What if the photo has multiple people and one of them is much more damaged than the others?

A single restoration pass restores all faces and areas simultaneously. If one person's face is much more damaged (for example, water spotted, scratched or faded) and the result is not as sharp as you'd like, run a second pass on the result, or use the base <a href="/model/openai-gpt-image-2-edit">OpenAI GPT Image 2 Edit</a> model with a custom prompt that asks specifically for that face area to be reconstructed. For extreme cases where one face is almost entirely missing, the AI will produce a plausible but not necessarily accurate reconstruction — disclose AI use in the final deliverable when accuracy of identity matters.

AI Photo Restoration

Restore old, faded or damaged photos with AI. Removes scratches, dust, color fading and blur while reconstructing missing detail — bring family albums and archival shots back to life.

Input

Original

Output

Generated

Upload your image and transform it in seconds

12,000+ images created this month

📄 About AI Photo Restoration

The AI Photo Restoration tool brings old, damaged and faded photographs back to life automatically. Upload a scan of a vintage family photo, a creased childhood print, a torn portrait or a yellowed wedding picture and the AI repairs scratches, dust, creases, tears, stains, color fading, blur, noise and JPEG artefacts in a single pass — no Photoshop, no retouching skills, no waiting days for a restoration studio to email you back. This is the modern AI version of professional photo restoration services that used to cost tens to hundreds of dollars per print and take days or weeks of manual work. With AI photo restoration, you get a high-fidelity reconstructed version of the same photograph in roughly 10 to 25 seconds, with damage repaired, fine detail recovered and accurate skin tones, natural contrast and balanced color restored. The model preserves the period authenticity of the original photograph — it does not modernize, restyle, change clothing, alter faces or shift composition — so the restored image still looks like the photograph it always was, just well-preserved. The restoration is built on OpenAI's GPT Image 2 Edit model with a locked, pre-tuned restoration prompt that handles all the hard parts automatically: detecting damage across the print, reconstructing missing or torn areas using surrounding context, recovering facial features and fabric texture, removing yellowing and color fading, and producing a clean, sharp, photorealistic result as if the print had been scanned in perfect condition. Because the prompt is locked, you cannot accidentally trigger unwanted style changes — every generation is a focused restoration pass. The tool is the answer to common questions like 'how do I restore an old photo' or 'is there a free online old photo restoration that actually works.' Drag in any scan of a damaged photograph — JPEG, PNG or WebP — and the AI returns a restored version you can download, print and share. Family historians can rescue photographs from albums, archives and shoeboxes. Genealogists can prepare ancestor portraits for family trees. Memorial designers can restore photos for funeral and tribute use. Museums and small archives can clean up images for catalog publication. Anyone with a phone snap of a great-grandparent can suddenly see their face clearly. Results come back at the original aspect ratio and a sharper-than-source resolution thanks to the model's denoising and detail-recovery pass. You can re-run the same photo if the first pass missed an area, increase quality for the most damaged prints, or batch multiple photos through the tool to clean up a whole album. All paid generations include full commercial usage rights, so memorial designers, genealogy services, archives and content publishers can use the restored images professionally without any licensing concerns.

✨ Key Features

One-click restoration of scratches, dust, creases, tears, stains, color fading, yellowing, blur, noise and JPEG artefacts

Reconstructs missing and damaged areas naturally using surrounding context — torn corners, missing edges, water damage all repaired

Recovers fine detail including facial features, fabric texture, foliage, eyes and hair from blurry or low-detail prints

Restores accurate skin tones, natural contrast and balanced color without over-saturating or modernizing the photograph

Preserves the period authenticity of the original — does not stylize, modernize, change clothing, faces or composition

Works on black-and-white prints, sepia photographs, faded color photos, polaroid scans and damaged digital images

Locked, pre-tuned restoration prompt — no prompt engineering, just upload your scan and click generate

💡 Use Cases

⚡Family photo restoration — bring vintage prints, childhood photos, wedding albums and ancestor portraits back to clear, sharp condition

⚡Genealogy and family history projects requiring restored ancestor photographs for trees, archives and printed family books

⚡Memorial and tribute photography — restore old photos of loved ones for funerals, memorials, anniversaries and remembrance materials

⚡Small archives, libraries and museums cleaning up damaged historical photographs for catalog publication and digital exhibits

