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Machine- learning- based ocr techniques allow 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. Ocr or optical character recognition is also referred to as text recognition or text extraction. It also includes support for extracting text from microsoft word, excel, powerpoint, and html documents. Overview quickly extract text and structure from documents ai document intelligence is an ai service that applies advanced machine learning to extract text, key- value pairs, tables, and structures from documents automatically and accurately. To make use of azure computer vision you would need to change the pdf to an image ( jpg, png, bmp, gif) yourself. Document intelligence read optical character recognition ( ocr) model runs at a higher resolution than azure ai vision read and extracts print and handwritten text from pdf documents and scanned images. For extracting text from pdf, office, and html documents and document images, use the document intelligence read ocr model optimized for text- heavy digital and scanned documents with an asynchronous api that makes it easy to power your intelligent document processing scenarios. Original answer unfortunately azure has no pdf integration for it' s computer vision api. Turn documents into usable data and shift your focus to acting on information rather than compiling it. Google do now offer pdf integration and i have been seeing some really good results from it from my testing so far.
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