Restored in original sepia
Damage removed and detail recovered, with the original warm tonality left intact. The safest choice when the family remembers the photo the way it has always looked.
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AI Old Photo Restoration: Repair, Colourise and Animate a Family Photo
Most family photographs worth keeping are also the ones in the worst condition — cracked, faded or creased. Upload one and OpenFilmo repairs it, then gives it motion.
60 secScan in, restored clip out
9:16 · 1:1 · 16:9Every ratio, one project
ZeroEditing skills needed
Restoration is not the same job as styling. A style effect is allowed to invent; a restoration has to recover what is already there and stop. Faces have to stay the faces of the people in the photograph, including the details the family remembers.
The damage being repaired is usually predictable: creases across the centre, silvering at the edges, fading in the highlights and dust throughout. Working from the highest-resolution scan available is the single biggest factor in how much comes back.
How to restore and animate an old photo
Three steps, and the quality of your scan matters more than any setting.
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Scan at the highest resolution you can
A flatbed scan at 600 dpi or higher preserves the detail the repair has to work with. A phone snapshot of a photo in a frame will lose most of it to glare and angle.
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Choose repair, colourise, or both
Keep the original sepia tonality, or colourise into period-correct muted tones. Cracks, creases and dust are handled either way.
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Add motion, then export
A subtle push-in or a gentle animation of the subject gives the restored frame a reason to be a video. Export vertical for Reels, TikTok and Shorts.
Restoration directions
Three treatments for different kinds of photograph, from studio portraits to group shots.
Colourised
Muted, period-correct colour rather than modern saturation. Colour tends to make a face feel closer to the present, which is why it performs well in feed.
Group photographs
Group shots are the hardest to restore, because every face has to hold. Best results come from scans where no single face is smaller than roughly a thumbnail.
Why restore on OpenFilmo
A restoration is only finished when the family recognises the people in it.
The people stay the people
Facial features, expressions and the details relatives remember are preserved through the repair. The output should be recognisable to someone who knew them.
Vertical first, every ratio
9:16 for TikTok, Reels and Shorts, 1:1 for feed, 16:9 for YouTube — exported from one project without re-cropping.
Captions and voiceover included
Add names, dates or a line of family context as burned-in subtitles, and narrate it in your audience's language. Restored photos carry a story that needs telling.
Batch a whole album
Run several photographs from the same box through the same pipeline, so a set of restorations comes out consistent instead of matched by hand.
Frequently asked questions
What is the best way to prepare an old photo?
Flatbed-scan it at 600 dpi or higher. A phone photo of a framed print introduces glare, perspective distortion and lost detail, all of which limit how much the repair can recover.
Can it repair creases, cracks and fading?
Yes. Creases, cracks, dust and fading are the damage types the restoration is built for. The result depends heavily on scan quality — more usable input detail means more of the original comes back.
Will it change the faces of the people in the photo?
No. Restoring is not restyling. The features, expressions and proportions of the people in the photograph are preserved, and the work is limited to repair, tonal recovery and optional colourisation.
Can I keep the original sepia look?
Yes. Repair and colourisation are separate choices, so you can keep the original warm tonality and still have the damage removed.
Do I need editing experience?
No. You upload the scan, choose the treatment, and download the restored file — as a still image or as a short animated clip.
Restore your family photo now
One scan in, a repaired and animated clip out. Free to try — no card required.