Your parents' wedding album is fading, torn, and stained. Here's the complete workflow for restoring wedding photos with AI — from scanning to the final framed print.
Your parents' wedding album from 1972 has been in a box in the attic for 30 years. The prints are faded to sepia, the corners are torn, there's a water stain across the cake-cutting photo, and the group shot has a crease right through the groom's face. These are irreplaceable images — there's no negative, no digital original, no backup. If the photos degrade further, the memories are gone.
AI photo restoration can bring these photos back. But doing it right — especially for a wedding album with 50+ photos — requires a systematic approach. Here's the step-by-step workflow.
The scan is the foundation of everything that follows. A bad scan limits what restoration can achieve. Guidelines: scan at 600 DPI minimum (1200 DPI for small prints like wallet-sized photos), save as TIFF or PNG (not JPEG — compression artifacts become permanent), use a flatbed scanner (not a phone photo of the print — perspective distortion and uneven lighting create problems that even AI can't fully fix), and clean the scanner glass before each session.
For prints that are stuck to album pages (common with magnetic photo albums from the 1970s-80s), don't peel them off. Scan them in place on the album page. The page background will need to be cropped or inpainted out, but that's easier than repairing a torn photo.
Not all damage needs the same treatment. Sort photos into categories: Light damage (fading, slight yellowing) — colorization and contrast adjustment; Medium damage (scratches, dust, minor tears at edges) — inpainting and scratch removal; Heavy damage (large tears, missing pieces, water stains across faces) — AI inpainting plus manual touch-up.
Process light damage photos first. They'll give you quick wins and help you learn the tools before tackling the heavily damaged ones. Wedding photos have the added challenge of white details — the dress, veil, flowers — that show every stain and color cast. Pay extra attention to white balance on these.
Process each photo in this order: Dust and scratch removal first — AI inpainting handles small spots automatically; Tear and crease repair second — select the damaged area and let AI reconstruct the missing pixels; Color correction third — fix fading, color casts, and contrast; Colorization fourth (if the photo is black and white and you want color) — run after all structural repairs are done; Upscaling last — increase resolution for printing after all edits are complete.
This order matters. Colorizing a photo with dust spots and tears bakes those defects into the color layer. Upscaling before fixing damage amplifies the damage. Always repair → correct → enhance.
View each restored photo at 100% zoom. Check: edges of the frame (where cropping might have cut off details), faces (especially eyes — AI sometimes makes them slightly asymmetrical), hands (AI is notoriously bad at fingers), and text (signs, dates, any writing in the photo — AI often turns text into gibberish).
For the final prints, use a photo lab (not a home inkjet) for archival-quality results. Matte or lustre paper hides minor restoration artifacts better than glossy. And make digital backups — store the restored TIFF files in at least two locations.
For restoring your wedding and family photos, use our AI photo restorer for damage repair and enhancement. For adding color to black and white wedding photos, our AI colorizer brings vintage images to life. And for enlarging small prints to display size, our image upscaler increases resolution.
Photo Restorer
Restore and colorize old, blurry, or damaged photos.
B&W Photo Colorizer
Bring black and white photos to life with natural, vibrant AI colorization.
Image Upscaler
Increase image resolution up to 4x with Real-ESRGAN AI upscaling. Dedicated Photo and Anime modes for different image types. Choose 2x or 4x upscaling factor. Enhances old photos, AI-generated images, and low-res pictures to HD quality without losing detail. Perfect for printing and digital displays.