Pricing

from $3.20 / 1,000 image enlargeds

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Image Upscaler 2x & 4x — Fast AI Super Resolution

Try for free

Enlarge images 2x or 4x with neural-network super resolution (FSRCNN): crisper than plain resizing, no GPU or API key needed. PNG, JPG or WebP output with a public link. $4 per 1,000 images.

Pricing

from $3.20 / 1,000 image enlargeds

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tidydata

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🔎 Image Upscaler 2x & 4x — super resolution for photos

Enlarge images 2x or 4x with neural-network super resolution: edges are rebuilt instead of just stretched, so the result is crisper than normal resizing. No GPU, no API key. Output PNG, JPG or WebP with a public link. $4 per 1,000 images.

✅ Fast neural model (FSRCNN) that runs on CPU: pennies per image
✅ Transparency (PNG/WebP alpha) is kept
✅ Direct links to JPG, PNG, WebP, HEIC images
✅ Input and output sizes reported for every image
✅ Good for old photos, small product pictures, thumbnails to print, game and web assets

How to use it

Paste direct image links.
Choose 2x or 4x and the output format.
Run and open the image links in the results.

Output example

{
  "url": "https://example.com/small.jpg",
  "imageUrl": "https://api.apify.com/v2/key-value-stores/…/records/0000-small-x2.png",
  "scale": 2, "model": "FSRCNN",
  "inputWidth": 640, "inputHeight": 480, "outputWidth": 1280, "outputHeight": 960
}

Pricing

$0.004 per image enlarged ($4 per 1,000). Images that fail are free.

Limits

Up to 6 megapixels per image. Larger images return a clear message.
This is a fast, light model: the gain is crisper edges, not miracles. For heavy restoration of very poor images, a GPU model will do more.
Super resolution adds plausible detail; it cannot recover text or faces that were never in the picture.

Credits

Model: FSRCNN (Saafke/FSRCNN_Tensorflow), Apache License 2.0, run with OpenCV.

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