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Blitline

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9
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Imagify

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Blitline vs Imagify: What are the differences?

What is Blitline? 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.

What is Imagify? A new way to optimize your images and have a faster website!. Speed up your website by reducing the size of your images without losing quality.

Blitline and Imagify can be categorized as "Image Processing and Management" tools.

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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 Imagify?

Speed up your website by reducing the size of your images without losing quality.

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What companies use Blitline?
What companies use Imagify?
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    What tools integrate with Blitline?
    What tools integrate with Imagify?
      No integrations found
      What are some alternatives to Blitline and Imagify?
      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.
      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.
      Pillow
      It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
      FFMPEG
      The universal multimedia toolkit.
      scikit-image
      scikit-image is a collection of algorithms for image processing.
      See all alternatives