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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Kraken.io vs Tesseract OCR

Kraken.io vs Tesseract OCR

OverviewDecisionsComparisonAlternatives

Overview

Kraken.io
Kraken.io
Stacks16
Followers54
Votes7
Tesseract OCR
Tesseract OCR
Stacks96
Followers286
Votes7
GitHub Stars70.7K
Forks10.4K

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.

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Advice on Kraken.io, Tesseract OCR

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

Kraken.io
Kraken.io
Tesseract OCR
Tesseract OCR

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.

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.

Developer-Friendly API;WordPress Plugin;Dedicated Infrastructure;First Class Compression;S3, CloudFiles and Azure;Lossy Optimization Options;Image Resizing;;Free Web Interface;Great User Support
-
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
10.4K
Stacks
16
Stacks
96
Followers
54
Followers
286
Votes
7
Votes
7
Pros & Cons
Pros
  • 6
    Free
  • 1
    Magento plugin
Pros
  • 5
    Building training set is easy
  • 2
    Very lightweight library
Cons
  • 1
    Works best with white background and black text
Integrations
Magento
Magento
WordPress
WordPress
HubSpot
HubSpot
GoDaddy
GoDaddy
No integrations available

What are some alternatives to Kraken.io, Tesseract OCR?

Cloudinary

Cloudinary

Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix

imgix

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

OpenCV

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.

ImageKit

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Google Cloud Vision API

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.

Cloudimage

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image

scikit-image is a collection of algorithms for image processing.

ImageEngine

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

FFMPEG

The universal multimedia toolkit.

Amazon Rekognition

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.

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