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Learn MorePros of Amazon Rekognition
Pros of Tesseract.js
Pros of Tesseract OCR
Pros of Amazon Rekognition
- Integrate easily with AWS4
Pros of Tesseract.js
- Graph Recognization2
Pros of Tesseract OCR
- Building training set is easy5
- Very lightweight library2
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Cons of Amazon Rekognition
Cons of Tesseract.js
Cons of Tesseract OCR
Cons of Amazon Rekognition
- AWS1
Cons of Tesseract.js
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Cons of Tesseract OCR
- Works best with white background and black text1
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What is Amazon Rekognition?
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.js?
This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.
What is Tesseract OCR?
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.
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What companies use Amazon Rekognition?
What companies use Tesseract.js?
What companies use Tesseract OCR?
What companies use Amazon Rekognition?
What companies use Tesseract.js?
What companies use Tesseract OCR?
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What tools integrate with Amazon Rekognition?
What tools integrate with Tesseract.js?
What tools integrate with Tesseract OCR?
What tools integrate with Amazon Rekognition?
What tools integrate with Tesseract.js?
No integrations found
What tools integrate with Tesseract OCR?
No integrations found
What are some alternatives to Amazon Rekognition, Tesseract.js, and Tesseract OCR?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Google Drive
Keep photos, stories, designs, drawings, recordings, videos, and more. Your first 15 GB of storage are free with a Google Account. Your files in Drive can be reached from any smartphone, tablet, or computer.
CloudFlare
Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet.
Dropbox
Harness the power of Dropbox. Connect to an account, upload, download, search, and more.