The SemaMedia platform also supports video OCR with the Video OCR API. It returns an array of results, each a region of text with a position in the image, as well as the text result. The API handled the supplied image very well. In scenarios where the language is known this should actually improve the accuracy, as it lets the API compare the recognized words with the dictionary (when using the df=True option). 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. Related: How to use the Computer Vision API with Python 2. 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. Special capabilities – some of dthe API we’ve covered have special capabilities, making them more well suited for specific tasks like scanning invoices / recognizing logos.Price – we outline the price per call of the different APIs.Accuracy – we tried them all with the picture bellow to make sure they clearly recognize the text.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. How much does it cost to use an OCR API?.What are some well known OCR APIs available as a web service?.

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