Resize and compress product photos for an online store
Shrinks large product photos from your Apify key-value store, your uploaded files or direct image links to at most 1600 x 1600 pixels, converts them to WebP and removes camera metadata, so that shop pages load faster. Images are never enlarged and keep their aspect ratio. Each row shows how many bytes were saved. Run it as it is to try three built-in samples, then choose your own images.
Input
Output fields
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The Image Converter & Compressor - WebP, AVIF, strip EXIF/GPS Actor is ready to run with the inputs already set for "Resize and compress product photos for an online store". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Resize and compress product photos for an online store" task
The Image Converter & Compressor - WebP, AVIF, strip EXIF/GPS Actor will start running based on the input automatically. You can also change all the input fields, like output format, quality, and more, to match your specific use case.
Receive the "Resize and compress product photos for an online store" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, input key, link number, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Resize and compress product photos for an online store" task via API.
Integrate "Resize and compress product photos for an online store" into your workflow
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Set the maximum width and height to the largest size your shop theme displays. The product photo task uses 1600 x 1600 as an example: larger photos are shrunk to fit, smaller ones keep their size.
Yes. Set the output format to JPEG in the product photo task; the resizing and metadata removal work the same way.
The product photo task saves each photo in the run's key-value store, and each dataset row has its download link. You can export the rows as CSV or JSON from the run.