Pinin vs AirBrush: AI Photo Restoration Compared (2026)

Take a scratched portrait with a missing cheek. For a model, that input maps to thousands of possible clean faces, and nothing in the pixels says which one stood in front of the camera. The CodeFormer authors (NeurIPS 2022) treat this as an ill-posed problem and expose a dial trading faithfulness against visual polish, because the two pull apart in practice. Pinin's team calls that hallucination: inventing details rather than reconstructing them. The practical constraint is that no model can rebuild a face missing from the print, so the pipeline needs a route to human restoration instead of a guess. The comparison that follows looks at how a restoration pipeline and a beautification pipeline treat the same damaged portrait.

A damaged family photograph restored by Pinin, with the original face left intact, and how AirBrush compares on the same job.

Summary: Pinin vs AirBrush for AI photo restoration

The short answer: Pinin suits anyone repairing old family photographs, where the job is fixing damage, reversing fade and keeping faces exactly as they were. AirBrush suits people who edit selfies and recent portraits and want a light restoration tool inside the same app. Both run on credits, but only Pinin gives you a free first restoration to judge the results.

Key facts, checked October 31, 2026:

• Pinin is a dedicated, browser-based AI photo restoration service. First restoration is free, no credit card needed. Packs run from $5.99 for 5 photos ($1.20 each); subscriptions from $12 a month (annual billing) for 30 restorations.
• AirBrush started as a mobile beauty and portrait editor and now also sells Airbrush Studio, a desktop suite with a photo restoration feature. AirBrush's own blog lists Studio Pro from $12.95 a month or $129.95 a year, with a free plan available.
• Credits: AirBrush works on a credit system. Per its pricing page, a photo costs 1 credit to export, the Plus subscription includes 80 credits a month, and purchased credits stay valid for 1 year.
• Speed: Pinin lists 1 to 3 minutes per photo. AirBrush publishes no turnaround figure for restoration.
• Batch and licensing: Pinin offers album mode, 30 to 100 photos per batch depending on the plan, and a commercial license on subscriptions. AirBrush lists neither batch mode nor a commercial license for restoration.
• Refunds and data: Pinin guarantees re-processing or a credit refund, plus a money-back guarantee when a photo is too degraded to salvage, and deletes files and processing caches within 30 days. AirBrush's subscription credits expire when the subscription term ends.
• Severe damage: No AI can rebuild a face that is missing from the print. Pinin also sells hand restoration by human artists, estimated from $10 per low-damage photo; AirBrush lists no human option.

Why compare Pinin and AirBrush for photo restoration?

In a closet somewhere, most families keep a box of photographs that are losing the fight with time. A confirmation portrait with a water stain creeping across the collar. A 1962 wedding picture that has turned the color of weak tea. A wallet-size photo of a soldier, soft from forty years of pocket lint.

AI can repair these images in minutes, and two very different kinds of tools claim to do it. AirBrush made its name smoothing skin and whitening smiles in selfies, then added restoration to its editing suite. Pinin was built from the start to do one job: restore old photographs without changing the people in them.

This Pinin vs AirBrush comparison covers features, speed, pricing, privacy and, most importantly, results on old photos. Full disclosure: we write Pinin's blog, so we have skin in this game, and we treat that stake the way an editor would: prices below come from the vendors' own pages or are attributed to whichever source reported them. Every AirBrush claim links to AirBrush's own words. Where AirBrush does the job better, we say so plainly. A three-photo test at the end lets you judge both on your own pictures instead of trusting anyone's marketing.

Why do AI photo restorers get old photos wrong?

The request sounds simple: take this damaged picture and make it whole again. For an AI model, nothing about it is simple. A scratched portrait with a missing cheek maps to thousands of possible clean faces, and the model has no way of knowing which one stood in front of the camera.

This is an ill-posed problem in the researcher's sense. In the CodeFormer paper (NeurIPS 2022), the authors show that one degraded input maps to countless plausible high-quality outputs, so they built a dial trading faithfulness against visual polish, because the two genuinely pull apart.

Most image models learn from clean, modern photographs. When one meets a water stain, it paints over it with something tidy drawn from its training data. Pinin's team has a name for it, hallucination: a model that invents details rather than reconstructing them. Send in your grandfather and a smooth-cheeked stranger with his haircut comes back.

