attendees walked the show floor learning about new and emerging technologies, major service providers, and big-name players in Apps and Mobile markets.  OCR-IT shared two major offerings: OCR-IT Cloud 2.0 API and Managed OCR Services. Visitors attended seminars, visited vendor booths, and overall enjoyed modern high-tech environment between sessions. OCR-IT Team members demonstrated OCR capabilities on the spot via Web browser and mobile apps created by other third-party developers using OCR-IT API on iPhone, iPad, Android devices.  Visitors asked to take pictures of signs, their badges, business cards, receipts, books they were carrying and other text-based documents just to see how OCR-IT could process them.  Within a few seconds of processing and after seeing processing results in digital text, they were impressed with high accuracy of OCR from OCR-IT Web service.  It was great to see their reaction, smiles, and sparkles in their eyes as numerous ideas how to use OCR-IT services jumped into their minds. The second day was slower, and OCR-IT Team had more time...