The SemaMedia API also requires manually setting the language with each request (using the lang parameter).
It also has a “sister” API – Video OCR – which is optimized for extracting text from videos (more on that later). This API is a dedicated OCR platform, with a single function – Image OCR.
Optical text recognition software how to#
Related: How to use the Computer Vision API with Python 2.
Optical text recognition software free#
The free tier for Microsoft’s API will give you 5,000 requests per month. The division is convenient for understanding the structure of the content in the image, though if you just need the text as one large string and don’t care about positioning, it’ll require more code. Each region has lines, and each line has words, which contain the actual text. The text recognition works well, and returns the text divided into regions of text. Both endpoints work the same, with the different sources. The Microsoft API offers two OCR endpoints: OCR from image file and OCR from image URL. The Microsoft Computer Vision API is a comprehensive set of computer vision tools, spanning capabilities like generating smart image thumbnails, recognizing celebrities in images and describing the content of images using AI. View the Best OCR APIs List The Best OCR APIs 1. We used the following image to try out the API as it contains a lot of text in different styles & sizes, as well as some graphics that could confuse the API.
We’ve looked at several APIs for OCR, evaluating them based on: This is very useful for processing scans/pictures of text – for instance, when working with invoices, scanned forms and signage. OCR lets you recognize and extract text from images, so that it can be further processed/stored. OCR – Optical Character Recognition – is a useful machine vision capability.
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