AirBrush adds a second, subtler version of the same problem. A beauty editor is optimized for exactly the opposite of faithfulness: its whole purpose is to make faces look better than the negative did. Skin gets smoother, eyes get more symmetrical, jaws get slightly narrower. Those changes are the product when you are retouching a selfie. On a 1948 portrait of your great-aunt, they quietly erase the person.

What does faithful restoration look like?

The restorer behind Pinin's name faced this tension with a brush instead of a model. When Pinin Brambilla Barcilon started restoring Leonardo's Last Supper in 1978, roughly 17.5% of the mural's 45 square meters was already gone. She called the work a "silent conversation between restorer and author," and her 21-year effort ended when the mural reopened on May 28, 1999. Her rule was to recover what Leonardo painted, never to improvise what he might have painted.

A family photograph deserves the same discipline at smaller scale. The diagram below shows how a restoration pipeline and a beautification pipeline treat the same damaged portrait differently.

A beauty editor's pipeline is tuned to make faces look better. A restoration pipeline is tuned to return the face that was photographed.

That difference in purpose is the lens for everything that follows.

Pinin or AirBrush: which AI photo restorer should you pick?

Pick by the job on your desk. Four situations cover most readers.

Choose Pinin if the photos are old and the faces matter. Pinin does one thing: repair damage, reverse fading, colorize, deblur and upscale old pictures while holding the original features in place. It prices by the photo, runs an album mode for whole shoeboxes, and includes a commercial license with its subscriptions.

Choose AirBrush if you are already a portrait editor and want light restoration on the side. Its retouching toolkit is genuinely good at what it was built for, the mobile and desktop apps are polished, and its Studio Pro plan bundles restoration with the rest of the suite at $12.95 a month per AirBrush's own site.

Choose a human restorer if the photo has torn or missing pieces. Neither AI product can recover a face that no longer exists on the print, and guessing at one is worse than admitting the gap. Pinin's manual restoration team quotes a price within 72 hours and delivers in 5 to 10 business days.

Choose both for a one-hour experiment. AirBrush has a free plan and Pinin has a free first restoration, so a head-to-head on your own scans costs nothing. The three-photo test near the end shows exactly how to run it.

What is AirBrush and what does it do?

AirBrush launched as a mobile beauty editor, the category of app built for skin smoothing, blemish removal and selfie enhancement. It earned a large following for that job, then expanded into a wider AI editing suite and a desktop product, Airbrush Studio for Windows and macOS, which includes a photo restoration feature aimed at damaged images.

The business model is credits. Per AirBrush's pricing page, a photo costs 1 credit to generate or export, videos cost more, subscription credits are issued monthly and expire when the subscription term ends, and purchased credit packs last 1 year. The help center says the Plus subscription includes 80 credits a month. AirBrush's own blog lists Airbrush Studio Pro starting at $12.95 a month or $129.95 a year, with a free plan that covers basic features but still requires credits for exports.

To its credit, the app is approachable. The interface is polished, the retouching tools are strong, and for light work on recent photographs, removing a few dust spots, sharpening a slightly soft scan, it produces clean, usable output. If your collection is mostly modern smartphone pictures that need a touch-up before printing, AirBrush will probably do the job.

Where does AirBrush fall short?

The limitation is lineage. AirBrush is a beauty editor that added restoration, and its defaults show it: smoothing and enhancement sit one tap away at all times, which is exactly the behavior you do not want applied to a historical face. Three specific gaps matter for old-photo work:

• No colorization on the restoration page. AirBrush's restoration feature page does not list black-and-white-to-color conversion, which is half the reason people restore vintage photos.
• No batch or album mode. Every photo is a separate manual session, so a 60-photo family archive means 60 rounds of upload, adjust and export.
• No human fallback. There is no manual restoration service for tears, missing corners or destroyed emulsion, and no published refund policy tied to restoration results. If the AI cannot handle your worst photo, the app has nowhere to send you. None of this makes AirBrush a bad product. It makes it the wrong shape for the specific problem of old, damaged, irreplaceable photographs.

What is Pinin and what does it restore?

Pinin is an AI photo restoration service, browser-based, named after Giuseppina "Pinin" Brambilla Barcilon, born in Monza in 1925, the conservator who spent over two decades on Leonardo's Last Supper. The product follows her rule: a restoration should recover what was there, so the original face and details stay on the page. The story of Pinin gives the full background.

Which photo problems can Pinin fix?

