Software Quality Analyst at a retailer with 201-500 employees
Real User
Top 20
Oct 14, 2026
My main use case for ImageKit is for images and video rendering on my site. We use ImageKit as an intermediate version for images and video rendering because if I directly upload the videos on Shopify, then on the front end, it takes time to load. We upload all our images and photos to ImageKit server and fetch them from their server.
My main use case for ImageKit is optimizing many images on my website, making content load faster. I love it because it simplifies image processing, doing the heavy lifting on the CDN. I didn't need to upload media to ImageKit's servers, saving me significant time, especially with over 30,000 images. ImageKit handles that volume for me by allowing me to build a custom URL instead of uploading all of our media to their servers. All the storage has stayed on my own storage, and it optimizes it. It optimizes purely off the URL on the edge, which is fantastic. It does a lot of heavy lifting for optimizing images and makes the process much simpler. ImageKit has also been very helpful in my organization, especially because it saves me a significant amount of time with my large number of images, as it optimizes them efficiently without needing prior legwork. The setup was extremely easy as everything was done on their website with just creating a URL that mirrors my own, and ImageKit does all the work for me. Regarding my main use case, ImageKit helps us solve the performance and media management challenges in my organization. Instead of building our own image optimization pipeline, we rely heavily on ImageKit to automatically optimize images, deliver them via CDN, and transform them on demand. This has greatly improved page load times, reduces infrastructure complexity, and lets our team focus more on building product features rather than managing media delivery.
One of our subsidiaries, OLX Indonesia, works with ImageKit as an integration for video and image compression. When a user uploads a car image to our server, ImageKit compresses it and integrates it with our CDN system. A specific example of how this works in practice is that from the user's standpoint, if a customer uploads an image to sell their used car, the image will be connected with our CDN. If the image exceeds our threshold size, ImageKit will compress it, which reduces our memory usage. If the image size is compressed, from the user's standpoint, they can also load the image faster. This is how we are utilizing ImageKit.
I use ImageKit for purposes similar to Cloudinary, including storage of images, CDN, and features where you can retouch, remove the background, and upscale an image. When we upload products for e-commerce, the product images are rendered and stored in ImageKit, and they are rendered through CDN for faster optimization and delivery of the images. Since many products usually take a large chunk of bandwidth, the images are compressed, similar to what Cloudinary does, and delivered in an optimized way.
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My main use case for ImageKit is for images and video rendering on my site. We use ImageKit as an intermediate version for images and video rendering because if I directly upload the videos on Shopify, then on the front end, it takes time to load. We upload all our images and photos to ImageKit server and fetch them from their server.
My main use case for ImageKit is optimizing many images on my website, making content load faster. I love it because it simplifies image processing, doing the heavy lifting on the CDN. I didn't need to upload media to ImageKit's servers, saving me significant time, especially with over 30,000 images. ImageKit handles that volume for me by allowing me to build a custom URL instead of uploading all of our media to their servers. All the storage has stayed on my own storage, and it optimizes it. It optimizes purely off the URL on the edge, which is fantastic. It does a lot of heavy lifting for optimizing images and makes the process much simpler. ImageKit has also been very helpful in my organization, especially because it saves me a significant amount of time with my large number of images, as it optimizes them efficiently without needing prior legwork. The setup was extremely easy as everything was done on their website with just creating a URL that mirrors my own, and ImageKit does all the work for me. Regarding my main use case, ImageKit helps us solve the performance and media management challenges in my organization. Instead of building our own image optimization pipeline, we rely heavily on ImageKit to automatically optimize images, deliver them via CDN, and transform them on demand. This has greatly improved page load times, reduces infrastructure complexity, and lets our team focus more on building product features rather than managing media delivery.
One of our subsidiaries, OLX Indonesia, works with ImageKit as an integration for video and image compression. When a user uploads a car image to our server, ImageKit compresses it and integrates it with our CDN system. A specific example of how this works in practice is that from the user's standpoint, if a customer uploads an image to sell their used car, the image will be connected with our CDN. If the image exceeds our threshold size, ImageKit will compress it, which reduces our memory usage. If the image size is compressed, from the user's standpoint, they can also load the image faster. This is how we are utilizing ImageKit.
I use ImageKit for purposes similar to Cloudinary, including storage of images, CDN, and features where you can retouch, remove the background, and upscale an image. When we upload products for e-commerce, the product images are rendered and stored in ImageKit, and they are rendered through CDN for faster optimization and delivery of the images. Since many products usually take a large chunk of bandwidth, the images are compressed, similar to what Cloudinary does, and delivered in an optimized way.