Let's Enhance Review: Dependable Output, Subscription Strings Attached
Fair is fair: Let's Enhance is a legitimate, actively maintained upscaler. Its faithful enlargement is consistently rated near the top for product photography and print prep, reviewers note it recovers fine texture like hair strands well, the ceiling reaches 16x and 512 megapixels on the Max tier, and its human support has a genuinely good reputation for refunds and pausing memberships. The team keeps shipping, most recently a conversational Chat Editor and headshot generation.
The recurring complaints cluster around the business model rather than the pixels. Every image on the free tier comes back watermarked, JPG only, and capped at 8 megapixels, so you cannot properly evaluate quality before paying. Subscription credits roll over only up to six times your monthly refill, and if you cancel, your remaining balance disappears unless you email support within six months and resubscribe. Trustpilot reviews describe billing surprises on annual renewals, and users report a bug where transparent images get a black background. None of this makes it a bad tool; it makes it a tool you have to stay subscribed to on its terms.
Where Let's Enhance Came From, and Where It Is Going
Let's Enhance launched in 2017, built by a Ukrainian team, and was one of the first AI upscalers ordinary people could use in a browser: no GPU, no command line, at a time when the alternative was compiling research code. That head start earned it a loyal e-commerce and print user base. The company's center of gravity has since shifted toward Claid.ai, its B2B platform selling image-processing APIs to marketplaces and brands, with the consumer app increasingly the retail shopfront for that engine. That is a reasonable business strategy, but it explains the pattern users notice: B2B-grade reliability and support on one hand, and consumer-side friction like watermarked trials and cancellation credit loss on the other. You are buying from a company whose best customer is not you.
Which Tool for Which Job: a Buyer's Matrix
The two products overlap on faithful enlargement and diverge everywhere else, so the right choice depends on what your week actually looks like:
| Your workload | Let's Enhance | Upsampler |
|---|---|---|
| E-commerce product photos at volume | Strong, its home turf | Precise Upscale plus an API with never-expiring credits |
| Print prep and POD listings | Strong faithful enlargement | Equal on fidelity; see the print-on-demand guide for sizing recipes |
| AI art and soft renders | Enlarges the softness faithfully | Creative Upscale regenerates real detail |
| Portraits with plastic or over-retouched skin | No tool for this | Creative Upscale with face preservation |
| Occasional bursts, idle months between | Subscription keeps billing | One-time credits wait indefinitely |
| Billboard-scale files beyond 100 MP | Max tier reaches 512 MP | Capped at 100 MP |
The print-on-demand and social rows have dedicated deep dives: the print-on-demand upscaling guide covers DPI targets per marketplace, and the social media enhancement guide covers platform compression.
512 Megapixels Sounds Impressive. Here Is What You Need.
Headline resolution is the easiest spec to market and the least useful to buy. At 300 DPI, the standard for prints viewed at arm's length, an A3 poster needs about 17 megapixels and a large 24 x 36 inch poster about 78. Formats bigger than that, trade-show banners and billboards, are printed at 150 DPI down to 15 DPI because viewers stand meters away, so their pixel budgets collapse: a 10-foot banner at 100 DPI is still under 90 MP. Upsampler's 100 MP ceiling therefore covers essentially every real print job, while 512 MP output mostly produces half-gigabyte TIFFs that printers downsample anyway. If you have a genuine niche need beyond 100 MP, Let's Enhance's Max tier serves it, and that is a fair reason to pick it; just check the arithmetic before paying $45/month for headroom you may never use.
Two Reliable Upscalers, One Big Capability Gap
Let's Enhance established itself as a dependable web-based upscaler: clean interface, faithful enlargement, sensible credit plans. If all you ever do is enlarge decent photos, it works. The gap appears the moment an image needs more than enlargement. A soft AI render, a portrait with plastic-looking skin, a photo with an object you want gone: faithful upscaling makes these bigger, not better.
Upsampler covers both halves of the job. Precise Upscale (SeedVR2 / GAN) matches Let's Enhance's faithful enlargement, sharpening and denoising while preserving the original. Creative Upscale (Flux or Stable Diffusion) then goes where fidelity-only tools cannot: regenerating the image at higher resolution with new, realistic detail, from skin texture in portraits to surface materials in product photography. Add inpainting and multiple top image generators, and one platform replaces the upscaler plus the editor plus the generator.
Where Let's Enhance Still Wins
Credit where due: Let's Enhance supports enormous 512 megapixel output on its Max tier, five times Upsampler's 100 megapixel ceiling, which matters for billboard-scale print work. Its $9/month annual Starter plan undercuts Upsampler's $15/month subscription if you commit for a year, its credit rollover while subscribed is more generous than most rivals, and its support team has a strong reputation. If your workload is purely high-volume faithful enlargement of clean photos and you stay subscribed continuously, it remains a fair choice. The moment your images need creative repair, texture, or editing, or you upscale in bursts and resent losing credits when you cancel, the comparison tilts the other way.
Switching Without Losing Your Workflow
Migration is straightforward because the faithful path is one-to-one: what you ran through Let's Enhance, you run through Precise Upscale with the same expectations and up to 100 megapixels of output. From there, experiment with what was previously impossible. Try a low-creativity Creative Upscale pass on your softest photos, use Image Edit to clean up distracting elements before enlarging, and test everything first on the free no-signup upscaler. Developers can port batch pipelines to the upscaling API with pay-as-you-go credits instead of monthly commitments.
Shortlisting More Than One Alternative?
Let's Enhance shoppers usually compare across camps: against Topaz Gigapixel if desktop software is on the table, against Magnific if the appeal of creative detail generation is growing on you, and against the open-source ESRGAN stack if free-with-a-GPU sounds tempting. Each page uses the same comparison-table format as this one, so the trade-offs line up cleanly.