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Magnific AI vs neural.love

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. Magnific AI publishes a starting price ($14.50); neural.love does not. Both have a free tier. Both ship a public API.

Magnific AIDetail-inventing upscaler that became Freepik's entire AI platformneural.lovePhoto and video restoration plus generation on shared credits

Side by side

FactMagnific AIneural.love
CategoryImage Upscaling & RestorationImage Upscaling & Restoration
Pricing modelFreemiumFreemium
Starts at$14.50 month—
Public APIYesYes
PlatformsWeb, APIWeb, API
CompanyFreepik Company S.L.U.Neural Love OÜ
Launched20242020
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

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

neural.love

Come here for restoration and upscaling of old material rather than for generation, which is where this team has been strong since its archival film work. For new image creation, Krea or Magnific will give you noticeably better output per credit spent.

Pros

  • Upscaling and colorization are the original specialty and still the strongest part
  • Single credit balance spans subscription allowance and one-off top-ups
  • Public API with reference documentation for automated pipelines
  • Free public-domain image library alongside the paid tools

Cons

  • Prices and credit rates are not readable without loading the app, which makes budgeting awkward
  • Generation quality sits behind current image-model front-runners
  • Credits are spent per job, so unsatisfying runs still cost you
  • Small team relative to competitors, so feature pace is uneven

Which one fits

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

Choose neural.love if you need

  • Restoring, upscaling and colorizing archival photos and footage
  • Cleaning up low-resolution assets before print or video use
  • Batch enhancement automated through the API
  • Users who want one credit pool spanning several media tasks

More comparisons

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