Repair a digital copy of a faded, scratched, or damaged photograph. Choose whether to retain its black-and-white character or explore a naturally colorized version, then review the generated result beside your source.
AI may reconstruct missing details and infer colors. Keep your original scan as the historical record.
SourceRestored↔
Drag to compare an AI-generated restoration example. The people shown are fictional.
Four restoration modes
Black-and-white preservation
Optional colorization
Downloadable result
CHOOSE THE TREATMENT
Restore the photo without losing sight of the original
Photo restoration is not one universal edit. MagicCanvas offers separate treatments for general damage, grayscale photographs, and portraits so you can choose the direction that fits the image.
Color is optional.A black-and-white restoration can clean and clarify a portrait while preserving its monochrome character.
01
Repair and colorize
Reduce visible scratches and fading while adding restrained, natural-looking color to an old black-and-white photo.
02
Restore black and white
Improve clarity and reduce artifacts while keeping the original grayscale character of the photograph.
03
Restore a B&W portrait
Focus the restoration on facial structure, eyes, hair, and skin texture without turning the portrait into a modern beauty edit.
04
Repair and colorize a portrait
Restore damaged portrait details and add plausible color to skin, hair, clothing, and the surrounding scene.
The workflow is designed for one image at a time, making it easy to compare the generated version with the source before you save anything.
01
Scan or photograph the original
Start with the cleanest digital copy you can create. Capture the entire photograph, avoid glare, and keep the camera parallel if you are using a phone.
02
Choose a restoration mode
Decide whether the output should remain black and white, receive color, or give extra attention to portrait details.
03
Upload and generate
Open the restoration tool, upload the source, confirm the displayed credit cost, and let the selected AI treatment produce a new image.
04
Compare before downloading
Inspect faces, hands, clothing, text, background structures, and inferred color. Download the result only after checking for details that changed unexpectedly.
Another AI-generated example with fictional people. Restoration can clarify damage, but inferred details and color are interpretations.
WHAT IT CAN ADDRESS
Fading, scratches, softness, and incomplete detail
An AI photo restorer can reduce several kinds of visible deterioration in the same generated copy. Results depend on how much useful information remains in the source.
Surface damage
Reduce the appearance of dust, spots, fine scratches, small creases, and worn patches.
Faded contrast
Recover clearer separation between faces, clothing, objects, and the surrounding scene.
Soft details
Improve perceived sharpness around eyes, hair, fabric, and edges without relying on manual masks.
Missing information
Generate plausible detail in small damaged areas, with the understanding that reconstructed content may not be historically exact.
MEMORIES AND ARCHIVES
Ways to use an AI-restored photograph
Work on a copy, keep the original file untouched, and label generated restorations when historical accuracy matters.
Family archives
Prepare faded family photographs for digital albums, private sharing, or a new print while keeping the original scan stored separately.
Genealogy research
Make faces, clothing, signs, and background details easier to inspect when organizing a family history project.
Memorial projects
Create a clearer working copy of a meaningful portrait for a remembrance page, slideshow, or family tribute.
Historical storytelling
Improve the legibility of a scanned photograph before using it in a classroom project, local-history post, or documentary layout.
Creative keepsakes
Restore a copy before building a card, framed collage, anniversary book, or image-to-video memory project.
Black-and-white preservation
Clean up damage and improve definition without adding color when monochrome tone is part of the photograph’s identity.
BETTER INPUT, MORE INFORMED OUTPUT
Prepare the old photo before restoration
The model can work only with the information in the uploaded image. A careful scan helps separate real facial and scene details from dust, glare, compression, and camera blur.
Before uploading
Scan at high resolution when a scanner is available.
Remove dust from the scanner glass, not from a fragile print.
Capture the whole photograph, including damaged edges.
Avoid phone flash, reflections, perspective distortion, and filters.
Save an untouched master copy before making edits.
After restoration
Compare facial identity and expression with the source.
Inspect patterns, jewelry, fingers, signs, and architecture.
Treat color as an interpretation unless documented references exist.
Do not replace the archival master with the generated image.
Record that AI was used when sharing historical material.
Continue working with the restored image
Once you have reviewed the result, another MagicCanvas tool can enlarge it, isolate the subject, or turn the still photograph into motion.
AI photo restoration questions
What is AI photo restoration?
AI photo restoration analyzes a digital image and generates a repaired version. Depending on the selected mode, it can reduce visible scratches and noise, improve clarity, reconstruct damaged details, or add plausible color.
Can MagicCanvas restore torn or scratched photos?
It can reduce many visible scratches, creases, spots, and small damaged areas. Large missing regions may require the model to invent details, so compare the result with the original and keep an untouched scan.
Can I restore a photo without colorizing it?
Yes. Choose a black-and-white restoration mode to improve clarity and reduce damage while preserving grayscale tones.
Can AI restore faces in old portraits?
Portrait modes are designed to refine facial details, but they may reconstruct information that is unclear or missing. Treat the output as a generated interpretation rather than historical proof.
What file should I upload?
Use the clearest scan or photograph available. A high-resolution JPG, PNG, or WebP with even lighting gives the model more useful detail than a compressed screenshot.
Will the restored photo be historically accurate?
Not necessarily. Colors and missing details are inferred by AI and may not match the original scene. For archives and research, preserve the source scan and document that the restored version was AI-generated.
How should I scan an old photograph?
Place it flat, clean the scanner glass, scan at a high resolution, avoid automatic filters, and capture the full edges. If you use a phone, keep the camera parallel and avoid glare.
Can I use restored photos commercially?
Only if you have the rights and permissions needed for the source image and the people or material shown. Review the result and applicable terms before commercial use.
RESTORE A DIGITAL COPY
Bring important details back into view.
Upload one old photograph, choose how it should be treated, and compare the AI-generated result with the source.
SourceRestored
