The 6 Best AI Image Upscalers in 2026 (Compared)

A client asks for a print. The photograph is from 2011, it is 3008 by 2000 pixels, and they want it at 60 by 40 centimetres on a wall in their hallway. There is no larger file. The negative, if there ever was one, is gone.

The entire question is whether software can invent four times as many pixels as the camera recorded and produce something that survives being looked at from two feet away.

That is what AI image upscalers are for, and in 2026 the interesting story in this category is not the models, which have converged, but the licensing. The best-known name in the field used to sell software you bought once and owned.

It does not any more. Meanwhile the free, open-source option is now credible enough to try first, which is not a sentence anyone could have written three years ago.

So we compared six of them against the two jobs photographers actually bring to this category, using each vendor's own pricing and documentation.

An AI image upscaler is software that increases the pixel dimensions of an image using a generative or learned model, inventing detail that was never captured rather than interpolating between existing pixels, and the meaningful differences between them are what they invent, how honestly they do it, and whether you rent or own the tool.

September 2026 update: Framekit's plans were re-verified along with the line on what happens to a restored image, because Framekit delivers the finished set in a client gallery with watermarks and PIN-protected downloads; upscaler prices are as checked in August 2026.

On 12 October 2026 we deleted the output comparisons from a two-file run we cannot document; the prices, limits and licence terms below are unchanged.

How We Compared These Upscalers

We compared the six tools on their published pricing pages, licence terms, megapixel and credit limits, processing location and storage terms, read in August 2026, and framed the comparison around two real jobs rather than sample galleries: a 3008 by 2000 pixel wedding frame from 2011 with visible sensor noise, upscaled four times for a 60 by 40 centimetre print, and a 1200 pixel wide product shot saved as a compressed web JPEG whose original had been lost, upscaled four times for a client's catalogue.

Those two were chosen because they are the two real jobs in this category and they fail differently.

An archive frame from a real camera has genuine detail buried under noise, and the question is whether the model recovers it or replaces it.

A compressed web JPEG has no detail left at all, and the question is what the model invents to fill the gap, and whether a client will notice that the fabric texture in the catalogue is fictional.

Two confidence levels appear below. A price marked published was read on the vendor's own pricing page in August 2026.

A price marked not displayed means the vendor's page showed a plan without a figure, which happened more often here than in most categories and is noted in each entry rather than filled in from elsewhere.

We did not run files through any of the six for this article.

Every entry draws on the vendor's own pricing page and documentation, and where an entry talks about output it describes how the tool is designed and positioned, not a result we observed; the fifteen-minute test near the end is how to judge output on your own files.

What the ranking weighs, in our judgement and from published material only: cost over three years at the published prices (30 percent), where the processing happens and how long uploads are kept (25 percent), licence terms including commercial use and whether you can still buy rather than rent (20 percent), published output ceilings and credit allowances (15 percent), and the controls each tool documents for how much detail it invents (10 percent).

These weights replaced, on 12 October 2026, a scheme that put 60 percent on output from a two-file run we cannot document; the order held, with Topaz second because it processes locally and sells a commercial licence, and if three-year cost counted for everything, Let's Enhance would take second instead.

That last criterion matters because for commercial photography a plausible fabric that does not exist is a client problem rather than an aesthetic one.

In one linesix upscalers compared on prices, licences, limits and processing location read in August 2026, framed around a 2011 archive frame and a lost 1200px web JPEG, with no output results claimed.

By the Numbers

Six tools, two problem jobs, one 60 by 40 centimetre print target.

The figures below are the ones that shaped the ranking, and the first two describe a change in how this category is sold rather than anything about the models themselves, which have quietly converged over the last two years.

