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OCR Online


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OCR Online-summary

The online image text recognition tool supports the detection and recognition of characters in images, and supports the text recognition of multiple languages such as Chinese simplified/traditional, English, Japanese, Arabic, Russian, German, French, Spanish, and Hindi.

OCR Online-instructions

The online text recognition tool that supports text recognition in multiple languages such as Chinese simplified/traditional, English, Japanese, Arabic, Russian, German, French, Spanish, and Hindi. This tool supports the recognition of JPG, JPEG, BMP, PNG format images, and supports up to 5MB image files.

  1. This tool needs to be used after login.
  2. This tool has a certain frequency limit, please use this tool reasonably.
  3. Example Image :

    OCR Result :

    Optical character recognition
    From Wikipedia, the free encyclopedia
    Optical character recognition or optical character reader (OCR) isthe electronic or mechanical conversion of images of typed, handwritteen or printed text into machine-encoded text, whether from a
    scanned document, a photo of a document, a scene-photo (for example the teit on signs and billboards in a landscape photo) or from subtitle text supsed on an image (for example: from a television
    broadcast).[1]
    Widely used as a form of data entry from printed paper data records -whether passport documents, invoices, bank statements, computerizeed receipts, business cards, mail, printouts of static-data, or any
    suitable documentation - it is a common method of digitizing printed teexts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such
    as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision
    Early versions needed to be trained with images of each character, and worked on one font at a time. Advanced systems capable of producirg a high degree of recognition accuracy for most fonts are now
    common, and with support for a variety of digital image file format inputs.(2) Some systems are capable of reproducing formatted output that cclosely approximates the original page including images
    columns, and other non-textual components.