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Blitline

6
7
+ 1
0
Cloudinary

443
413
+ 1
176
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Blitline vs Cloudinary: What are the differences?

Developers describe Blitline as "Image processing in the cloud (cropping, rotating, compositing, filtering)". Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code. On the other hand, Cloudinary is detailed 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.

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

Some of the features offered by Blitline are:

  • Industrial Strength- If you are a website that needs to manipulate large numbers of photos, Blitline is your economical solution.
  • Convenient- If you are importing photos from an external service and need to crop, thumbnail, or process them, we are your answer.
  • Versatile- Screenshots, PDFs, animated GIFs, obscure image formats, we are your one stop shop for all of these.

On the other hand, Cloudinary provides the following key features:

  • Upload images to a cloud-based storage
  • Upload video to cloud-based storage
  • Automatic backup and revision tracking
Pros of Blitline
Pros of Cloudinary
    Be the first to leave a pro
    • 36
      Easy setup
    • 30
      Fast image delivery
    • 26
      Vast array of image manipulation capabilities
    • 20
      Free tier
    • 11
      Heroku add-on
    • 9
      Reduce development costs
    • 7
      Amazing support
    • 6
      Virtually limitless scale
    • 6
      Great libraries for all languages
    • 6
      Heroku plugin
    • 5
      Easy to integrate with Rails
    • 4
      Cheap
    • 3
      Shot setup time
    • 3
      Very easy setup
    • 2
      Solves alot of image problems.
    • 1
      Best in the market and includes free plan
    • 1
      Extremely generous free pricing tier
    • 0
      Fast image delivery, vast array

    Sign up to add or upvote prosMake informed product decisions

    Cons of Blitline
    Cons of Cloudinary
      Be the first to leave a con
      • 2
        Paid plan is expensive

      Sign up to add or upvote consMake informed product decisions

      What is Blitline?

      Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code.

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Blitline?
      What companies use Cloudinary?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Blitline?
      What tools integrate with Cloudinary?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Blitline and Cloudinary?
      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.
      FFMPEG
      The universal multimedia toolkit.
      imgix
      imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
      scikit-image
      scikit-image is a collection of algorithms for image processing.
      ImageMagick
      It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG.
      See all alternatives
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