Skip to content
effecthub

ImgUpscaler vs Let's Enhance

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
ImgUpscaler — $9.90/mo vs $12/mo for Let's Enhance
Free plan
Both have one
Public API
Let's Enhance has one; not confirmed by us for ImgUpscaler
Higher Trust score
Let's Enhance — 92 vs 77 for ImgUpscaler
Best fit
ImgUpscaler: Ecommerce sellers sharpening low-res supplier product photos · Let's Enhance: Enlarging product or portfolio shots for large-format print

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

ImgUpscalerBrowser-based AI upscaler for photos, artwork and product shotsLet's EnhanceUpscales, sharpens and restores photos for print-grade output

Side by side

FactImgUpscalerLet's Enhance
CategoryImage Upscaling & RestorationImage Upscaling & Restoration
Pricing modelFreemiumFreemium
Starts at$9.90/mo$12/mo
Public APINot confirmedYes
Trust score77 / 10092 / 100
PlatformsWebWeb, API
Company—LetsEnhance, Inc.
Launched—2017
Last verifiedOct 15, 2026Oct 16, 2026

What our research says

ImgUpscaler

A cheap, no-install upscaler that is fine for web and social output and pointless for print or archival work. If you upscale regularly, Upscayl does the same job locally for free and Topaz does it far better for a one-off license fee.

Pros

  • Commercial use is allowed even on free output, which many free upscalers forbid
  • 24-hour deletion policy is stated explicitly rather than buried
  • $19.90 unlimited tier is aggressive next to per-credit competitors
  • Reimagine mode is a real creative-upscale option, not just a sharpening filter

Cons

  • Capped at 4x, so no path to the 8x-16x some rivals offer
  • Free tier is 50 credits and ad-supported
  • No developer API and no desktop app included — the Upscal desktop product is licensed separately
  • Ownership is not disclosed anywhere on the site; WHOIS is private

Let's Enhance

The safe browser-based choice when you need resolution for print and do not want to install Topaz or babysit a local upscaler; it is priced per image, so it punishes high-volume use.

Pros

  • Credit rollover up to six months' worth is more forgiving than the usual use-it-or-lose-it model
  • Distinct tools per job (sharpen, restore, unblur, upscale) instead of one catch-all slider
  • Documented API with separate enhancer and upscaler endpoints for production use
  • Running since 2017, so the model quality has had many iterations behind it

Cons

  • Free tier is 10 signup credits and stamps a watermark on output
  • One credit per image makes bulk catalogue work costly next to a one-off desktop licence
  • Top personal plan is 500 credits at $45/month, which is a low ceiling for agencies
  • Newer generative upscalers produce more dramatic detail on heavily degraded sources

Which one fits

Choose ImgUpscaler if you need

  • Ecommerce sellers sharpening low-res supplier product photos
  • Anime and illustration fans enlarging line art, where the model is tuned well
  • Occasional one-off enlargements where installing software is not worth it

Choose Let's Enhance if you need

  • Enlarging product or portfolio shots for large-format print
  • Restoring scanned or damaged family photos without desktop software
  • Teams wiring upscaling into a pipeline through the API instead of a UI

ImgUpscaler vs Let's Enhance: the questions people ask

Is ImgUpscaler cheaper than Let's Enhance?

On published entry prices, ImgUpscaler starts lower — $9.90/mo against $12/mo for Let's Enhance. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does ImgUpscaler or Let's Enhance have a free tier?

Both: ImgUpscaler has a free tier, and Let's Enhance has a free tier.

Which has a public API, ImgUpscaler or Let's Enhance?

Let's Enhance ships a public API, as of our last verification. A public API for ImgUpscaler is not confirmed by us — check its developer docs before you plan an integration.

More comparisons

Browse all Image Upscaling & Restoration →