• $0 is the full price of the tool we ranked first, permanently, on Windows, macOS, and Linux, with processing done on your own machine.
• No one-time purchases are offered for Topaz's current products, which are now subscription-only.
• $149 a year is Topaz Gigapixel Personal, $199 is Topaz Photo Personal, and $399 is the Topaz Studio bundle.
• 499 to 799 dollars a year is what Topaz charges for the Pro tiers of the same products, which are the commercial-use licences.
• $9 a month billed annually is Let's Enhance Starter with 100 credits a month, the cheapest cloud subscription here.
• 10 free credits is what both Let's Enhance and Upscayl Cloud give on signup, and Let's Enhance watermarks free output.
• 20 upscales per 24 hours at 2x is Clipdrop's free allowance, which is the most generous recurring free tier in this comparison.
• 240,000 credits a year come with Magnific Premium at 12 euro a month billed annually, valid for a year with no monthly reset.
• 3 of 6 can process on your own machine (Upscayl, Topaz's desktop apps and ON1) rather than uploading your client's photographs to a server.

The Full Comparison Table

Prices were read on the vendor's own pricing page in August 2026. Where a vendor displayed a plan without a price, the table says not displayed rather than borrowing a figure from a third party. Three-year cost assumes one person doing occasional restoration work.

The last column deserves more weight than it usually gets in this category. Three of these six upload your client's photographs to somebody else's server, and three can work on your own machine.

1. Upscayl: Free, Local, and Genuinely Good Enough

Upscayl ranks first because it costs nothing, charges nothing per image, and never sends the client's photograph anywhere.

The project describes itself as free and open source, runs on Linux, macOS, and Windows, and processes on your own machine, which for wedding and portrait work is a meaningfully different proposition from uploading a stranger's face to a service.

The real number is zero for the desktop application.

There is a separate Upscayl Cloud offering with a free trial including 10 credits and a Pro plan at $24.99 a month for 300 credits a month, with several other credit tiers whose prices the page did not display.

The cloud version exists for speed and batch processing rather than for capability.

Against Topaz Gigapixel at $149 a year, three years of Upscayl costs $0 against $447.

Whether the free model is good enough for your files is the one thing a price table cannot settle, so run the two-file test near the end of this article on your own archive before paying for anything.

The standout detail nobody writes about: because it runs locally with no account, there is no per-image cost, which changes how you work.

Upscaling forty frames from an old wedding to see which ones hold up is free, and on any credit-based service that experiment costs real money and therefore does not happen.

The gotchait will usually be slower than the cloud services on a modest machine, because the work is happening on your hardware rather than on a rented GPU. Batch processing exists in the desktop app and is basic next to a paid service.

Skip it ifyou need to restore a badly degraded image where most of the detail is genuinely gone. That is invention rather than recovery, and it is worth trialling Topaz or Magnific on that file before settling for the free result.

Verdict: Free, private, cross-platform, and worth trying on real print work before anything paid. The correct first tool in this category and the only one that costs nothing over three years.

Restored archive work deserves somewhere to live; our guide to what makes a good photography portfolio covers the presentation side.

2. Topaz: The Reference Name, No Longer Something You Own

Topaz is the long-standing reference name in this category, with separate products for photo editing, upscaling and video and a Personal and a Pro licence on each, and the story this year is not its models but how you pay for them.

The real numbers, and this is the finding of the article: Topaz now sells subscriptions and states that no one-time purchases are offered for current products.

Gigapixel is $149 a year Personal or 499 dollars a year Pro, Photo is $199 Personal or $599 Pro, and Video is $299 Personal or $699 Pro. The Topaz Studio bundle is $399 a year Personal and $799 Pro.

Month-to-month options are more expensive, at $29 a month for Gigapixel against $19 on an annual commitment. Web and cloud products are priced separately, with Topaz Image Web at $109 a year Standard and $329 Pro.

That change matters more than any feature. Topaz built its reputation selling perpetual licences to photographers who dislike renting software, and the current lineup has no equivalent.

A photographer who bought Gigapixel once and used it for five years now pays $745 for the same five years on the Personal tier, or $2,495 on Pro.

The standout detail: the Personal and Pro split is a commercial-use distinction rather than a feature one, and the Pro tiers are roughly three times the price.

Read which one your work requires before comparing Topaz to anything else in this article, because 499 dollars a year for Gigapixel Pro changes the arithmetic entirely.

The gotchathe month-to-month prices are substantially higher than the annual-commitment monthly prices, at $29 against $19 for Gigapixel, so the flexible option costs about 53 percent more.

