Photo guides and processing examples

Choose your task

• Prepare an old photo for restoration

  Scanning, photographing without glare, cropping and checking facial likeness.

• Animate a photo step by step

  Choose a portrait, set the video parameters, check the cost and download the result.

• Portrait restoration: before and after

  One real FotoLab run on a synthetic input, with settings, credit cost and visible limitations.

• Restoring a damaged print: what disappeared and what changed

  An analysis of a published portrait example: cracks disappear, while the border, framing and small details change. Compare both files.

• Black-and-white family photo restoration: check every face

  A group-photo example analysis: paper damage is removed and monochrome retained, while faces, hands and the caption need comparison with the source.

• Family photo colorization: color appears, cracks remain

  A published before-and-after colorization pair. Clothing and background colors are inferred; paper damage remains in this result.

• How we check and describe results

  Source provenance, comparison criteria and limitations.

Before you start

Keep an unchanged copy of the source. AI can invent details where the original has lost information. Check faces, lettering, clothing and backgrounds before printing or sharing.

AI processing uses credits; the form shows the cost before launch. For simple cropping, resizing or format conversion, use the free tools that process photos on your device. Open free photo tools.