Closed eyes
Borrow open eyes from another frame while keeping the same pose, clothes, and light.
AI group photo repair
AI best take for group photos
Upload 2 to 3 similar shots. SnapMerge builds one natural photo with better expressions.
Create your best take
Drop in near-matching frames. SnapMerge compares each person's real expressions and returns one believable keeper.
Use 2 to 3 photos from the same moment. Each file can be up to 6 MB.
Upload source photos
Source 1
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Source 2
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Source 3
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Built for burst shots, family portraits, travel groups, and event albums.
Final faces come from your own source pixels, not generated portraits.
Built for burst shots, family portraits, travel groups, and event albums.
Final faces come from your own source pixels, not generated portraits.
People and background outside the selected face stay on the chosen source frame.
The closer the source shots, the better the final photo.
SnapMerge is designed for moments where the camera angle, lighting, and people stay mostly aligned.
Turned faces
Replace one distracted expression without changing the people who already looked good.
Mixed expressions
Choose a different real source face for each person without redrawing the whole group.
A narrow workflow on purpose
The product works best when it does one job carefully: compare similar photos and produce one realistic final image.
Choose near matches
Pick burst shots or photos taken seconds apart from the same camera position.
Merge useful face details
SnapMerge chooses each person's strongest real face and expression from the uploaded source frames.
Review the keeper
Open the result, check high-detail areas, then download the final image when it looks right.
Good inputs look boringly similar.
That is the trick. Similar framing lets SnapMerge align real source pixels without rebuilding the photo.
Same angle
Keep the phone height, lens, and group position close across every source photo.
Same people
Avoid mixing photos where someone leaves, changes position, or blocks another face.
Same light
Photos from the same minute usually have matching shadows, color, and exposure.
Small changes
Blinks, smiles, and slight head turns are ideal. Large pose changes are harder to merge cleanly.
Where it earns its place
Use SnapMerge for the everyday photo problems that usually make people choose the least bad shot.
Family portraits
Fix one blink without losing the relaxed expression everyone else already had.
Travel groups
Recover the keeper from landmark photos where one person looked away.
Events
Clean up reception, party, and team photos before they go into a shared album.
School and team photos
Create one stronger frame from a short set of similar group shots.
What a good result should preserve
The final image should still feel like your original photo, just with a better shared expression.
Same identities
Age, face shape, hair, clothing, and body shape should remain consistent.
Same scene
Lighting, lens feel, background, and group spacing should still match the source photos.
Natural faces
The best result is believable, not over-polished or changed into a new portrait.
Manual review
Before sharing, inspect eyes, glasses, teeth, hands, hair edges, and overlapping shoulders.
Photo handling
Source photos are uploaded directly to private temporary storage, read into server memory for Best Take processing, and deleted after the attempt. A scheduled cleanup removes abandoned uploads. The merged result is stored temporarily behind a signed URL. Do not upload private IDs, sensitive documents, or photos you do not have permission to process.
AI best take FAQ
How many photos should I upload?
Upload 2 to 3 similar photos from the same camera angle and scene. SnapMerge limits the first version to 3 for cleaner results.
Can SnapMerge fix closed eyes?
Yes. When another source frame has the same person with open eyes or a better expression, SnapMerge can align and blend that complete real source face into the selected layout.
Does this change who people are?
SnapMerge does not generate a new face. It transfers pixels from one of your uploaded frames and leaves clothing, bodies, hands, background, and already-good people on the selected layout frame.
Why do similar photos work better?
Local face alignment works best when the camera angle, pose, lighting, and background are close. Burst photos and near-identical group shots are ideal.
Does SnapMerge invent smiles or teeth?
No. A selected expression, including its eyes, cheeks, mouth, and visible teeth, comes from one real uploaded frame.
What if my photos are too different?
Try a tighter set of source images. SnapMerge skips face transfers when the detected scale or angle difference is too large for a reliable alignment.