Company type | Private |
---|---|
Founder | David Yang [1] |
Number of employees | 1,000 (2023) |
Website | abbyy.com |
ABBYY is an American technology company specializing in intelligent document processing, [2] data capture, process intelligence and optical character recognition (OCR). [3] [4] [5] Primarily focused on software as a service model, the company serves clients worldwide. [6] One of ABBYY's best-known products is the ABBYY FineReader — an OCR application. [7]
The history of ABBYY dates back to 1989, when David Yang founded BIT Software company in Moscow. [8] In the early 1990s, the company introduces optical character recognition (OCR) and since then kept investing in artificial intelligence (AI), natural language processing (NLP) and machine learning (ML). [9] In July 1993, the first version of the text recognition software ABBYY FineReader was released. [10]
ABBYY entered the professional translation market in 2007. It partners with AI, analytics, and RPA vendors UiPath, Blue Prism, Alteryx, PwC India, and others. [3] [11] In 2019, ABBYY acquired TimelinePI, a process mining company, and Marlin Equity Partners became its biggest shareholder in 2021. [12] [13]
In 2022, the company declared a complete exit from the Russian market: it stopped sales/provision of services in Russia and Belarus, relocated critical personnel, and filed for the liquidation of its Russian legal entities. [14]
The company is headquartered in the Milpitas, California, with regional offices in 15 countries. [15] As of May 2023, ABBYY Group employs over 1,000 employees worldwide. [16]
ABBYY's CEO is Ulf Persson. [17]
Additional products include NeoML, a cross-platform open-source machine learning library. [23]
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo or from subtitle text superimposed on an image.
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Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available. A handwriting recognition system handles formatting, performs correct segmentation into characters, and finds the most possible words.
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Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents.
ABBYY FineReader PDF is an optical character recognition (OCR) application developed by ABBYY, with support for PDF file editing since v15. The program runs under Microsoft Windows 7 or later, and Apple macOS 10.12 Sierra or later. The first version was released in 1993.
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Intelligent Word Recognition, or IWR, is the recognition of unconstrained handwritten words. IWR recognizes entire handwritten words or phrases instead of character-by-character, like its predecessor, optical character recognition (OCR). IWR technology matches handwritten or printed words to a user-defined dictionary, significantly reducing character errors encountered in typical character-based recognition engines.
This comparison of optical character recognition software includes:
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Smart data capture (SDC), also known as 'intelligent data capture' or 'automated data capture', describes the branch of technology concerned with using computer vision techniques like optical character recognition (OCR), barcode scanning, object recognition and other similar technologies to extract and process information from semi-structured and unstructured data sources. IDC characterize smart data capture as an integrated hardware, software, and connectivity strategy to help organizations enable the capture of data in an efficient, repeatable, scalable, and future-proof way. Data is captured visually from barcodes, text, IDs and other objects - often from many sources simultaneously - before being converted and prepared for digital use, typically by artificial intelligence-powered software. An important feature of SDC is that it focuses not just on capturing data more efficiently but serving up easy-to-access, actionable insights at the instant of data collection to both frontline and desk-based workers, aiding decision-making and making it a two-way process.