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Kraken.io

16
53
+ 1
7
Tesseract OCR

95
283
+ 1
7
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Kraken.io vs Tesseract OCR: What are the differences?

Introduction:

Here we will discuss the key differences between Kraken.io and Tesseract OCR.

  1. Pricing: Kraken.io is a cloud-based image optimization and compression tool that offers different pricing plans based on the number of images processed per month. In contrast, Tesseract OCR is an open-source optical character recognition engine that is free to use.

  2. Functionality: Kraken.io primarily focuses on image optimization and compression, offering features like lossless and lossy compression, resizing, and format conversion. On the other hand, Tesseract OCR is specifically designed for extracting text from scanned documents and images, providing accurate text recognition capabilities.

  3. Supported Formats: Kraken.io supports a wide range of image formats, including JPEG, PNG, GIF, and WebP. It also supports PDF compression. In contrast, Tesseract OCR supports input files in various formats such as TIFF, GIF, JPEG, PNG, PNM, etc., and outputs recognized text in plain text, hOCR, or searchable PDF formats.

  4. Image Processing Options: Kraken.io offers a variety of image processing options, including resizing, cropping, rotating, and adding watermarks. It also provides the ability to optimize images for performance on the web. Tesseract OCR, being primarily focused on text extraction, does not offer these image processing options.

  5. Accuracy: While Kraken.io ensures high-quality image compression with minimal loss of visual quality, Tesseract OCR is known for its accurate text recognition capabilities. Tesseract OCR has been widely used in various industries for extracting text from scanned documents and images with a high degree of accuracy.

  6. Integration and API Support: Kraken.io provides a RESTful API to integrate its image optimization and compression capabilities into custom applications and workflows. It also offers plugins and extensions for popular content management systems (CMSs) like WordPress. On the other hand, Tesseract OCR also provides extensive API support and can be integrated into custom applications for text recognition purposes.

In Summary, Kraken.io focuses on image optimization and compression, offering various features and formats, while Tesseract OCR is specifically designed for accurate text recognition from scanned documents and images.

Decisions about Kraken.io and Tesseract OCR
Vladyslav Holubiev
Sr. Directory of Technology at Shelf · | 1 upvote · 50K 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 Kraken.io
Pros of Tesseract OCR
  • 6
    Free
  • 1
    Magento plugin
  • 5
    Building training set is easy
  • 2
    Very lightweight library

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Cons of Kraken.io
Cons of Tesseract OCR
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    • 1
      Works best with white background and black text

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    - No public GitHub repository available -

    What is Kraken.io?

    It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its 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 Kraken.io?
    What companies use Tesseract OCR?
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    What tools integrate with Kraken.io?
    What tools integrate with Tesseract OCR?
      No integrations found

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