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  1. Stackups
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  3. Image & Video Models
  4. Image Analysis API
  5. Amazon Rekognition vs Google Cloud Vision API vs Tesseract OCR

Amazon Rekognition vs Google Cloud Vision API vs Tesseract OCR

OverviewDecisionsComparisonAlternatives

Overview

Tesseract OCR
Tesseract OCR
Stacks96
Followers286
Votes7
GitHub Stars70.7K
Forks10.4K
Google Cloud Vision API
Google Cloud Vision API
Stacks139
Followers276
Votes16
Amazon Rekognition
Amazon Rekognition
Stacks79
Followers152
Votes4

Amazon Rekognition vs Google Cloud Vision API vs Tesseract OCR: What are the differences?

# Introduction

1. **Integration**: Amazon Rekognition offers seamless integration with other AWS services, Google Cloud Vision API integrates well with other Google Cloud services, while Tesseract OCR is an open-source solution that can be integrated with various platforms and programming languages.
2. **Accuracy**: Amazon Rekognition and Google Cloud Vision API use advanced machine learning algorithms resulting in higher accuracy in image recognition tasks compared to Tesseract OCR, which relies on traditional OCR techniques.
3. **Supported Languages**: Amazon Rekognition and Google Cloud Vision API support a wide range of languages for text detection and recognition, while Tesseract OCR may have limitations in recognizing languages other than English without additional training.
4. **Cost**: Amazon Rekognition and Google Cloud Vision API are cloud-based services that charge on a pay-as-you-go pricing model, in contrast, Tesseract OCR is open-source and free to use without any cost implications.
5. **Customization**: Amazon Rekognition and Google Cloud Vision API provide customization options for specific use cases and industry requirements through APIs and SDKs, whereas Tesseract OCR may require more manual configuration and tuning for specialized tasks.
6. **Speed**: Amazon Rekognition and Google Cloud Vision API are known for their quick image processing speeds, making them suitable for real-time applications, while Tesseract OCR may experience latency issues when dealing with large datasets or complex images.

In Summary, Amazon Rekognition and Google Cloud Vision API offer advanced image recognition capabilities with seamless integration and high accuracy compared to the open-source Tesseract OCR, ensuring efficient and reliable results for various use cases.

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Advice on Tesseract OCR, Google Cloud Vision API, Amazon Rekognition

Vladyslav
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
Comments

Detailed Comparison

Tesseract OCR
Tesseract OCR
Google Cloud Vision API
Google Cloud Vision API
Amazon Rekognition
Amazon Rekognition

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.

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.

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.

-
Powerful Image Analysis; Insight From Your Images; Detect Inappropriate Content; Image Sentiment Analysis; Extract Text
-
Statistics
GitHub Stars
70.7K
GitHub Stars
-
GitHub Stars
-
GitHub Forks
10.4K
GitHub Forks
-
GitHub Forks
-
Stacks
96
Stacks
139
Stacks
79
Followers
286
Followers
276
Followers
152
Votes
7
Votes
16
Votes
4
Pros & Cons
Pros
  • 5
    Building training set is easy
  • 2
    Very lightweight library
Cons
  • 1
    Works best with white background and black text
Pros
  • 9
    Image Recognition
  • 7
    Built by Google
Pros
  • 4
    Integrate easily with AWS
Cons
  • 1
    AWS

What are some alternatives to Tesseract OCR, Google Cloud Vision API, Amazon Rekognition?

Tesseract.js

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.

Free AI Image Detector

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

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.

Image to Prompt AI

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.

libpng

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.

OpenJPEG

OpenJPEG

It is an open-source JPEG 2000 codec written in C language.

ZXing

ZXing

It is a barcode scanning library for Java, Android. Decode a 1D or 2D barcode from an image on the web.

EasyOCR

EasyOCR

It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.

libjpeg

libjpeg

It is a free library for JPEG image compression.

Restb.ai

Restb.ai

It tags, classifies, and organizes your real estate images.

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