Should you use AI to enhance a missing-person photo?

A sharper-looking image is not always a more faithful one. An AI enhancement tool may generate plausible detail that was not visible in the original. For a missing-person appeal, that matters because the purpose is recognition, not producing an attractive portrait.

Protect the factual image

Keep the original unchanged. If a copy is adjusted for brightness or cropped for layout, document the change and check that it still represents the person accurately. Avoid face reshaping, beautification, background storytelling, or generated clothing presented as real.

If a professional asks for a processed version, provide the source as well and label the processed file clearly. Do not replace the only available original with the output.

Distinguish reconstruction from photography

A generated age progression or reconstruction is an interpretation. It should never be described as a recent photograph or proof of what the person currently looks like. Follow the guidance of the responsible authority about whether such material belongs in an appeal.

• Is the source image still available?
• Could the change affect recognition?
• Can a reader tell that the image was processed?
• Is the processed version needed at all?

Improve presentation without inventing evidence

Use a clean layout, readable text, and enough space around the photograph. These changes can improve a poster while leaving the person's appearance intact.

For photo-based search, use an authorized, faithful image and interpret results as leads. A visually impressive enhancement does not turn a possible match into confirmed identity.