Pages, text lines and words with location and confidence scores.Printed and handwritten text extraction in supported languages. The following list summarizes the common features: The Read OCR model is available in Computer Vision and Form Recognizer with common baseline capabilities while optimizing for respective scenarios. Refer to the full list of OCR-supported languages. OCR for handwritten text includes support for English, Chinese Simplified, French, German, Italian, Japanese, Korean, Portuguese, and Spanish languages. OCR for printed text includes support for English, French, German, Italian, Portuguese, Spanish, Chinese, Japanese, Korean, Russian, Arabic, Hindi, and other international languages that use Latin, Cyrillic, Arabic, and Devanagari scripts. Then follow one of the links to the Read edition in the later sections that best meet your requirements.īoth Read versions available today in Computer Vision support several languages for printed and handwritten text. There will be no further updates to the Computer Vision 3.2 Read version. Optimized for text-heavy scanned and digital documents with an asynchronous API to help automate intelligent document processing at scale.įollow the Computer Vision 3.2 GA Read overview and quickstart, but note that all future Read OCR enhancements for image and document scenarios will be part of the two new services listed above. Optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.ĭocuments: Digital and scanned, including images Select the Read model and quickstart that best fit your requirements. With the latest preview, it's also available as a synchronous API for single, non-document, image-only scenarios with performance enhancements that make it easier to implement OCR-assisted user experiences. Read is available as cloud service and on-premises container for deployment flexibility. This allows them to extract printed and handwritten text including mixed languages and writing styles. Microsoft's Read OCR engine is composed of multiple advanced machine-learning based models supporting global languages. If you are extracting text from scanned and digital documents, use Form Recognizer Read OCR. Form Recognizer includes a document-optimized version of Read as its OCR engine while delegating to other models for higher-end insights. OCR typically refers to the foundational technology focusing on extracting text while delegating the extraction of structure, relationships, key-values, entities, and other document-centric insights to intelligent document processing service like Form Recognizer. How is OCR related to intelligent document processing (IDP)? Optical character recognition (OCR) allows you to extract printed or handwritten text from images, such as posters, street signs and product labels, as well as from documents like articles, reports, forms, and invoices.
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