The best AI photo restoration apps in 2026.

RestorePhotosApp is a focused web app built specifically for restoring old, faded, scratched, and damaged face photos. The tool was originally built as an open-source experiment that went viral, and it has grown into a paid product that is now used by hundreds of thousands of people specifically to bring back old family photos. The whole product is shaped around that one job rather than being a feature inside a larger creative suite.

The free tier includes 2 full-quality, watermark-free restorations with no credit card required, and paid credits start at $4.99 with no subscription. The Family plan works out to about 13 cents per photo. We rank it first because every part of the workflow is tuned for the exact job most home users need: restoring vintage family photos at fair, predictable, one-time pricing. Credits never expire, results download at full resolution, and the privacy policy is unusually direct about the fact that photos are not used for training and are deleted after 30 days.

The honest weakness is that the tool is focused on faces and people. If your main use case is restoring old landscape photographs, architectural records, or scanned documents, a more general-purpose tool will serve you better. For the specific job of restoring family portraits and group shots from the era of analog photography, this is the tool we would recommend to a friend.

Remini is the most popular mobile AI photo enhancer in the world, with hundreds of millions of downloads across iOS and Android. The face-restoration model is excellent and the mobile experience is the most polished in the category: installation, capture, restoration, and sharing all happen inside one app, and the editor is genuinely fun to use. For modern phone selfies and casual enhancement, Remini is hard to beat.

The catch is the business model. Remini operates on a recurring subscription with weekly, monthly, and yearly tiers, and the free tier applies a watermark to your output. Cancellation goes through your phone's app store rather than inside the app itself, which makes it easy to forget about a recurring charge. For a daily mobile user this can be fine. For someone restoring a finite stack of old family photos, the subscription is poor value compared to a one-time credit pack, and the watermark on the free tier means you cannot really test the quality on your own photos before paying.

On old photos specifically, Remini is competent but tends to over-smooth faces in ways that can flatten the texture and character of older portraits. It is at its best on modern, well-lit phone selfies of people the model recognizes as looking like contemporary subjects. If that matches your use case, it is the slickest mobile experience available. If you are restoring a box of black-and-white prints from the attic, you will probably get more faithful results from a desktop-first specialist.

MyHeritage is a major genealogy platform (family trees, DNA tests, historical records), and its photo tools (In Color, Photo Enhancer, Photo Repair) live inside that broader subscription. The colorization model in particular is mature and produces consistently solid results. The integration with your family tree is genuinely useful: a restored or colorized photo can be attached to the relevant ancestor in one click, which matters if you are building a structured family history rather than just touching up a few prints.

The bundling is the catch. Photo tools are not sold separately. If you are not already a MyHeritage subscriber and you only want the photo features, you are paying for a large genealogy product just to use the corner of it that handles photos. The annual cost of a Complete subscription works out to roughly the same price as restoring 1,000 photos on a one-time pack from a focused tool. For an active family historian that bundle is great value. For someone who just wants to fix grandma's portrait, it is dramatically more than the job actually costs.

There is also a softer concern about ecosystem lock-in. Once your family tree, DNA matches, and restored photos all live inside MyHeritage, leaving the platform becomes a real undertaking. That is fine if you trust the company and plan to stay, and many people do. But it is worth being aware that signing up to "just colorize a few photos" can be the start of a much larger commitment.

VanceAI is a broad web-based AI image suite. The platform covers restoration, enhancement, colorization, background removal, upscaling, denoising, sharpening, cartoonization, and more, well over a dozen tools under one login. The breadth is the main appeal. If you handle a lot of different image tasks and prefer to do them in one place rather than bouncing between specialist tools, having everything bundled together is genuinely convenient and saves time.

The trade-off is that pricing is structured around monthly subscriptions plus credit consumption that varies by tool. Different tools cost different numbers of credits, premium models cost more credits than basic ones, and the per-photo cost is harder to predict than a flat one-time pack. For a power user who runs hundreds of images per month across many tools, the math can work out fine. For a light user who just wants to restore a stack of old photos, it is harder to know what you will actually pay until you have already paid it.

Quality on old photo restoration specifically is solid, somewhere in the middle of the pack we tested. The restoration model is competent but less obviously tuned for the specific challenges of vintage family photos than the top one or two specialists. If restoration is the only thing you need, a specialist will usually serve you better. If you need restoration plus a dozen other AI image tools and you would rather not pay for them separately, VanceAI is reasonable.

Hotpot.ai is a creative AI platform that bundles dozens of tools: AI art generators, headshot generators, restoration, colorization, background removal, AI logo design, and a long list of others. It is a strong choice for users who want a single platform for a wide range of AI creative work. The product clearly leans into the "Swiss Army knife" identity, and it is good at being one.

For pure photo restoration of old family photos, the experience is fine but not the focus of the product. The restoration tool produces reasonable results on moderately damaged photos. On heavily damaged or very old prints it tends to be less confident than the dedicated restoration specialists at the top of this ranking. That is not a flaw so much as a difference in intent. Hotpot.ai is built for creative breadth, not for being the best at any one image-restoration task.

We rank it here rather than higher because the primary use case in this ranking is restoring old family photos specifically, and on that single job a focused tool tends to win. If you find yourself wanting AI headshots, background removal, art generation, and occasional photo restoration all in the same week, Hotpot.ai is a sensible choice and you will get good value across the board.

Photoshop is still the gold standard for manual photo restoration, and recent versions include Neural Filters (AI-powered tools for face restoration, scratch removal, colorization, and more) that bring some of the same model quality you find in dedicated AI tools into a full-blown manual editor. If you are an experienced retoucher or have time to learn, Photoshop gives you the most control and the highest possible ceiling for quality. A skilled retoucher with Photoshop can produce results that no fully automated tool will match.

The downside is everything else. The learning curve is steep. A non-expert restoring a moderately damaged family photo can easily spend one to four hours per image, and most of that time is spent learning the program rather than doing the actual restoration. There is also a recurring Adobe Creative Cloud subscription, which costs more per month than most one-time photo restoration packs cost in total. For most home users restoring family photos, Photoshop is significantly more time and money than a dedicated AI tool would be, with a quality difference that only becomes meaningful in the hands of someone who already knows what they are doing.

Where Photoshop genuinely shines is the 1% of cases where automated tools fall short: extreme damage, missing pieces of a photo, complex multi-figure compositions where the AI gets confused about what is foreground and what is background. For those edge cases, nothing else even comes close. For everything else, an AI specialist will get you 95% of the result in 1% of the time.

GFPGAN and CodeFormer are open-source AI face restoration models from Tencent ARC Lab and the open-source research community respectively. They are the same kind of models that power many commercial restoration tools, including, in some cases, the underlying technology behind the products higher up on this list. They are completely free if you can install Python and run them locally, or pay nothing on free Hugging Face Spaces if you would rather not deal with a local setup.

For technical users, the quality-to-price ratio is unbeatable: zero dollars, full control, full privacy because everything runs locally. For non-technical users, the experience is very different. The user experience is bare-bones, you have to know what command-line flags to pass, results often need tweaking and re-running, and there is no support if something goes wrong. The Hugging Face Spaces versions remove the install step but add waiting in queues and fairly aggressive resource limits.

We include them in the ranking specifically because they are an honest free option that actually works, and we think it is fair to acknowledge that the underlying AI does not have to cost anything if you are willing to do the work yourself. For most readers of this article, that is too much friction and a polished commercial tool will be a better use of an afternoon. For developers and tinkerers, the open-source path is genuinely viable and produces results that are impressive for a tool with a $0 price tag.