AI video upscaling built for real restoration
Upscale to 1080p, 2K, or 4K, add frame interpolation, and process single files to batch folders — with transparent pricing and API access.
Diffusion-based upscaling that goes further
Most video upscalers run a per-frame ML model — fast, but limited.Enhava uses a diffusion pipeline that rebuilds detail across frames, producing stronger temporal consistency and restoration-grade output at resolutions and durations other tools can't match.
Up to 4K output
Enhava supports fixed 1080p, 2K, and 4K output profiles.
No duration limits
Process full-length videos, not just 5-minute clips. Long-form and batch jobs are first-class.
Lower cost per job
Transparent credit pricing that undercuts per-minute subscription models. Preview cost before every render.
How Enhava compares
Against Topaz (diffusion-based) and typical per-frame ML upscalers.
| Feature | Enhava | Topaz | Per-frame ML |
|---|---|---|---|
| Model architecture | Diffusion-based | Diffusion-based | Per-frame ML |
| Temporal consistency | Yes | Yes | Limited |
| Max output resolution | 4K | 4K | 4K |
| Video duration limit | None | ~5 min | Varies |
| Batch folder processing | Yes | Limited | Limited |
| Frame interpolation | 2× / 4× | 2× / 4× | No |
| API access | Yes | No | Varies |
| Credit-based pricing | Yes | No | No |
| Cost preview before render | Yes | No | No |
Everything for restoration-grade upscaling
Use it your way
Web app
Upload, preview the credit cost, render, and download — all in the browser.
API
Submit jobs programmatically, batch folders, and build your own enhancement workflow.
Common questions
Start restoring better video today
100 free credits when you sign up. See what your job costs before you render.