OCRology
@OCRology
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OCRology is an Artificial Intelligence powered OCR solution for on-device, serverless data extraction from any document.
New Zealand
Joined May 2019
The most common scenario for #OCR is the printed/pdf OCR. The #structured nature of printed documents makes it much easier to parse them. Most OCR tools (e.g #Tesseract) are intended to address this task, & achieve good result. @thalesgroup @Currencycloud http:/ocrology.com
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Extract #data from your #ID cards, #invoices, and receipts in real-time with less #manual work and fewer typos into your systems and make better decisions using our fully optimized mobile #SDK. @WISeKey @SamsungSDSA
https://t.co/vZlZpgI33F
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Fast, reliable internet no matter how remote. Experience speeds up to 400+ Mbps to enjoy streaming your favorite shows and sports, video calling, browsing forums and weather apps—even in the most rural areas. Order online in under 2 minutes.
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OCRology: Intelligent #data extraction on your #mobile, powered by #Artificial Intelligence. @blockstack @SecureKey
https://t.co/WPCpiwBqvg
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#Optical Character Recognition #OCR of over 40 types of identity documents can be detected, including #passports, visas (with MRZ) and driving licenses. https://t.co/FsfQllJJ2i
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Arm your #business or customer with our #flexible and optimised mobile #SDK to capture unstructured and semi-structured data. @PassFortKYC @Garmin
https://t.co/c481QNZw8y
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Our mission is to help businesses streamline #workflow #automation, faster registration with data integrity, and less #operational costs. @Scanovate @ForgeRock
https://t.co/GysTf4F3yA
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Powered by Neural Networks, OCRology is available with a flexible & optimized #SDK. Our mobile SDK is lightweight, designed to achieve swift, accurate on-device level text detection and document processing, be it #real-time or offline. @AuthentiqID
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#SynthText is not a data-set, and perhaps not even a task, but a nice idea to improve training efficiency is artificial #data generation. @DiscoverElement
@shieldpay
https://t.co/IyIlbDUEY7
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Minimise repetitive tasks, #optimise #workflow and save your organisational costs. #ocrology
https://t.co/MmAoKZjPVa
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Early versions of #OCR had to be trained with images of each character and were limited to recognising one #font at a time. In the 1970s, inventor Ray Kurzweil commercialised “omni-font OCR”, which could process text printed in almost any font. https://t.co/hNnMYvgZXv
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#OCR in the wild; This is the most challenging OCR task, as it introduces all general computer #vision challenges such as noise, lighting, and artifacts into OCR. @dashlane @Uniken_Inc
https://t.co/IyIlbEcgmH
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#OCR traces its roots back to telegraphy. On the eve of the 1st World War, physicist Emanuel Goldberg invented a #machine that could read characters and convert them into telegraph #code. https://t.co/IyIlbEcgmH
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#CRNN Convolutional-recurrent neural network, is an article from 2015, which suggest a hybrid (or tribrid?) end to end #architecture, that is intended to #capture words, in a 3 step approach. @signifyd @truststamp
https://t.co/kyKGBTofTa
@truststamp
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In its most general meaning, OCR refers to extracting text from every possible image, be it a standard printed page from a book, or a random image with graffiti in it (“in the wild”). Such as reading license plates, no-robot captchas, street signs etc.
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The most common scenario for #OCR is the printed/pdf OCR. The #structured nature of printed documents make it much easier to parse them. Most OCR tools (e.g #Tesseract) are mostly intended to address this task, and achieve good result.
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Extract #data from your #ID cards, invoices, and receipts in real-time with less #manual work and fewer typos into your systems and make better decisions using our fully optimized mobile #SDK. @aidtechnology @trusona_inc
https://t.co/vZlZpgI33F
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Arm your business or #customer with our flexible and optimised mobile #SDK to #capture unstructured and semi-structured data. @getShoCard @GBRSedicii #OCR
https://t.co/i0P6IBHmKs
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Introducing #intelligent mobile optical character recognition #OCR that works #offline. @trulioo @civickey
https://t.co/eolR4qlCGI
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51% of financial executives experience pain with data problems. OCRology enables real-time data extraction from #ID cards, Invoices and receipts with less manual work and fewer typos. @Onfido
@BehavioSec
https://t.co/IyIlbEcgmH
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