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Let's Enhance vs Magnific AI

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
Let's Enhance — $12/mo vs $14.50/mo for Magnific AI
Free plan
Both have one
Public API
Both have one
Best fit
Let's Enhance: Enlarging product or portfolio shots for large-format print · Magnific AI: Retouchers enlarging product, architectural or portrait work where invented detail is acceptable
Trust score
About even — Let's Enhance 92, Magnific AI 92

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

Let's EnhanceUpscales, sharpens and restores photos for print-grade outputMagnific AIDetail-inventing upscaler that became Freepik's entire AI platform

Side by side

FactLet's EnhanceMagnific AI
CategoryImage Upscaling & RestorationImage Upscaling & Restoration
Pricing modelFreemiumFreemium
Starts at$12/mo$14.50/mo
Public APIYesYes
Trust score92 / 10092 / 100
PlatformsWeb, APIWeb, API
CompanyLetsEnhance, Inc.Freepik Company S.L.U.
Launched20172024
Last verifiedOct 16, 2026Oct 16, 2026

What our research says

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

Magnific AI

The upscaler is still the best in its class at inventing plausible detail, but you can no longer buy just the upscaler — since April 2026 the purchase is Freepik's entire creative suite wearing Magnific's name, on one shared credit meter.

Pros

  • Detail synthesis genuinely outperforms conventional upscalers on textured subjects
  • API access with credit-based usage is included on every paid plan
  • Plan credits sit in an annual pool rather than expiring monthly
  • One subscription now covers image, video, audio, 3D and a 250M-asset stock library

Cons

  • Freepik's rebrand means every existing review and listing describes a different product
  • Prices are served in local currency, so the USD figures need confirming per region
  • Month-to-month costs 25% more than the headline annual rate
  • The shared credit balance means video experiments quietly eat your upscaling budget

Which one fits

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

Choose Magnific AI if you need

  • Retouchers enlarging product, architectural or portrait work where invented detail is acceptable
  • Studios that also want image, video and stock in one subscription
  • Anyone upscaling AI-generated art to print resolution

Let's Enhance vs Magnific AI: the questions people ask

Is Let's Enhance cheaper than Magnific AI?

On published entry prices, Let's Enhance starts lower — $12/mo against $14.50/mo for Magnific AI. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does Let's Enhance or Magnific AI have a free tier?

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

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

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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