⚡Professional photo restoration services using AI to dramatically speed up first-pass restoration before manual touch-up

⚡Real-estate agents and historians restoring old property and architectural photographs for marketing and documentation

⚡Content creators, documentary makers and authors restoring archival photographs for books, films and historical content

🎯 Best For

🎯 Families with old photo albums, genealogists, memorial designers, archivists, professional restorers, documentary makers and anyone with damaged photographs that need to be rescued without manual Photoshop work

👍 Pros

✓Handles multiple damage types in a single pass — scratches, creases, fading, color shift, blur and noise all repaired together

✓Preserves period authenticity — restored photos still look like real photographs from their era, just well-preserved

✓Recovers fine detail in faces, hair, fabric and foliage that is barely visible in the damaged original

✓Costs a small fraction of professional restoration services that traditionally charge tens to hundreds of dollars per photograph

✓Returns results in roughly 10 to 25 seconds, dramatically faster than manual retouching

✓Full commercial usage rights on every paid generation, with no royalties or attribution required

⚠️ Considerations

△Severely damaged photos with very little surviving content may be reconstructed plausibly but not 100 percent accurately

△Heavy color cast and unusual film stocks can sometimes shift slightly during color rebalancing

△Faces that are extremely blurry or partially missing are reconstructed as plausible but may not exactly match the real person

△Low-resolution source scans limit the maximum sharpness of the restored output

📚 How to Use AI Photo Restoration

Scan or photograph your old print at the highest resolution available — phone scans work, but a flatbed scan at 300+ DPI gives the sharpest restoration

Upload the scan to the AI Photo Restoration tool — JPG, PNG and WebP all work

Pick output size — 'auto' preserves the original aspect ratio (recommended for restoration)

Pick quality — medium is fine for everyday family photos, high gives the sharpest results for heavily damaged or low-detail prints

Choose the number of variations if you want two or three slightly different restoration passes to compare

Click Generate and wait roughly 10 to 25 seconds. Download the restored image, then optionally re-run with higher quality if certain areas need more detail

💡 Pro Tips for AI Photo Restoration

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Scan at the highest DPI you have access to Phone photos of old prints work, but a flatbed scan at 300 to 600 DPI gives the AI dramatically more pixels and detail to work from. The difference is most visible on faces — eyes, eyebrows, fine hair strands and skin texture come back much sharper. For small prints like polaroids and wallet photos, prefer 600 DPI. For larger prints up to 8x10, 300 to 400 DPI is plenty. Avoid overly compressed JPEG exports from phone gallery apps — they bake compression artefacts into the source that the AI has to reconstruct around.

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Bump quality to high for the most damaged or low-detail photos Medium quality is fine for everyday family photos with light damage. For severely damaged prints, faded portraits and very low-resolution sources, switching to high quality lets the AI spend more compute on fine-detail reconstruction. The cost difference per photo is small and the result on heavily damaged prints is noticeably sharper. For routine batch restoration of a clean album where every print is in reasonable shape, medium is the right cost-to-quality balance.

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Run two passes for stubborn damage If the first restoration pass cleans up most damage but leaves a stubborn area (for example a deep crease across someone's face), download the result and upload it again as the new input. The second pass starts from an already-cleaner source and can focus its denoising and reconstruction on the remaining damage. This compounding strategy is genuinely effective on prints that were severely damaged. For pixel-level retouch of specific areas after AI restoration, you can finish in the base OpenAI GPT Image 2 Edit model with a custom prompt or your own mask.

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Pair restoration with the Smart Object Removal variant for graffiti and overlays If your old photo has someone's name, date or graffiti written on the print itself (in pen, marker or scratched into the surface), restoration alone may keep that mark since it is not damage in the structural sense. Run the Smart Object Removal variant first to delete the writing, then restore the cleaned photo. This two-step workflow gives you a far cleaner final result than trying to handle both in a single pass.

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Frequently Asked Questions

No. The locked restoration prompt specifically instructs the model not to stylize, modernize, change clothing, faces, identities, expressions or composition. The goal is a clean, sharp, photorealistic version of the same photograph as if scanned from a perfectly preserved original print — not a re-imagining of it. If you ever see a face change noticeably, that usually means the original was so damaged that the AI had to plausibly reconstruct features. In those cases, providing the highest-resolution scan you can and bumping quality to high gives the strongest identity preservation.

