Amazon Rekognition vs Tesseract OCR: What are the differences?
What is Amazon Rekognition? Image Detection and Recognition Powered by Deep Learning. Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
What is Tesseract OCR? Tesseract Open Source OCR Engine. Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
Amazon Rekognition and Tesseract OCR can be categorized as "Image Analysis API" tools.
Tesseract OCR is an open source tool with 28.1K GitHub stars and 5.38K GitHub forks. Here's a link to Tesseract OCR's open source repository on GitHub.
According to the StackShare community, Tesseract OCR has a broader approval, being mentioned in 6 company stacks & 6 developers stacks; compared to Amazon Rekognition, which is listed in 7 company stacks and 4 developer stacks.