Let’s Enhance is one of the longest-running AI image upscalers on the web, and in 2026 it sits at the top of most comparison lists for a reason: instead of a single all-purpose model, it ships six specialised super-resolution engines tuned to different kinds of images. This review looks at what the platform actually does, what the credit system costs in practice, and where a desktop rival makes more sense.

Quick Verdict: Is Let’s Enhance Worth It in 2026?

Verdict: 4.3 / 5 — the strongest browser-based upscaler available, let down by a thin free tier. If you print large, sell online, or restore old family photos, the specialised models justify the subscription. If you enhance three images a month, the per-image cost is hard to defend. You can try it without a card on the official site.

• Best for: print photography, e-commerce product shots, old-photo restoration, AI art cleanup
• Max output: 16x upscale, up to 512 megapixels
• Formats: JPG, PNG, WebP
• Free tier: 10 one-time credits, no card required
• Weak spot: no desktop app, and heavy volume gets expensive

What Is Let’s Enhance and Who Should Use It?

Let’s Enhance is a browser-based AI platform for enlarging, repairing and cleaning up images. The toolset has grown well past simple upscaling: alongside the Enhancer and Upscaler there is a sharpener and restorer for damaged photos, background removal, text-to-image generation, an image-to-video converter and a video upscaler. Everything runs in the browser, and there is an API for teams that want to wire enhancement into their own pipeline.

Who It Is Best For

• Photographers preparing files for posters, canvas or merchandise printing
• E-commerce sellers who inherited low-resolution supplier photography
• Anyone restoring scanned family archives or damaged prints
• Artists finishing AI-generated work that needs real detail at full size

It is a weaker fit for casual users. Ten free credits do not renew, so the platform effectively asks for a subscription decision after a single afternoon of testing.

A Closer Look at Let’s Enhance: What the Specs and Users Show

Rather than claim a months-long test we did not run, this section works from the platform’s published specifications and from the public review record, where Let’s Enhance currently ranks first among twelve compared AI upscalers with an aggregate score around 4.2 out of 5.

The Six-Model Approach

This is the real differentiator. Most upscalers apply one general model to everything, which is why a portrait and a line-art logo often come back with the same plasticky texture. Let’s Enhance routes the job to a model built for the content: Ultra for photographic detail, Old Photo for scans and restoration work, Digital Art for AI-generated and illustrated images, plus variants for smart enhancement and colour correction.

Claims vs. Reality

The 16x and 512-megapixel ceilings are real, but they are tier-dependent — lower plans cap out around 256 megapixels, so the headline figure belongs to the upper tiers. Reviewers consistently praise output quality on photography and restoration, and consistently flag the same two frustrations: the browser-only workflow and the cost of processing at volume. Credit rollover softens the second complaint, since unused credits accumulate instead of expiring each month.

Let’s Enhance Pros and Cons

Pros

• Six content-specific models instead of one generic upscaler
• Up to 16x enlargement and 512 megapixels on the top tier
• Unused credits roll over rather than expiring monthly
• Genuinely strong old-photo restoration
• Nothing to install, plus an API for developers

Cons

• Free tier is only 10 one-time credits
• Per-image cost adds up quickly for high-volume work
• No desktop application — everything depends on upload speed
• The highest resolution ceiling is reserved for the priciest plan

Let’s Enhance vs. Topaz Gigapixel vs. Magnific

Topaz wins on long-term cost and offline batch processing. Magnific goes further on stylised invention but takes liberties with the original. Let’s Enhance sits between them: faithful enlargement, no installation, and the widest spread of image types handled well.

Pricing and Value for Money

• Free: 10 one-time credits, no card required
• Starter: $12/month, or $9/month billed annually — 100 credits, up to 600 accumulated
• Pro: $32/month, or $24/month billed annually — 300 credits, up to 1,800 accumulated
• Max: $45/month, or $34/month billed annually — 500 credits, up to 3,000 accumulated

Annual billing cuts roughly 25 to 33 per cent off the monthly rate, and higher tiers unlock the larger resolution ceilings and longer file storage. The honest way to read the pricing is per credit: Starter works out around nine cents an image on the annual plan, Pro around eight, Max under seven. Current plans are listed on the Let’s Enhance pricing page.

Final Verdict on Let’s Enhance

Let’s Enhance earns 4.3 out of 5. The specialised model line-up is the thing that actually matters day to day — matching the engine to the image is why restoration and print output hold up where single-model rivals go soft. The deductions are for the token free tier and for a per-image cost that punishes volume.

If your work involves printing large, selling online, or rescuing old photographs, it is an easy recommendation. Try Let’s Enhance free and see how your own images hold up.

Let’s Enhance FAQ

Is there a free version?

Yes, but it is small: 10 credits, granted once, with no credit card required. It is enough to judge output quality on your own files, not enough to finish a real project.

How do credits work?

Each processed image consumes credits from your monthly allowance. Unused credits roll over up to a cap that scales with your plan — 600 on Starter, 1,800 on Pro and 3,000 on Max — so an occasional heavy month does not strand you.

How far can it enlarge an image?

Up to 16x, with a ceiling of 512 megapixels on the top plan and around 256 megapixels lower down. Supported inputs are JPG, PNG and WebP.

Can it restore old scanned photos?

That is one of its strengths. The dedicated Old Photo model handles grain, fading and soft scans far better than a general-purpose upscaler, which is why restoration work is among the most cited use cases.

Is it better value than a one-off desktop licence?

It depends on volume. For steady bulk work, a perpetual desktop licence such as Topaz Gigapixel costs less over a couple of years. For varied image types, occasional bursts and no installation, the subscription is the more practical choice.