• Damage repair: scratches, tears, water stains, fade and overexposure.
• Colorization: black-and-white photographs turned into color, with a dedicated colorization tool.
• Deblurring: camera shake, motion blur and optical softness.
• Upscaling: small scans enlarged for modern screens, up to 4K. The AI enhancement page covers sharpening and enlargement.
• Color correction: decades of dye fade reversed. Pinin's own claims are bold: it says it beats ChatGPT and other leading models on restoration accuracy, holds original faces and details in place, and even reads historical context like the lens a photo was shot with. Verify rather than trust: the examples gallery holds real before-and-after pairs, and the three-photo test later in this article checks those claims on your own scans.

What happens when you upload a photo?

Four steps, no friction. You sign in with a magic link sent to your email, so there is no password to invent and no credit card in sight. Every new account receives one free credit, which is why the first photo restoration costs nothing. Your photo runs through the photo restoration tool, and the result is ready to download in 1 to 3 minutes.

The trust details sit underneath. The infrastructure is GDPR-compliant, uploaded files and processing caches are deleted from internal servers within 30 days, and payments run through Stripe. If a print is too degraded for the AI to salvage, a money-back guarantee applies rather than a shrug.

Where does Pinin fall short?

Pinin is narrower than AirBrush by design. It does not retouch selfies, reshape faces or generate new images, so it cannot replace a general editing app. It is also not the fastest option in a vacuum: 1 to 3 minutes per photo is slower than some rivals' quoted turnarounds. Pricing has quirks worth knowing before you buy. One-time pack credits expire 1 year after purchase, subscription credits reset monthly with no rollover, and credit packs cover personal use only, so selling restored images requires a subscription with its commercial license.

And AI has a ceiling everywhere. When a photograph has torn-off corners, a missing face or large areas of lost emulsion, Pinin sends the job to its manual restoration artists instead of inventing a face. Pinin would rather tell you what it cannot do than fake it.

How do Pinin and AirBrush compare feature by feature?

The structural difference is purpose. Pinin sells one workflow tuned for old photographs. AirBrush sells a broad portrait-editing suite in which restoration is one feature among many. That difference runs through every row of the table.

Which tool keeps faces more faithful?

This is the row that decides the comparison for family photographs, and it is also the row where AirBrush's DNA shows. Its editing suite is built around beautification, and its own marketing describes presets that range from a "natural finish to a softer, more youthful look." That is a fine objective for a LinkedIn headshot. For a portrait of a relative who died in 1971, a softer, more youthful look is a factual error.

Pinin treats face preservation as the point of the product rather than a side effect to suppress. We found no independent head-to-head benchmark of the two, so run the check yourself: restore one face in each tool, put the results beside the original at 100 percent zoom, and compare eye spacing, nose and jaw. Pinin also backs its results with a satisfaction guarantee, re-processing the photo or refunding the credit if a result disappoints.

Which tool handles colorization?

Pinin, and it is not close on paper. Colorization is a named Pinin capability with a dedicated tool and its own page. AirBrush's restoration page does not list colorization at all, so a faded black-and-white wedding portrait has no supported path to color inside the restoration feature. If colorizing your grandparents is the job, Pinin's dedicated colorization tool covers it directly.

Which tool is faster?

Unknown for AirBrush, because it publishes no restoration turnaround. Pinin quotes 1 to 3 minutes per photo, which is honest rather than fastest-in-class. For a handful of photos the difference barely registers. For a whole album, throughput depends far more on batch support than on seconds per photo, and that is where Pinin's album mode, 30 to 100 photos per batch depending on plan, changes the math entirely.

How do the prices compare?

Pinin charges per photo. One credit restores one photograph, the credit is deducted only when a restoration succeeds, and uploads and previews cost nothing. Annual billing saves 20 percent on every subscription tier. The chart converts each Pinin option into a cost per restored photo.

Per restored photo, Pinin costs $1.20 on the smallest pack and $0.18 on the Da Vinci plan.

The full breakdown lives on the Pinin pricing page: Giotto at $12 a month on annual billing for 30 restorations, Botticelli at $32 for 100, Da Vinci at $72 for 400, and enterprise from $299 a month. A month of 100 restorations runs $32 on Botticelli against $70 paid as single credits. Subscriptions stack on priority processing and bigger batch allowances.

