GENERATIVE VIDEO RESTORATION
Use Starlight Fast 2 for generative 1080p restoration, or upscale to 4K with Topaz Precision. Proteus is the faithful default for clean footage; Artemis MQ targets noise and compression. Every result is delivered as H.264.
The best AI video enhancer depends on the condition of the source, not only its resolution. A clean phone recording needs faithful video upscaling, while a blurry or heavily compressed clip may need reconstruction, denoising and sharper edges. AIEnhance.io uses three Topaz models for these different jobs.
TOPAZ AI
Choose Starlight for severely degraded, blurry or low-resolution footage where important detail is already missing. Its generative restoration can rebuild faces, textures and edges instead of simply enlarging pixels. Because it may create plausible new detail, it is less suitable for clean originals that must remain completely faithful.
TOPAZ AI
Proteus is the recommended choice for clean modern footage from a phone, camera or social platform. It upscales video while preserving the original appearance of faces, hair, clothing and background texture. Use it when you want a natural 4K result without aggressive generative reconstruction.
TOPAZ AI
Artemis MQ is designed for medium-quality video affected by compression, noise, softness or block artifacts. It combines denoising and sharpening with upscaling, making it useful for downloaded social videos, messaging-app clips and older compressed exports that need cleanup before delivery.
Resolution controls the output size; the enhancement model controls how the missing or damaged detail is treated. For the most natural result, start with Proteus on clean footage, use Artemis MQ for visible compression, and reserve Starlight Fast 2 for material that genuinely needs generative restoration.
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Choose an MP4, MOV, M4V or WebM file up to 60 seconds and 500 MB. Large files upload directly to temporary provider storage.
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AIEnhance.io reads the real duration, dimensions and FPS on the server, then shows the exact credit reservation.
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The selected Topaz model processes the job asynchronously. Return after a reload, preview the private result and download the H.264 video.
Reconstruct texture and definition in compressed footage instead of only stretching the original pixels.
Fit landscape, portrait or square footage into a 1080p or 4K target while preserving its aspect ratio.
A durable queue, signed webhook and polling fallback keep the render recoverable if you close or reload the page.
The output URL is never exposed directly. Authenticated streaming and Range requests provide preview and download access.
Use Starlight for soft low-resolution clips, Proteus when a clean source needs faithful 4K detail, and Artemis MQ for compressed or noisy footage. Generative restoration can invent plausible detail, so inspect Starlight results before accuracy-critical use.
At 30 FPS, Starlight 1080p and Precision 4K each cost 240 credits per started 10 seconds; Precision output that stays within 1080p costs 80. Higher FPS scales proportionally. Credits are atomically reserved and refunded on provider failure.
Source files expire after 24 hours and outputs after seven days. The raw fal URL stays server-side; preview and download requests verify the signed-in job owner and proxy the media with Range support.
1080p uses Starlight Fast 2 for generative restoration. For 4K, Proteus preserves clean source detail while Artemis MQ is tuned for noisy or compressed footage.
Yes. Choose 4K, then select Proteus for clean footage or Artemis MQ for noisy and compressed footage. The server calculates the largest supported scale up to 4Γ.
At 30 FPS, Starlight 1080p and Precision 4K each cost 240 credits per started 10-second block. A Precision result that stays within 1080p costs 80. Higher frame rates scale proportionally, and the exact charge is reserved before rendering.
Yes. AI Video Enhancer requires an authenticated account with an active subscription and enough credits for the complete render. Subscribers can also use top-up credits toward a video job.
Credits are reserved atomically before the provider starts. If submission or processing fails, the reservation is returned automatically and only once, even if the provider retries its webhook.
The raw provider URL stays server-side and the result is streamed only through an authenticated, owner-scoped AIEnhance.io endpoint. Input uploads expire after one day and finished results expire after seven days.
Choose a subscription, keep enough credits for the full render, and enhance your first clip with the right Topaz model.
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