Skip it ifthe reason you were interested was owning your tools. That option no longer exists here, and ON1 is the remaining answer.

Verdict: The best-known name in this comparison and the biggest philosophical change, at $149 a year for the Personal tier of Gigapixel and 499 dollars for commercial use. Worth a trial if restoration is regular work, and Upscayl is free if it is not.

3. Let's Enhance: The Cheapest Cloud Subscription

Let's Enhance is a browser service with a clear credit model and the lowest paid entry price here, and because the work happens on their hardware rather than yours, it is the practical option when your own machine is the bottleneck.

The real numbers: Let's Enhance gives 10 free credits on signup, with free output watermarked, input up to 24 megapixels, and upscaling to 8 megapixels.

Starter is $9 a month billed annually or $12 monthly with 100 credits a month and upscaling to 256 megapixels. Pro is $24 annually or $32 monthly with 300 credits and 350 megapixels.

Max is $34 annually or $45 monthly with 500 credits and 512 megapixels. All paid plans accept input up to 64 megapixels or 50MB and remove the watermark.

At $108 a year, Starter is the cheapest genuine subscription in this comparison and undercuts Topaz Gigapixel Personal by $41 a year. 100 credits a month is a real allowance for occasional restoration work, roughly three images a day.

The standout detail: the megapixel ceilings scale with the plan, which is unusual and honest.

Most competitors cap by credits alone; here the plan also determines how large a file you can produce, and a 60 by 40 centimetre print at print resolution sits comfortably inside Starter's 256 megapixel ceiling.

The gotchathe free tier watermarks output, so it evaluates the model and cannot deliver anything. That is a clean line and worth knowing before you spend the 10 credits.

Skip it ifyou are restoring identifiable people for clients and are uncomfortable uploading their photographs. Everything here happens on their servers.

Verdict: The best cloud value at $108 a year. Choose it over Topaz if paying $41 a year less and processing on someone else's hardware suit you, and judge any quality gap on your own file with the free credits first.

4. Magnific: Upscaling as Part of a Generation Subscription

Magnific is built around reimagining an image rather than only enlarging it, which is both its strength and the thing to be careful about, because detail added that way is invented rather than recovered.

For a hero image that can be impressive. For a catalogue where the fabric has to match the product, it is a problem.

The real numbers: the pricing page is headed Magnific, formerly Freepik, which is worth knowing if you are searching for it under the old name.

Premium is 12 euro a month billed annually or 16 monthly with 240,000 credits a year. Premium Plus is 27 euro annually or 36 monthly with 600,000 credits a year. Pro is 172.50 euro annually or 230 monthly with 4 million credits.

All plans include access to all image, video, and audio models, annual billing saves 25 percent, and credits are valid for one year with no monthly resets.

At 144 euro a year, Premium is competitive with Let's Enhance Starter and buys a great deal more than upscaling, since the same subscription covers image, video, and audio generation. If you already need generative tools, upscaling arrives free with them.

The standout detail: annual credits with no monthly reset. Restoration work arrives in bursts, usually when a client asks for a print of something old, and a pool that lasts a year suits that pattern far better than a monthly allowance you underuse for eleven months.

The gotchahow far it reimagines is a setting rather than a fixed behaviour. On client work, dial it down and compare against the original at full zoom before delivering.

Skip it ifaccuracy to the original matters more than perceived detail, which for product, architecture, and documentation work it does.

Verdict: The best value if you also generate images, at 144 euro a year with credits that last twelve months. And because it is designed to reimagine, it is the tool here where checking invented detail matters most.

5. Clipdrop: The Most Generous Recurring Free Tier

Clipdrop is a set of image utilities rather than a dedicated upscaler, and it earns a place because its free tier refreshes daily rather than granting a one-time allowance.

For a creative who needs to fix one image occasionally, that is a materially better shape than 10 credits that vanish.

The real numbers, partly: Clipdrop's free plan includes text to image, uncrop, background removal at 20 per 24 hours, image upscaling at 2x at 20 per 24 hours, cleanup at 20 per 24 hours, relight at 20 per 24 hours, and text remover at 50 per 24 hours.

A Pro plan raises most quotas to 1,000 per 24 hours and offers higher-resolution output, and its price did not display to our checks, so we are not going to quote one. There is an API with usage-based pricing.

That 2x ceiling on the free tier is the constraint that decides whether this works for you. A 3008 by 2000 archive frame needs 4x for a 60 by 40 print, which free Clipdrop cannot do in one pass.

For doubling a web image, or for the twenty other small fixes it does, the free tier is genuinely useful and refreshes every day.

The standout detail: the breadth. Background removal, cleanup, uncrop, and relight in the same free tier means it replaces four single-purpose tools for occasional work, and for a creative who needs those jobs monthly rather than daily it is a legitimately free utility belt.

The gotchathe Pro price is not displayed on the pricing page, so you cannot compare it to anything without starting a trial.

Skip it ifupscaling for print is the actual job. The free ceiling is 2x and the paid tier is not what this product is best at.

Verdict: The best free daily allowance in this comparison and a useful general utility. Not the tool for a 4x print upscale.

6. ON1 Resize AI: The Remaining Way to Buy Rather Than Rent

ON1 Resize AI is in this comparison for one reason that has become rare: it is sold as a purchase.

With Topaz having moved entirely to subscriptions, this is the remaining mainstream product a photographer can buy once and keep using, which for a lot of people in this audience is the whole decision.

The real numbers are not fully available and we will say so. ON1 offers a License to Own option, described as a one-time purchase covering use on 2 computers as a standalone application or as a plugin, and the same tool is also available inside Photo RAW MAX as an annual subscription covering 3 computers.

Neither figure displayed to our automated checks. There is a free trial and a 30-day money-back guarantee.

We are ranking it last on that basis rather than on quality, and it is worth being explicit about why.

A product whose distinguishing feature is its purchase model, whose purchase price we could not read, cannot be compared on the axis that makes it interesting.

Get the number, then compare it against $149 a year for Topaz Gigapixel and decide how many years you expect to use it.

The standout detail: 2 computers on a single purchase. For a photographer with a desktop and a laptop that is the whole licence, where several subscriptions here are per-seat.

The gotchabuying software outright in an AI category carries a real risk that models improve and your purchased version does not. That is the genuine argument for subscriptions and it should be weighed rather than dismissed.

Skip it ifyou want the best current results, which is Topaz, or you want to spend nothing, which is Upscayl.

Verdict: The remaining buy-once option in a category that has moved to renting, with a price we could not verify. Worth a trial specifically if ownership is why you are reading this.

Recovery Against Invention, and Why It Matters Commercially

Every tool in this comparison does two different jobs and sells them under one name, and understanding the difference is what stops you delivering something you have to apologise for.

Recovery is reconstructing detail the sensor genuinely captured but the file expresses poorly: noise obscuring texture, a soft lens, a slightly missed focus.

Here the model has real information to work from and the result is defensible.

A 2011 wedding frame like the one in our scenario, a real camera file with real detail under noise, is this easier job, and it is where a free tool has its best chance of matching a paid one.

Invention is generating detail that was never captured, which is what happens when you take a 1200 pixel compressed JPEG to 4800 pixels. There is no fabric texture in the source.

Whatever appears is the model's idea of what fabric looks like. The better a tool is at this, the more dangerous it becomes, because a convincing invention is harder to catch than an obvious one.

The commercial consequence is specific to different kinds of work. For a wedding print, invented detail is fine, because nobody is going to litigate the exact weave of a 2011 tablecloth.

For a product catalogue, an architectural record, a documentary image, or anything a client might reasonably rely on, invented detail is a misrepresentation, and the fact that it looks better makes it worse.

The practical discipline is one habit. Open the upscaled file next to the original at the same physical size and look specifically at the regions with the least original information: fabric, hair, foliage, distant text.

If a region has gained detail that could not have been in the source, decide deliberately whether that is acceptable for this job, and tell the client if it is not obviously acceptable.

In one lineupscalers recover real detail and invent fictional detail using the same button, and invented texture is fine on a wedding print and a misrepresentation in a product catalogue, so inspect the low-information regions before delivering.

What a Print Actually Needs

Most upscaling is done to a number pulled from a habit rather than from the job, and the result is either wasted processing or a soft print. Two facts settle almost every case.

Print resolution depends on viewing distance, not on a universal rule. A photograph held in the hand and inspected needs far more resolution per centimetre than the same photograph at 60 by 40 centimetres on a hallway wall viewed from two metres.

Large prints are viewed from further away, which is why a pixel density that is fine on a 60 by 40 print on the wall can disappoint in an A4 print held in the hand.

The lab's requirement is the number that matters. Every print lab publishes a minimum and a recommended pixel dimension for each size they offer, and that published figure is the target.

Upscaling beyond it costs processing time and adds nothing, and it is the most common way people waste credits on a metered service.

There is a third consideration specific to upscaled files: sharpening. Upscaled images frequently arrive slightly soft by design, because aggressive sharpening makes invented detail obvious.

Output sharpening for print should be applied after upscaling and to the final print size, not before, and most labs will tell you whether they apply their own.

For a 60 by 40 centimetre target from a 3008 by 2000 file, the arithmetic is simple: 2x gives 6,016 by 4,000 pixels, about 255 pixels per inch at that size, and 4x gives 12,032 by 8,000, about 510, so a single 4x pass clears the common 300 pixels per inch rule of thumb with room to spare and 2x falls a little short.

Whether the invented pixels look right at that size is the part to check on your own file.

In one linetarget the pixel dimensions your print lab publishes rather than a fixed multiplier, and remember a 6-megapixel file at 4x has more than enough pixels for a 60 by 40 centimetre wall print, so the real question is what the model invented, not how big the file is.

Privacy, Client Photographs, and Where the File Goes

This is the consideration that separates this category from most software comparisons, and it gets almost no attention.

Upscaling a client's photograph means putting an identifiable person's image through a system, and three of the six tools here do that on somebody else's servers.

Local processing describes Upscayl's desktop application and ON1, where the file never leaves your machine. For wedding, portrait, boudoir, and any work involving children, that is a meaningfully different position, and it is available for free.

Cloud processing describes Let's Enhance, Magnific, Clipdrop, and Upscayl's own Cloud product.

The files are uploaded, processed, and stored for a period: Let's Enhance states 6-month storage on its free tier and 3-month storage on Starter, rising to 6 months on higher plans.

Storage duration is a feature to check rather than an afterthought.

Three things worth doing before you upload a client's photograph anywhere. Read what the service says about using uploads for model training, because that varies and it is the question a client would actually care about.

Check the retention period, which as above differs by plan. And consider whether your client contract says anything about third-party processing, since many photography contracts written before 2023 do not contemplate it at all.

The straightforward answer for anyone uncomfortable with this is that the highest-ranked tool in this article is also the private one. Upscayl processes locally, costs nothing, and removes the question entirely, which is a large part of why it ranks first.

In one linethree of these six upload your client's photographs to a server with retention periods that vary by plan, and the three that can process locally, Upscayl, Topaz's desktop apps and ON1, remove that question entirely.

The Fifteen-Minute Test to Run on Your Own Archive

Take two real files rather than a demo image: your worst usable archive frame, and something you only have as a small web JPEG. Upscale both 4x in Upscayl, which costs nothing, and in the free tier of one cloud service.

Then compare three things at full print size. First, whether the archive frame gained genuine texture or plastic smoothness, since that difference is what separates recovery from damage.

Second, what appeared in the web JPEG's low-information regions, because that is invention and you need to see what your chosen tool invents before a client does.

Third, whether either result meets the pixel dimensions your print lab publishes for the size you want. If Upscayl passes all three, you have finished shopping and spent nothing.

Restoring an Archive Without Losing a Weekend

Upscaling one photograph is a five-minute job. Upscaling four hundred is a different problem, and it is the one photographers actually have when a decade of small files suddenly becomes sellable. The tools split sharply here, and the split is not the same as the quality ranking.

Local tools scale on your hardware and your patience. Upscayl processes a folder without charging per image, so the cost of a four-hundred-frame pass is electricity and an overnight run.

Its batch handling is basic, which matters less than it sounds when the alternative is metered. This is the single strongest argument for the free option: at archive volume, per-image pricing stops being a rounding error.

Cloud tools scale on your card. Let's Enhance Starter gives 100 credits a month, so four hundred images is four months of allowance or an upgrade.

Magnific's 240,000 annual credits are denominated differently and are genuinely generous, and its no-monthly-reset structure is well suited to exactly this job, since archive work arrives as one enormous burst rather than a monthly trickle.

The sequencing that saves the most time is unglamorous and worth stating. Cull before you upscale, not after.

The instinct is to process everything and then choose, and it is exactly backwards: upscaling is the expensive step and selection is the free one.

Pick the forty frames worth printing first, upscale those, and leave the rest at native resolution until someone asks.

Two more habits that matter at volume. Keep the originals untouched in a separate folder, because upscaling is not reversible and a future model will be better than today's.

And name the outputs so the multiplier is in the filename, since a folder of files at mixed resolutions with identical names is the specific way this work becomes unusable six months later.

In one linecull before you upscale rather than after, because selection is free and processing is not, and at archive volume a local tool that charges nothing per image beats a metered service regardless of which produces the marginally better frame.

What Restoration Work Is Actually Worth

The commercial question under this whole category is what you can charge for it, and creatives consistently underprice it because the software is cheap and the click is fast. That reasoning is wrong in the same way it is wrong for retouching, and it is worth setting out properly.

What a client is buying is not the upscale.

It is the judgement about which frames survive enlargement, the decision about how much invented detail is acceptable for the use, the check against the original at print size, and the willingness to say that a particular file cannot be printed at the size they want.

That is a professional opinion, and the fact that the render took ninety seconds is as relevant as the fact that a shutter fires in a fraction of a second.

Three pricing shapes work in practice. Per finished image suits print requests, where the client wants one photograph enlarged and the deliverable is obvious. Per session or archive suits a body of work, where you are selecting as well as processing and the selection is most of the value. Bundled into a print sale suits studios with a print offering, where restoration becomes invisible and the margin sits in the print rather than in a line item the client can question.

The one shape that does not work is charging by the file at a rate derived from the software cost.

A tool costing $149 a year does not imply a per-image price, and a client who is quoted one will reasonably ask why the second hundred images cost the same as the first when they obviously did not.

There is also work here that is worth declining.

A file with no recoverable detail, asked to print at a size the source cannot support, is a request to fabricate rather than to restore, and delivering it means a client hangs something on a wall and later notices.

Saying that a particular photograph cannot be printed at 100 centimetres is a service, and it is one that the software will never perform for you.

In one lineprice restoration on the judgement rather than the render, using per-image for print requests, per-archive where selection is the work, and bundled into print sales where you have them, and decline the jobs where the source cannot support the size.

The Decision Guide

Work through these and act on the first that fits. In this category the free option is genuinely competitive, so most readers should try it before opening a wallet.

Start with the file. Is there real detail in the source, or is it a small compressed JPEG with nothing left? If there is real detail, Upscayl free will very likely do the job and you can stop here.

If the source is genuinely empty, you need invention, so continue.

Are you restoring identifiable people for clients? If yes, use a local tool, which means Upscayl free or ON1, because the alternative is uploading a client's face to a service with a retention policy. If no, continue.

Do you do restoration work regularly enough to justify a subscription? If no, use Upscayl free, or Clipdrop's free 20 upscales per 24 hours at 2x for small jobs. If yes, continue.

Do you need the best possible result on badly degraded files? If yes, Topaz, at $149 a year for Gigapixel Personal, or 499 dollars a year for Gigapixel Pro if your use is commercial. Check which licence your work requires before comparing prices.

Do you want cloud speed at the lowest price? If yes, Let's Enhance Starter at $9 a month billed annually with 100 credits a month, which is $108 a year and undercuts Topaz Personal.

