AI Video Upscaler
Apply a model-based 2× upscale to supported short clips, then review the result for plausible detail, artifacts, and retained motion. Results vary with the source and runtime.
Real super-resolution
A neural network hallucinates plausible detail instead of just stretching pixels.
Per-run limits
Runs are capped at 8 seconds and 960px input to bound model inference work. Runtime varies by browser, device, processed frame count, and resolution.
On-device
Frames are processed in WebAssembly on your machine.
How to upscale a video
- Open the tool and add your video Select a compatible file for AI Video Upscaler.
- Review and adjust Run the 2× upscale on the supported clip, then review the output for artifacts and retained detail before downloading it.
- Export and download Review the exported result from AI Video Upscaler, then download it.
Frequently asked questions
How long does it take?
Processing time varies with frame count, resolution, browser capabilities, and device hardware.
Why only 2x?
2x is the current single-pass setting chosen to limit browser memory and inference cost. Each run caps the longest input side at 960px before producing output up to 1920px, so rerunning a larger result does not guarantee further enlargement.
Is audio kept?
When compatible passthrough is available, the source audio track is copied without audio re-encoding. Check the export for your input.
What's the maximum clip length and size?
Inputs are capped at 960px and 8 seconds per run to bound model inference work. Trim to a short section before upscaling.
Will it fix a blurry video?
It can add plausible learned detail and may look better than simple stretching, but it cannot reliably recover information that was never captured. Compression, motion blur, and focus errors can remain or be amplified.
How to verify a AI Video Upscaler export
Treat the page preview and the downloaded file as separate evidence. Use a representative clip, keep the untouched source, and record the result that the task actually requires before changing any control.
- Before processing, note the source container, video and audio codecs when known, duration, dimensions, frame rate, orientation, audio-track count, and intended destination. Also record the exact cut, crop, timing, visual correction, or extraction you expect. These observations create a baseline for comparing the export instead of relying on memory.
- Run a short representative sample first and change one setting at a time. Browser codec support, available memory, hardware acceleration, and input structure can affect which processing path is available. A successful preview for one sample shows only that observed case; it does not establish compatibility for every file with the same extension.
- Inspect the preview around the portions most likely to expose defects: the beginning and final frame, cut boundaries, rapid motion, fine text, faces, object edges, gradients, orientation changes, and any section where sound should align with a visible event. For model-assisted tools, look for missed regions, unstable masks, invented detail, or frame-to-frame drift.
- Open the downloaded file in a separate current player rather than reviewing only the in-page preview. Confirm that it starts and ends where expected, plays through without an unexpected stall, and has the intended duration, dimensions, orientation, frame rate, audio presence, and synchronization. Check the file again in the platform or editor that will consume it.
- Compare the exported clip with the untouched source at the same viewing scale and, when useful, matched playback volume. Look for unexpected crops, padding, stretch, softness, banding, halos, color shifts, temporal jumps, repeated or missing frames, and changes in file size or codec that matter to the destination. Decide whether any difference is acceptable for the stated task.
- If the result is missing, fails to play, or differs from the preview, first confirm that the source opens independently. Reload the page, retry with a small controlled sample, reset optional controls, and preserve the exact on-page message. Testing one controlled change at a time makes browser, input, setting, and destination failures distinguishable.
- Record the AI Video Upscaler URL, relevant settings, browser and device, date, source identity, output filename, and observed checks. Keep before-and-after files when the result matters. This record supports a reproducible comparison later and avoids treating a changed input, capability, or destination requirement as the same run.