Let's Enhance is a browser-based AI service that enlarges photos, recovers detail, and cleans up noise, sold on a credit system where one processed image costs one credit. It aims squarely at people who need usable, larger versions of images they already have rather than at anyone generating pictures from scratch.
What the tool actually does
The core job is resolution increase. The vendor states upscaling of up to 16x, with output resolution reaching 512 megapixels on the top tier. Those two numbers are worth separating in your head. The 16x figure describes how much larger the pixel dimensions can grow; the megapixel ceiling is a hard cap that varies by plan, and it is the number that actually limits you in practice. On the free tier you are held to an 8MP upscale, which is roughly a 3264x2448 image, while the paid tiers step up to 256, 350, and 512MP. If your goal is a large-format print or a poster, the megapixel cap matters far more than the multiplier.
Beyond raw enlargement, the service offers a set of adjacent operations: general quality enhancement and detail recovery, sharpening with noise reduction, restoration aimed at old or damaged photos, and background removal. The enhancement engine exposes three modes, Prime as the default, Gentle for preserving fine detail, and an Old Photo mode. The distinction is useful because a single aggressive setting tends to over-smooth faces and fabric; having a lighter option means you are not forced to choose between a soft result and an over-sharpened, plasticky one. The site also lists additional tools including a face enhancer, denoiser, unpixelation, text enhancer, an image-to-video feature, and a video upscaler, though those sit outside the primary still-image workflow that most users will come for.
Input is limited to JPG, PNG, and WebP, and the batch feature is capped at editing 20 images at once. For anyone processing a product catalog, that batch ceiling and the per-image credit cost together set the real throughput expectations. An API is offered under an "API for Business" banner with named Enhancer and Upscaler endpoints, which is the route for teams that want upscaling to run inside their own pipeline rather than through the web dashboard.
Where it earns its keep
- Enlarging existing images to print or poster resolution, where the 256 to 512MP output ceilings on paid plans give genuine headroom for large formats.
- Cleaning up ecommerce product shots, with background removal and enhancement bundled into the paid tiers rather than sold separately.
- Restoring old or damaged photos through a dedicated mode and a face enhancer, which is a distinct use case from routine upscaling.
- A predictable, no-surprise cost model: one image equals one credit, so a job's price is easy to estimate before you start.
- A genuinely free entry point of 10 credits with no credit card required, enough to judge output quality on your own images before paying.
- Restrained control via the Gentle and Prime modes, which helps avoid the over-processed look that afflicts single-setting upscalers.
The limitations to weigh
- Free-tier results carry a watermark, and watermark removal only comes with a subscription or a pay-as-you-go bundle, so the free plan is an evaluation tool, not a usable free service.
- Billing is per image, not per adjustment. If you upscale, then decide to re-run with a different mode, that is another credit, which adds up on iterative work.
- The 20-image batch limit constrains high-volume catalog work on the web interface; larger operations effectively push you toward the API.
- Input formats are limited to JPG, PNG, and WebP, so RAW files and other formats need conversion first.
- Unused credits roll over on personal plans only, not on business plans, and even personal rollover is capped, so credits are not indefinitely bankable.
- API pricing is not published; businesses evaluating integration cannot budget from the public site alone.
AI upscaling in general reconstructs plausible detail rather than recovering information that was never captured. That is worth stating plainly: on a heavily compressed or very small source, the model invents texture that looks convincing but is not a faithful record. For ecommerce and print that is usually acceptable and even desirable; for forensic, archival, or evidentiary work it is not. Set expectations by the source quality, not by the marketing multiplier.
Plans and what they cost
Pricing is subscription-based and credit-metered. The vendor publishes four tiers, with annual billing discounting the monthly rate.
| Plan | Credits / month | Price (annual) | Price (monthly) | Max upscale |
|---|---|---|---|---|
| Free | 10 (one-time) | $0 | $0 | 8MP |
| Starter | 100 | $9/mo | $12/mo | 256MP |
| Pro | 300 | $24/mo | $32/mo | 350MP |
| Max | 500 | $34/mo | $45/mo | 512MP |
Because one image equals one credit, the practical question is volume. A designer touching up a handful of images a week is served by Starter; a store owner refreshing a large catalog will burn through Pro or Max quickly and should model the monthly image count first. Credit accumulation caps of 600, 1,800, and 3,000 on Starter, Pro, and Max respectively mean you cannot hoard a light month's allowance forever, so a plan that roughly matches your steady workload beats over-buying. The vendor does not publish API or business pricing, so high-volume integration requires a direct conversation with them.
Who should consider it
The clearest fit is anyone who regularly needs larger, cleaner versions of photographs they already own: ecommerce sellers, print and poster producers, and people restoring family photos. The paid megapixel ceilings and the bundled background-removal and enhancement tools make it a reasonable single stop for those tasks. It is a weaker fit for occasional one-off jobs, where the watermark and subscription friction outweigh the benefit, and for anyone working from RAW or needing exact fidelity to the original capture. You can compare it against other options in the AI photo enhancer category or browse the wider tools directory before committing.
Bottom line
Let's Enhance does one thing competently and packages it sensibly: it enlarges and cleans images with modes that give you some control over how aggressive the processing is, priced on a transparent one-credit-per-image basis. The friction points are real, the watermark on free output, per-image rather than per-action billing, a modest batch cap, and undisclosed API pricing, but none of them are hidden. Start with the 10 free credits on your own hardest images, judge the output against your actual quality bar, then pick the tier that matches your monthly volume. For more on evaluating AI image tools, see our blog.
