neural.love
Verified Oct 16, 2026 ActivePhoto and video restoration plus generation on shared credits
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
One shared credit balance funds both subscriptions and pay-as-you-go packs; credits are spent per job, and the pricing page renders client-side so rates are not visible without loading the app.
Use tool ↗About neural.love
neural.love groups image and video work behind a single credit balance: upscaling, restoration and colorization of old footage and photographs alongside text-to-image generation and editing. Everything runs in the browser, with a published API for automated use and a free public-domain image collection sitting next to the paid tools. The same balance covers both subscription allowances and pay-as-you-go top-ups.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 16, 2026
Verified sources
- Positioned as browser AI tools for video enhancement, image generation and editingneural.love ↗
- Pricing combines subscriptions and pay-as-you-go credits on one shared balanceneural.love ↗
- Public API reference for automated processingdocs.neural.love ↗
- Neural Love OÜ, founded 2020, based in Estoniacrunchbase.com ↗
Is neural.love legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Mar 10, 2020 (6 years ago)Registry record (RDAP), registrar Cloudflare, looked up Sep 6, 2026
- TLS certificate
- Issued by Amazon, valid until Apr 19, 2027Seen in our own connection to the site on Oct 16, 2026
- Last checked
- Oct 16, 2026The site answered
- On the market since
- 2020The vendor's own material, read by us
- Operated by
- Neural Love OÜ, EstoniaOur research, card verified Aug 16, 2026
Pros & cons of 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
Best for
- 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
Not for
- Frontier text-to-image quality, where dedicated generators are ahead
- High-volume workflows where per-credit billing makes costs unpredictable
- Teams needing seats, roles and a shared workspace
Watch out: Every retry consumes credits and the pricing page is client-side rendered, so you cannot compare rates against rivals until you are already signed up.
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neural.love head-to-head
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