Crop

Learn how to crop images using AutoRender crop modes, positions, and position strategies

Overview

AutoRender provides powerful cropping capabilities that allow you to extract specific regions from images, control how images fit target dimensions, and use intelligent positioning to find the best crop area. Cropping is essential when you need exact dimensions or want to focus on specific parts of an image.

Crop Modes - (c)

AutoRender supports multiple crop modes that control how images are resized and cropped to fit target dimensions. Each mode has different behavior regarding aspect ratio preservation and content visibility.

The c_ parameter determines how the image should be resized and cropped to fit the target dimensions specified by w_ and h_.

Original image

https://assets.autorender.io/LOKVTtKVGb/doc1/ar-juice.jpg

Crop (c_crop)

Crops the image to exact dimensions, centering the crop area by default.

https://assets.autorender.io/LOKVTtKVGb/w_360,h_360,c_crop/doc1/ar-juice.jpg

Fill (c_fill)

Resizes the image to cover the entire target area, cropping if necessary.

https://assets.autorender.io/LOKVTtKVGb/w_360,h_360,c_fill/doc1/ar-juice.jpg

Fit (c_fit)

Resizes the image to fit within the target area, preserving the entire image.

https://assets.autorender.io/LOKVTtKVGb/w_360,h_360,c_fit/doc1/ar-juice.jpg

Crop Position - (p)

Control where the crop area is positioned. Position determines which part of the image is included in the final output.

Position Code	Description
p_c	Center
p_t	Top center
p_b	Bottom center
p_tl	Top-left
p_tr	Top-right
p_bl	Bottom-left
p_br	Bottom-right

Position Top (p_t)

https://assets.autorender.io/LOKVTtKVGb/w_360,h_360,c_crop,p_t/doc1/ar-juice.jpg

Position Bottom (p_b)

https://assets.autorender.io/LOKVTtKVGb/w_360,h_360,c_crop,p_b/doc1/ar-juice.jpg

Advanced Position Strategies

AutoRender supports intelligent position detection that automatically finds the focal point based on image content analysis.

Strategy	Description
p_entropy	Centers on the most information-rich area
p_attention	Centers on the area that draws the most attention

Position strategies (p_entropy, p_attention) use advanced image analysis algorithms. These are particularly useful when you need to generate focus-aware thumbnails automatically.

Face Detection Cropping - (fo_face)

AutoRender can automatically detect and focus on faces within an image. This is ideal for creating consistent avatars, social media profiles, or portrait-focused content.

Original

https://assets.autorender.io/LOKVTtKVGb/doc1/face-crop.jpg

Face Detection (fo_face)

https://assets.autorender.io/LOKVTtKVGb/fo_face/doc1/face-crop.jpg

Object Detection Cropping - (fo_<object>)

AutoRender allows for highly specific focus-aware cropping by centering on specific objects within an image. This is powered by advanced detection models that recognize common categories.

Object detection (fo_<object>) supports standard YOLO model classes (e.g., car, dog, person, cat).

Original

https://assets.autorender.io/LOKVTtKVGb/doc1/blackporsche.jpg

Object Detection (fo_car)

https://assets.autorender.io/LOKVTtKVGb/fo_car,w_600/doc1/blackporsche.jpg