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Detects the face in a source image and crops the output to a standardized headshot frame around it. Useful for normalizing employee or member directories where source photos vary in aspect ratio and framing.

  • Source image — JPEG or PNG path in a document account
  • Output path — destination for the cropped result
  • Target aspect ratio — e.g., 1:1 (square), 4:5 (portrait)
  • Headroom — how much space to leave above the head (proportion of frame)

A cropped image at the target dimensions centered on the detected face. If no face is detected, the step either falls back to center-crop or errors depending on configuration.

  • Standardizing employee directory photos
  • Generating consistent avatar imagery for an internal portal
  • Trimming photos for ID badges and credentials
  • Face detection works best on well-lit, front-facing portraits. Heavily-cropped, side-angle, or low-resolution sources may not detect cleanly.
  • The step doesn’t enhance image quality — output resolution can be at most the input resolution.