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  2. Photomath - Wikipedia

    en.wikipedia.org/wiki/Photomath

    Photomath is an educational technology mobile app, owned by Google. It features a computer algebra system with an augmented optical character recognition system, designed for use with a smartphone's camera to scan and recognize mathematical equations; the app then displays step-by-step explanations onscreen.

  3. List of photo and video apps - Wikipedia

    en.wikipedia.org/wiki/List_of_photo_and_video_apps

    Photomath: Photomath is a "camera calculator" for iOS and Android which uses a phone's camera for recognition of mathematical patterns from handwriting or notebooks and displays them directly onscreen. Yes [16] Yes [17] No Photos: Photos is a photo management and editing application developed by Apple. No: Yes No macOS: No Picas

  4. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. 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 (for example the text on signs and ...

  5. The 23 most useful free iPhone apps, according to Reddit - AOL

    www.aol.com/news/22-most-useful-free-iphone...

    Redditors are providing an online public service by recommending extremely helpful iOS apps that are absolutely free. There are adventure apps, sleep apps, education apps, sleep apps, mental ...

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    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  8. Tesseract (software) - Wikipedia

    en.wikipedia.org/wiki/Tesseract_(software)

    Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.

  9. Optical mark recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_mark_recognition

    That is, the marks are constructed in such a way that there is little chance that the OMR device will not read them correctly. This does require the image to have high contrast and an easily recognizable or irrelevant shape. A related field to OMR and OCR is the recognition of barcodes, such as the UPC bar code found on product packaging.

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