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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Cloudinary vs Crunch PNG

Cloudinary vs Crunch PNG

OverviewComparisonAlternatives

Overview

Cloudinary
Cloudinary
Stacks634
Followers594
Votes179
Crunch PNG
Crunch PNG
Stacks1
Followers6
Votes0
GitHub Stars3.4K
Forks146

Cloudinary vs Crunch PNG: What are the differences?

Developers describe Cloudinary as "An end-to-end image & video management solution for your web and mobile applications". Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery. On the other hand, Crunch PNG is detailed as "Insane PNG image optimization". Crunch is a tool for lossy PNG image file optimization. It combines selective bit depth, color type, and color palette reduction with zopfli DEFLATE compression algorithm encoding using the pngquant and zopflipng PNG optimization tools.

Cloudinary and Crunch PNG can be primarily classified as "Image Processing and Management" tools.

Crunch PNG is an open source tool with 2.73K GitHub stars and 94 GitHub forks. Here's a link to Crunch PNG's open source repository on GitHub.

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Detailed Comparison

Cloudinary
Cloudinary
Crunch PNG
Crunch PNG

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

Crunch is a tool for lossy PNG image file optimization. It combines selective bit depth, color type, and color palette reduction with zopfli DEFLATE compression algorithm encoding using the pngquant and zopflipng PNG optimization tools.

Upload images to a cloud-based storage; Upload video to cloud-based storage; Automatic backup and revision tracking; Many image manipulation capabilities & effects; Smart resizing & face detection based thumbnails; Handling PDFs, sprites, watermarks, social profile pictures; Fast CDN delivery with advanced caching; Automatic image optimization; Powerful dashboard, media library and reports; RESTful APIs, intuitive URL based transformations; Image metadata and semantic data extraction; Integration SDKs for web & mobile frameworks; Custom domain (CNAME) support; Authenticated URLs; On-the-fly Video transcoding ; On-the-fly Video overlays;
-
Statistics
GitHub Stars
-
GitHub Stars
3.4K
GitHub Forks
-
GitHub Forks
146
Stacks
634
Stacks
1
Followers
594
Followers
6
Votes
179
Votes
0
Pros & Cons
Pros
  • 37
    Easy setup
  • 31
    Fast image delivery
  • 26
    Vast array of image manipulation capabilities
  • 21
    Free tier
  • 11
    Heroku add-on
Cons
  • 5
    Paid plan is expensive
No community feedback yet
Integrations
Microsoft Azure
Microsoft Azure
AppHarbor
AppHarbor
Heroku
Heroku
Node.js
Node.js
Django
Django
WordPress
WordPress
Google App Engine
Google App Engine
Ruby
Ruby
Python
Python
Java
Java
No integrations available

What are some alternatives to Cloudinary, Crunch PNG?

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.

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.

Kraken.io

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.

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.

GStreamer

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

GraphicsMagick

GraphicsMagick

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

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