Overview

Amazon Rekognition

Stacks79

Followers152

Votes4

EasyOCR

Stacks8

Followers67

Votes0

GitHub Stars28.3K

Forks3.5K

Amazon Rekognition vs EasyOCR: What are the differences?

Introduction:

In this analysis, we will compare Amazon Rekognition and EasyOCR, two popular image recognition technologies, to understand their key differences and functionalities.

Pricing and Availability: Amazon Rekognition is a commercial cloud-based service offered by Amazon Web Services (AWS). It requires a subscription plan and charges based on the number of images analyzed. On the other hand, EasyOCR is an open-source library that is free to use, making it more accessible for developers without any financial commitment.
Accuracy and Language Support: Amazon Rekognition is backed by Amazon's deep learning technology, providing high accuracy in image recognition tasks. It offers support for broad language recognition, including text extraction from images. EasyOCR, as an open-source solution, may not match the same level of accuracy and comprehensive language support but still provides satisfactory results for basic OCR tasks and supports commonly used languages.
Customization and Training: Amazon Rekognition allows users to train custom models to recognize specific objects or patterns within images. This feature enables users to create specialized image recognition systems tailored to their unique requirements. EasyOCR, being an open-source library, currently does not offer a direct way to train custom models. However, developers have the flexibility to modify and enhance the library's capabilities to meet their specific needs.
Integration and API Support: Amazon Rekognition provides a RESTful API, making it easy to integrate the service into existing applications or systems. It offers SDKs for various programming languages, simplifying the development process. On the other hand, EasyOCR provides Python-based APIs that facilitate integration with Python-based projects. While it may not have the extensive language support like Amazon Rekognition, it is suitable for developers working with Python-centric applications.
Additional Image Analysis Features: Amazon Rekognition offers various advanced image analysis features, such as facial recognition, emotion detection, object detection, and celebrity recognition. These functionalities go beyond basic optical character recognition (OCR) tasks. EasyOCR primarily focuses on OCR capabilities, providing accurate text extraction from images but without the additional analysis features offered by Amazon Rekognition.
Data Privacy and Security: When using Amazon Rekognition, as a cloud-based service, the images and data being processed are sent to and stored on Amazon's servers. This might raise concerns regarding data privacy and security, as the images could potentially be accessible to Amazon. In contrast, since EasyOCR is open-source, the image recognition process can be performed offline, ensuring greater control over data privacy and security.

In summary, Amazon Rekognition is a reliable, feature-rich, and commercially available image recognition service offered by Amazon Web Services. It provides extensive language support, advanced image analysis features, and training capabilities for custom models. On the other hand, EasyOCR is an accessible open-source library primarily focused on OCR tasks, providing satisfactory results for basic text extraction. EasyOCR offers simplicity, free usage, and offline image recognition, making it a suitable choice for developers working on Python-centric projects with modest OCR requirements.

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Advice on Amazon Rekognition, EasyOCR

Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

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.

53.3k views53.3k

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Detailed Comparison

Amazon Rekognition	EasyOCR
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.	It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
-	Currently supporting 45 languages; Run on command line
Statistics
GitHub Stars -	GitHub Stars 28.3K
GitHub Forks -	GitHub Forks 3.5K
Stacks 79	Stacks 8
Followers 152	Followers 67
Votes 4	Votes 0
Pros & Cons
Pros 4 Integrate easily with AWS Cons 1 AWS	No community feedback yet
Integrations
No integrations available	Windows

What are some alternatives to Amazon Rekognition, EasyOCR?

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.

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.

Image to Prompt AI

Free AI-powered image to prompt generator. Upload images and get detailed prompts for AI art generation with our advanced converter.

Free AI Image Detector

Is this image AI-generated? Free AI detector with 99.7% accuracy detects fake photos, deepfakes, and AI images from DALL-E, Midjourney, Stable Diffusion. No signup required.

SAM 3D

Meta's SAM 3D brings human-level 3D perception to computer vision. Reconstruct objects and bodies from single images with unprecedented accuracy and speed.

libpng

It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested.