Let's Enhance: reviews and analysis

TLDR: Let’s Enhance takes a photo you already have and brings it up to a larger size without falling apart, with different models depending on the problem, from a compressed file to a scanned old print. Its distinguishing trait in this segment is print preparation with resolution control. It has been running since 2017 and its limits are well documented: the harder you push the factor, the more detail gets invented. Paid access starts at $9 a month on annual billing, and credits expire if you cancel.

What Let’s Enhance is and how it works

Let’s Enhance is a web service for improving photographs you already have. It does not generate an image from a description, it starts from your file and works on it: enlarging resolution, sharpening, removing compression artefacts, restoring old material, cutting out backgrounds and preparing the result for print.

The part worth understanding before using it is that one model does not do all the work. From its first public version the service has separated what each layer does, and that separation is exactly the line between a defensible result and an invented one. One layer cleans the artefacts compression left behind, which is real recoverable information. Another enlarges while keeping what was there. And a third synthesizes new detail, which is where the image stops being a record of what happened and becomes an interpretation.

That distinction has practical consequences. For a product shot or a family keepsake you want to print, synthesis is welcome because the goal is that it looks good. For any use where it matters that the detail was real, it is useless, and the service has said so plainly from the start.

The model list has widened over time, with one aimed at restoring and colourizing old photos and another for material with blur, noise or pixelation. It is also worth knowing that the company’s changelog carries no 2026 entry at all, so the product cadence has cooled off even though the service still runs.

What it’s like to use day to day

The flow is short: upload, pick a model and a factor, wait, download. The interface asks for no learning and reviewers who test it in comparisons tend to agree it is one of the easy ones.

The decision that actually matters is the upscale factor. Up to a point the result holds and the photo gains size without giving itself away. Past that, the side effects long independent tests describe start showing: an artificial sheen on textures, skin tones drifting and the odd hallucinated element where there used to be a plain surface. The practical rule is to stay at the lowest factor that solves your problem rather than the highest the tool allows.

Portraits are the touchiest material. They come out worse than landscapes and worse the tighter the crop, a pattern that showed up in the earliest press tests and still shows up in this year’s. If the job is a face at large size, look at the result at full resolution before signing it off.

Large batches run slow, so it is work to launch and leave running. And there is an entry friction it has carried since launch: the image uploads before the account exists, and seeing the result requires registering. That is the most repeated criticism from its first public appearance and it is still there.

Pricing and plans

There is a free plan with ten credits on signup, a watermark and upscaling capped at doubling resolution, which shows you the style of the output rather than letting you work. Paid access starts from $9 a month with one hundred credits, and above it sit two tiers with more volume.

Watch that figure. The $9 is annually billed: the page itself clarifies alongside that paying month to month it is $12. Both amounts are published, but the one you see first is the annual one.

The point to check before subscribing is what happens to the credits. They accumulate while the subscription is alive and expire on cancellation, and user reviews carry specific complaints about early charges and about how much work unsubscribing takes. The company publishes a refund policy, so there is material to complain with, but it is better known beforehand than after.

Who it’s for (and who it isn’t)

Let’s Enhance fits anyone with a photo and a specific destination: printing it larger than its resolution allows, recovering an old scan, or getting a file ready for a print shop without opening a professional editor.

It is not for retouching. It does not erase objects or recompose scenes, so if the problem is what appears in the photo rather than its size, Pixelcut or Photoroom cover that better. It is also not for genuinely shaken or badly out-of-focus material, where no upscaler works magic. And it is no use for anything that depends on the detail having been real, because part of that detail comes from the model.

Alternatives to Let’s Enhance

The split is by kind of problem. For background cutout and object erasing on product photos, Pixelcut and Photoroom. For building generated product scenes, Flair AI. For editing and generating on a fuller canvas, Visuali. They are in Let’s Enhance alternatives, and the whole category sits in our guide to the best AI image tools.

Frequently asked questions

Does it fix a blurry photo?

That is not its job. It enlarges resolution and cleans compression, and there is a model aimed at blurred and noisy material, but a genuinely shaken photo stays shaken. What you gain will be synthesized detail rather than recovered detail.

How far is it worth pushing the factor?

Stay at the minimum that solves your case. Independent tests describe an artificial sheen and hallucinated elements when pushed beyond eight times.

What does it actually cost?

The page shows $9 a month, and that figure requires annual billing. Month to month it is $12, and the page says so right next to the price.

What happens to my credits if I cancel?

They expire. They accumulate while the subscription is active and are lost on cancellation, so spend them before you cancel.

Can I try it without registering?

Not quite. The image uploads before the account is created, but seeing the result requires signing up. It is the tool’s oldest complaint and it still applies.