AirBrush's math is subscription math. Studio Pro runs from $12.95 a month or $129.95 a year per AirBrush's own blog, and everything you export consumes credits from a monthly allowance of 80 on the Plus plan per the help center. The catch is conversion: AirBrush does not publish a per-photo restoration price, and credits are shared across its editing tools, so what a restoration actually costs you depends on what else you use the app for. If you already retouch portraits weekly, restoration rides along nearly free. If you only have one box of old photos to fix, you are buying a beauty subscription to get it.

AirBrush's own blog also warns that the product is "not as powerful as professional editors" and that its features are "limited to portrait and beauty edits," which is a refreshingly candid boundary.

The fair reading: AirBrush wins on breadth and polish for everyday portrait editing. Pinin wins on per-photo pricing, batch work and every feature specific to old photographs.

What does AirBrush offer that Pinin does not?

Real things, worth naming. AirBrush ships mature mobile apps alongside the desktop suite, so you can fix a photo on your phone between errands. Its retouching toolkit, blemish removal, face reshaping, teeth whitening, preset filters, has no equivalent in Pinin, which refuses by design to alter the people in your pictures. And one subscription covers selfies, product shots and restoration together. If your library is 90 percent recent portraits and 10 percent old scans, that ratio favors AirBrush.

How can you get the best results from any AI photo restorer?

Pick whichever tool you like; the scan you feed it still sets the ceiling. These habits apply to Pinin, AirBrush and anything else with a restore button.

Why does scan quality limit the final result?

No restorer can recover detail its input never contained. For everyday prints, the Library of Congress preservation team advise 300 dpi/ppi as a baseline for everyday sizes like 5x7 and 8x10 inches, and more than that if enlargement is planned. Clean the scanner glass, blow dust off the print, lay it flat and turn off your scanner's auto-enhance. A phone photo taken in even, glare-free daylight is a workable fallback, but a flatbed scan gives the model more to recover.

Should you restore a photo before you upscale it?

Yes: repair first, enlarge second. Enlarging a damaged photograph produces a bigger damaged photograph, with every scratch and stain rendered in higher resolution. Pinin handles repair and upscaling in a single pass, so the ordering problem disappears. With a multi-tool app, ask for restoration in one operation and enlargement in the next, and inspect the repair before you commit pixels to it.

How do you spot invented details?

Set the original and the result side by side at 100 percent zoom and inspect five landmarks:

• Eye spacing and shape. Eyes drift before anything else does.
• Nose and mouth. New smiles on faces that were serious are a classic invention.
• Hairline and ears. Models smooth both into generic shapes.
• Jewelry, glasses, medals. An added or missing item is an error either way.
• Text and patterns. Signs, uniforms and wallpaper decay into plausible nonsense.

How accurate is AI colorization on old photos?

Colorization is inference, not memory. A red dress and a green dress can share the same gray in a black-and-white print, so any model is guessing from context. Ask relatives what colors they remember, check uniforms and flags against references, and keep the monochrome original beside the colorized version. Pinin says it factors in historical context such as era and lens type; verify the skin tones against a memory, not against a mood board.

When should you stop using AI and call a human?

When the damage includes torn-off corners, a missing face or large areas of dissolved emulsion, no model can recover what is not on the print. Brambilla Barcilon worked on a mural with 17.5 percent of its surface missing, and she spent 21 years doing it responsibly. For a family photograph in that state, request a quote from a human service; Pinin's manual team answers within 72 hours.

How do you run a fair three-photo test of any AI photo restorer?

Marketing copy settles nothing. Your photographs can, in about an hour.

• Choose three photos. A sharp portrait, a group shot with small faces, and one with real damage: a crease, a stain, a fade.
• Scan once. Use the identical file in both tools, so every difference comes from the restorer, not the input.
• Run each photo through each tool. Note the time and the credits or cost consumed.
• Compare landmarks. Eye spacing, nose, hairline, jaw and accessories, checked against the original.
• Hunt for inventions. Zoom into backgrounds, fabric patterns and any text.
• Score the cost. Take the price paid and divide by the results you would genuinely frame. The tool that wins your three photos is the right tool. That answer beats every chart in this article.

FAQ: Pinin vs AirBrush and AI photo restoration

Is AirBrush good at restoring old photos?

For light damage on recent photographs, adequately. AirBrush's restoration feature handles minor scratches, spots and general enhancement, and the app is easy to use. For old prints with heavy damage, its beautification heritage tends toward smooth, generic output, and its restoration page lists no colorization, batch mode or human fallback. Test your worst photo before subscribing.

