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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 · 46.6K 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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Learn MorePros of Amazon Rekognition
Pros of Google Cloud Vision API
Pros of Tesseract OCR
Pros of Amazon Rekognition
- Integrate easily with AWS4
Pros of Google Cloud Vision API
- Image Recognition9
- Built by Google7
Pros of Tesseract OCR
- Building training set is easy5
- Very lightweight library2
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Cons of Amazon Rekognition
Cons of Google Cloud Vision API
Cons of Tesseract OCR
Cons of Amazon Rekognition
- AWS1
Cons of Google Cloud Vision API
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Cons of Tesseract OCR
- Works best with white background and black text1
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- No public GitHub repository available -
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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 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?
What companies use Amazon Rekognition?
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?
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?
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.
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.
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.
ZXing
It is a barcode scanning library for Java, Android. Decode a 1D or 2D barcode from an image on the web.