Scratches, dust, creases, tears, stains, color fading, yellowing, blur, noise and JPEG artefacts are all handled in a single pass. Torn corners, missing edges and water damage are reconstructed naturally from surrounding context. Severely damaged areas where the original information is completely missing are reconstructed as plausibly as possible from the rest of the photo. For very large missing areas (more than 30 percent of the photo gone), expect a plausible reconstruction rather than a perfect one.

Phone photos work and produce dramatic improvements, but the restored output is only as sharp as the source allows. For the best results, scan the original print at 300 to 600 DPI on a flatbed scanner — this gives the AI more data to work with and yields a noticeably sharper restoration. For old polaroids and small prints, scanning at 600 DPI is recommended.

Both. The model handles black-and-white prints, sepia photographs, faded color photos, polaroid scans and damaged digital images. For color photos, it specifically rebalances color casts, restores accurate skin tones and removes yellowing from aged prints. For black-and-white prints, it preserves the original monochrome characteristic while removing damage and recovering tonal detail.

Yes. All paid generations include full commercial usage rights with no extra fees, royalties or attribution required. You can use the restored images in family books, memorial materials, genealogy publications, documentary content, archives, marketing and professional restoration deliverables. The only legal consideration is ensuring you own or have the right to restore the original photograph — JAI Portal does not grant any license to the underlying historical content.

Professional manual restoration is still the gold standard for museum-grade work, irreplaceable archives and contested provenance, because a human retoucher can match historical detail with care and judgement that an AI cannot guarantee. For the other 95 percent of restoration jobs — family albums, memorial photos, genealogy projects, content publishing — AI restoration is dramatically faster (seconds vs days), dramatically cheaper (a few credits vs tens to hundreds of dollars), and the visual result is genuinely excellent. A reasonable workflow for professional restorers is to use AI for the heavy lifting and then finish problematic areas by hand, which lets you take on more clients without sacrificing quality.

A single restoration pass restores all faces and areas simultaneously. If one person's face is much more damaged (for example, water spotted, scratched or faded) and the result is not as sharp as you'd like, run a second pass on the result, or use the base OpenAI GPT Image 2 Edit model with a custom prompt that asks specifically for that face area to be reconstructed. For extreme cases where one face is almost entirely missing, the AI will produce a plausible but not necessarily accurate reconstruction — disclose AI use in the final deliverable when accuracy of identity matters.

Yes. Each photo is its own generation, so you upload, generate, download and move to the next photo. There is no bulk uploader in the UI, but for very large batches (hundreds of photos) you can use the JAI Portal API to queue many restorations programmatically. The per-photo credit cost is small enough that restoring a whole album of 200 photos is dramatically cheaper than sending the album to a manual restoration service, and you get the results in minutes rather than weeks.

The model does denoising and detail recovery which gives the perceptual effect of higher resolution — eyes, hair, fabric texture and edges come back sharper than the source. Strictly speaking it is not an explicit upscaler that doubles or quadruples pixel count. If you need both restoration and explicit upscaling for printing at poster size, run AI Photo Restoration first, then pass the restored output through one of JAI Portal's dedicated upscaling models for a final 2x or 4x resolution increase. This two-step approach yields the highest-quality printable output from a damaged low-resolution source.

⚖️ How AI Photo Restoration Compares

AI Photo Restoration is a focused variant of OpenAI GPT Image 2 Edit with a locked restoration prompt that handles old, damaged and faded photographs in a single pass. Compared to traditional manual restoration by a professional retoucher (tens to hundreds of dollars per print, days of turnaround), this tool delivers comparable visual quality on the vast majority of typical family-album damage in roughly 10 to 25 seconds at a small fraction of the cost. Compared to generic 'photo enhancer' filters that just sharpen and increase contrast, this is a true reconstruction model that repairs scratches, creases, tears, color fading and missing areas using context — not just a global sharpen. Compared to the base OpenAI GPT Image 2 Edit model with a custom restoration prompt, this variant locks in the optimal prompt server-side so you don't have to write or maintain it. For removing handwritten names, dates or graffiti from the print before restoring, pair this with the Smart Object Removal variant. For pixel-level finishing after AI restoration, the base model with your own prompt and mask gives surgical control. For an entire restoration workflow at scale, this variant is the right starting point because it ships ready-to-use and produces excellent results without configuration.