Is Pinin free to use?

Yes. Every new account receives one restoration credit at no charge, and magic-link sign-in means no password to manage and no card anywhere in the flow. Past that, packs begin at $5.99 for 5 restorations, and subscriptions begin at $12 a month (annual billing) for 30.

How much does Pinin cost compared with AirBrush?

Pinin works out to $1.20 per photo on a small pack, $0.70 at 100 credits, and $0.18 to $0.40 per photo on subscription tiers. AirBrush charges a subscription, from $12.95 a month or $129.95 a year for Studio Pro per its own blog, plus credit consumption for exports from an 80-credit monthly allowance on Plus. Pinin is cheaper for a finite box of photos; AirBrush only pencils out if you use its editing suite regularly anyway.

Does AI photo restoration change faces?

It can, and with beauty-trained models it often will. Generative systems fill damaged areas with plausible detail, and smoothing or "improving" a face is a plausible change. Compare eye spacing, nose shape, hairline and jaw against the original scan before accepting any result, from either tool.

Which tool colorizes black and white photos?

Pinin: colorization is a dedicated tool there. AirBrush's restoration page does not list it. If your project includes turning monochrome portraits into color, only one of the two supports it directly.

Can AI fix torn or missing parts of a photo?

Small tears, creases and gaps can be repaired by inference from surrounding detail. A missing face or a lost corner cannot be recovered, only invented. For that class of damage, Pinin hands the print to human artists: you get a quote within 72 hours, and the finished work comes back inside a week to ten days.

Is it safe to upload family photos to an AI restorer?

Read the retention and compliance story before you hand over a family photo. Pinin states GDPR-compliant infrastructure and deletion of uploaded files and processing caches within 30 days. AirBrush describes credit mechanics on its pricing page but does not publish a restoration-specific retention period, so read its privacy terms for anything you would not want stored.

Can I use restored photos for commercial work?

Pinin's subscriptions include a commercial license; one-time credit packs cover personal use only. AirBrush does not state licensing terms on its restoration page, so review its terms of service before selling restored images. Genealogists, photographers and studios should confirm the license in writing either way.

How can I restore a whole album at once?

Batch support decides this one. Pinin's batch processing takes batches of 30 to 100 photos depending on your plan, and enterprise accounts go further with unlimited bulk upload. AirBrush lists no batch mode, so an album means repeating a manual session for every print.

Key takeaways

• Purpose is the difference. AirBrush is a beauty and portrait editor that added restoration; Pinin was built for one job, restoring old photographs faithfully.
• Faces decide it. A smoothing-first pipeline subtly rewrites the people in historical photos. Pinin's explicit priority is returning the face that was photographed.
• Feature coverage diverges fast. Colorization, album mode, up to 4K upscaling and a human restoration fallback exist on Pinin's side of the table; AirBrush's restoration page lists none of them.
• Pricing fits different buyers. Pinin's $0.18 to $1.20 per photo suits a finite archive. AirBrush's $12.95-plus subscription suits ongoing portrait editing, with restoration as a rider.
• Honest limits on both sides. Pinin is slower than some rivals, credits expire, and commercial use needs a subscription. AirBrush publishes no turnaround, no per-photo price and no restoration refund policy.
• Test before you trust. Both tools have a free entry point, and a three-photo side-by-side on your own scans settles the question better than any review. Still comparing? See how Pinin fares against other dedicated restorers in Pinin vs Imgkits, or against other face-focused apps in Pinin vs Face26 and Pinin vs Wink.

TLDR

Pinin is the better choice for old, damaged family photographs: per-photo pricing, a free first restoration, colorization, batch mode and a human team for the worst damage. AirBrush is the better choice for ongoing portrait and beauty editing, with light restoration included. Run one photo through both, free, and let your own faces decide.

Ready to see what Pinin does with your photo?

The first restoration costs nothing. Sign in with a magic link, upload the photo from the bottom of the drawer, and judge the eyes, the jaw and the hairline yourself. No credit card, no password, no subscription waiting to pounce.

Restore your first photo free

Want more before you commit? The restoration examples show real output, credits and plans breaks down every tier, and support answers the rest. For a print with torn or missing pieces, get a free quote from the human artists at manual restoration rather than hoping an algorithm gets lucky.

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