Do you also generate images, video, or audio? If yes, Magnific Premium at 12 euro a month billed annually bundles upscaling with all of that, and its credits last a year rather than resetting monthly.

Is buying rather than renting the reason you are reading this? ON1 Resize AI is the remaining mainstream purchase option, covering 2 computers, with a free trial and a 30-day money-back guarantee. Get the price directly, because it is not displayed.

Any branch. Before delivering, compare the upscale against the original at print size and inspect the regions that had the least information to begin with.

Where Your Website Fits In

Restoring an archive is one of the few pieces of work in a creative business that produces something new out of something you already own.

A decade of frames that were too small to use becomes a decade of frames you can print, licence, or publish, and the usual outcome is a folder of newly usable images and no change to the portfolio they should be in.

Framekit is our own product and that publishing half is what we work on, so weigh this accordingly. It is not an upscaler and it does not appear in the rankings above.

Framekit is an AI website builder for photographers, filmmakers, designers, and illustrators, producing the portfolio and store the restored work belongs in, plus client galleries, on your own domain from the $9 Starter plan.

The connection is commercial rather than technical. A restored archive is inventory: files you can licence or sell as digital downloads, a body of work that supports a higher rate, a series that becomes a project page.

None of that happens while the files sit in a folder called Upscaled.

Framekit's store sells digital downloads only, with no print ordering, so physical prints still go through your lab; it begins at $0 with a 5 percent fee on product sales, moves to Pro at $19 a month at 3 percent, and reaches Business at $39 a month with no Framekit fee, with Stripe processing on top on every plan.

If you have restored more images this year than you have published, the upscaler is not the bottleneck.

Video is a separate market with separate economics: see the best AI video upscaling tools, where we converted every plan to cost per upscaled minute.

Frequently Asked Questions

What is the best free AI image upscaler?

Upscayl, which is free and open source, runs on Windows, macOS, and Linux, and processes entirely on your own machine so client photographs are never uploaded anywhere.

Run your own archive frame through it at 4x before paying for anything, because on a free local tool that experiment costs nothing.

Clipdrop's free tier is the best browser alternative, allowing 20 upscales per 24 hours at 2x, though that ceiling is too low for a large print in a single pass.

Does Topaz still sell perpetual licences?

No.

Topaz's pricing page states that no one-time purchases are offered for current products, and the lineup is now subscriptions: Gigapixel at $149 a year Personal or 499 dollars Pro, Photo at $199 or $599, Video at $299 or $699, and the Topaz Studio bundle at $399 or $799.

Month-to-month pricing is higher than the annual-commitment monthly rate, at $29 against $19 for Gigapixel. ON1 Resize AI is the remaining mainstream buy-once option.

How much can you upscale a photo before it looks fake?

It depends on whether the source contains real detail rather than on the multiplier. A 6-megapixel camera file upscaled 4x for a large wall print is the safer case, because the model is recovering detail that exists under noise.

A 1200 pixel compressed web JPEG upscaled 4x is invention, since there is no texture in the source to recover, and what appears is the model's idea of what the surface should look like.

Is it safe to upload client photos to an AI upscaler?

Three of the six tools here process in the cloud, which means uploading identifiable people's photographs to a third party with a retention period that varies by plan.

Let's Enhance, for example, states 6-month storage on its free tier and 3-month storage on Starter.

Before uploading client work, check the service's position on using uploads for training, check the retention period, and consider whether your client contract contemplates third-party processing.

Upscayl, Topaz's desktop apps and ON1 can process locally and avoid the question entirely.

Upscayl vs Topaz: which should a photographer choose?

Choose Upscayl if your files are real camera archives and you want to spend nothing, and Topaz if you are restoring badly degraded images regularly.

The split follows the source: a real camera file with detail under noise is recovery, where a free tool has its best chance, and a lost 1200 pixel web JPEG is invention, where it is worth trialling Topaz on the same file before deciding.

Upscayl is free and local; Topaz Gigapixel is $149 a year Personal and 499 dollars a year for commercial use.

What resolution do I need for a large print?

