5/29/2023 0 Comments Microsoft ocr tool![]() The free tier for SemaMedia’s API will give you 100 requests per month. A detailed example can be found in our demo website. ![]() The analysis result of this method enables automatic video retrieval and indexing as well as content-based video search in video archives. According to the docs, video OCR is an analysis cascade which includes video segmentation (hard-cut), video text detection/recognition, and named entity recognition from video text (NER is a free add-on feature). 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.
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