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Crop images from the URL with the c_ parameter. Crop modes decide how the image fits the target dimensions set by w_ and h_, and positioning tokens decide which part of the image survives the crop.
Crop modes act on the target box defined by w_ and h_. Face and object detection (fo_) find the focal point automatically, so you get consistent thumbnails without picking coordinates by hand.

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How does it work?

You add a crop mode to the transform segment alongside w_ and h_. Each mode handles the aspect-ratio difference between the source and the target box differently:
  • c_crop — cuts the image to the exact dimensions, centering the crop area.
  • c_fill — scales the image to cover the whole box, cropping the overflow.
  • c_fit — scales the image to fit inside the box, keeping the entire image.
Original image
The examples above crop to 360×360 px (w_360,h_360).

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How to position the crop?

Add p_ to choose which region of the image the crop keeps. The default is center.
Top crop

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How to crop by content?

Autorender can pick the focal point from the image itself instead of a fixed position. Use these when the subject moves around the frame across a catalog of images.
p_entropy and p_attention analyze image content at request time, which makes them useful for generating focus-aware thumbnails automatically.

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Face detection (fo_face)

fo_face detects faces and centers the crop on them — ideal for avatars, profile images, and portrait thumbnails.
Original face image

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Object detection (fo_<object>)

fo_<object> centers the crop on a named object, for example fo_car. Object detection recognizes the standard YOLO model classes such as car, dog, person, and cat.
Original car image

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Next steps

Resize and aspect ratio

Set the w_, h_, and ar_ values the crop fits into.

Zoom

Magnify a region before cropping to tighten the focus.

Border radius

Round a face crop into a circular avatar.

Recipes

Save crop combinations as reusable t_ tokens.