Use the pixel dimensions your print lab publishes for that size rather than a universal rule, because print resolution requirements depend on viewing distance and large prints are viewed from further away.

For a 60 by 40 centimetre print, a 3008 by 2000 file upscaled 4x gives about 510 pixels per inch and 2x about 255, so 4x clears the common 300 pixels per inch rule of thumb and 2x falls just short.

Upscaling beyond what the lab specifies wastes processing time and, on credit-based services, wastes money.

Which AI upscaler is cheapest?

Upscayl's desktop application is free with no ceiling.

Among paid subscriptions, Let's Enhance Starter at $9 a month billed annually, which is $108 a year with 100 credits a month, is the cheapest, undercutting Topaz Gigapixel Personal at $149.

Magnific Premium at 12 euro a month billed annually is comparable and bundles image, video, and audio generation with credits valid for a year rather than resetting monthly.

Do upscalers work on video as well as photos?

Some do, and it is priced separately. Topaz sells Video at $299 a year Personal and $699 Pro, and its Astra cloud product at $328 a year Standard rising to $2,512 for Pro.

Photo-focused tools including Upscayl, Let's Enhance, and Clipdrop do not upscale video. Video upscaling is dramatically more expensive than photo upscaling in every case, because the processing cost scales with frame count.

Will a client notice AI-invented detail?

Sometimes, and it matters most where accuracy is part of the deliverable. On a wedding print, invented fabric texture is invisible and harmless.

On a product catalogue, an architectural record, or documentary work, a plausible-looking surface that was never photographed is a misrepresentation, and the more convincing the tool, the harder it is to catch.

Inspect the low-information regions, fabric, hair, foliage, and distant text, at print size before delivering.

What happened to Freepik's upscaler?

Freepik's pricing now appears under the name Magnific, with the pricing page headed "Magnific (formerly Freepik)".

Premium is 12 euro a month billed annually or 16 monthly with 240,000 credits a year, Premium Plus is 27 euro annually with 600,000, and Pro is 172.50 euro annually with 4 million.

All plans include access to all image, video, and audio models, and credits are valid for a year with no monthly reset, which suits restoration work that arrives in bursts.

Should I sharpen before or after upscaling?

After, and to the final print size.

Upscaled images often arrive slightly soft by design, because aggressive sharpening makes invented detail conspicuous, so output sharpening should be the last step applied at the dimensions you are actually printing.

Check whether your print lab applies its own output sharpening first, since doubling up produces halos that are far more obvious than the softness you were correcting.

Final Verdict

Upscayl is the best AI image upscaler for most creatives in 2026, and the two reasons have nothing to do with model quality.

It is free and open source, and it processes on your own machine, which for anyone restoring photographs of identifiable clients is not a preference but a professional consideration.

And on a real archive frame, its 4x pass gives you more than enough pixels for a 60 by 40 centimetre print, so the only question left is how the result looks on your own file.

Where Upscayl loses is clear. On a badly degraded source with no real detail left, the job is invention, and that is where a paid tool like Topaz deserves a trial on the same file before you settle.

It will usually be slower than a cloud service on modest hardware, its batch handling is basic, and it will not compete with a rented GPU on throughput.

If restoration is regular paid work rather than an occasional favour, $149 a year for Topaz Gigapixel Personal is defensible, and 499 dollars for the Pro licence if the use is commercial.

The honest summary after reading six vendors' pricing and documentation against two problem jobs: try the free one first, because in this category it is genuinely competitive and the paid tools are increasingly rented rather than owned.

Topaz's move to subscription-only pricing is the most significant change here, and ON1 is now the remaining mainstream way to buy rather than rent, if you can get a price out of it.

And do something with the results.

A restored archive is inventory rather than a folder, and it only becomes revenue once it is published somewhere a client can see and buy it.

The same commoditisation story has already played out next door in background removal, where the best-known vendor now costs eleven times the cheapest credible one.

And if the archive is damaged rather than merely small, the best AI photo restoration tools covers what those models invent when they repair a face.

Related readingThe best photo editing software for photographers, photo retouching services, and print fulfilment for photographers.

Also in this seriesdigital asset management tools and AI video generators.