Need advice about which tool to choose?Ask the StackShare community!

Amazon Rekognition

67
115
+ 1
4
Tesseract.js

26
86
+ 1
2
Add tool

Amazon Rekognition vs Tesseract.js: 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.js? Pure JavaScript OCR for 60 Languages. 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.

Amazon Rekognition and Tesseract.js belong to "Image Analysis API" category of the tech stack.

Tesseract.js is an open source tool with 16K GitHub stars and 1.09K GitHub forks. Here's a link to Tesseract.js's open source repository on GitHub.

Decisions about Amazon Rekognition and Tesseract.js
Vladyslav Holubiev
Software Enginieer at Shelf · | 1 upvote · 25.9K views

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Amazon Rekognition
Pros of Tesseract.js
  • 4
    Integrate easily with AWS
  • 2
    Graph Recognization

Sign up to add or upvote prosMake informed product decisions

- No public GitHub repository available -

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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon Rekognition?
What companies use Tesseract.js?
See which teams inside your own company are using Amazon Rekognition or Tesseract.js.
Sign up for Private StackShareLearn More

Sign up to get full access to all the companiesMake informed product decisions

What are some alternatives to Amazon Rekognition and Tesseract.js?
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 Cloud Vision API
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
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.
EasyOCR
It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
See all alternatives