Amazon Rekognition vs Google Cloud Vision API vs Tesseract OCR

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Amazon Rekognition

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Google Cloud Vision API

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Tesseract OCR

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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.
Decisions about Amazon Rekognition, Google Cloud Vision API, and Tesseract OCR
Vladyslav Holubiev
Sr. Directory of Technology at Shelf · | 1 upvote · 47.3K 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.

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Pros of Amazon Rekognition
Pros of Google Cloud Vision API
Pros of Tesseract OCR
  • 4
    Integrate easily with AWS
  • 9
    Image Recognition
  • 7
    Built by Google
  • 5
    Building training set is easy
  • 2
    Very lightweight library

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Cons of Amazon Rekognition
Cons of Google Cloud Vision API
Cons of Tesseract OCR
  • 1
    Be the first to leave a con
    • 1
      Works best with white background and black text

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    - No public GitHub repository available -
    - 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 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.

    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 Google Cloud Vision API?
    What companies use Tesseract OCR?

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    What tools integrate with Amazon Rekognition?
    What tools integrate with Google Cloud Vision API?
    What tools integrate with Tesseract OCR?
      No integrations found
      What are some alternatives to Amazon Rekognition, Google Cloud Vision API, and Tesseract OCR?
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      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.
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      Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
      GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
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