AI Face Enhancer Video Online Restore Blurry Faces & Swap

Blurry and soft faces, compression blocks and smearing, noise from low light, and low-resolution faces that fall apart when the clip is shown larger. The enhancement pass deblurs, denoises, removes compression artifacts and enhances faces across every frame, then rebuilds the clip at a higher resolution.

Photo retouch apps work on one still at a time; this works on the whole video, every frame, in the browser with nothing to install. You pay per clip in credits: 1024p 10, 1536p 20 and 2048p 40 credits per 5 seconds of footage, clips up to 60 seconds.

Those are two families of face-restoration model: one tuned to keep a face recognisably the same person, one tuned to rebuild faces that are badly blurred. This page runs a single video-enhancement model instead, which sharpens and cleans the faces that are there rather than generating new ones, so it will not turn one person into another. It cannot invent detail that was never recorded: a face that is a few pixels wide stays a best estimate.

It is not meant to. The pass sharpens and cleans what the camera recorded; it does not swap or redraw faces. On very small or heavily damaged faces the model has to estimate detail, so check close-ups of people you know before you publish. To replace a face on purpose, use Video Face Swap instead.

Credits per 5 seconds of footage, by output size: 1024p 10, 1536p 20 and 2048p 40 credits. A short clip costs at least 15 credits, a full 60-second clip at the largest size 480. The exact total shows on the Generate button before you run, and a failed run refunds automatically.

Yes — digitise the tape first, then run the file. Noise, softness and compression from the transfer are exactly what the enhancement pass cleans up, faces included. Scratches and dropouts on the tape itself are only partly recoverable, and a face that was out of focus when it was filmed will look cleaner, not newly in focus.

Yes. Call recordings carry heavy webcam compression and low-light noise, which the pass removes while it sharpens the faces, so a testimonial or training clip looks deliberate rather than grabbed off a call.

It depends on the clip length and the output size you pick; larger sizes take longer. The run happens on hosted GPUs, so you can keep working and the finished clip appears in Your creations when it is done.

MP4, MOV and other common video formats, up to 60 seconds per clip. The output is a video at the size you picked.

Desktop enhancers are sold as a licence or a subscription and need a capable GPU. This runs in the browser with pay-per-clip credits, so there is nothing to install and nothing to pay when you are not using it.

It can clean up soft or smeared faces in a generated clip. It will not redraw a face the generator got structurally wrong; for that, regenerate the clip, or swap in a face with Video Face Swap.

Run the clip through the enhancer to remove blur and compression. It enhances what is there, so exaggerated caricature features stay exaggerated.

Yes. Digitise the tape while it still plays, keep the original file, and run a copy through the enhancer. Tape degrades over time, so the transfer is the part that cannot wait.

If a meme clip has real human faces that came out soft or blocky, the enhancer cleans them up like any other footage. Intentionally surreal features stay as they are.

That is two tools. Video Face Swap puts the face from your photo onto the person in the clip and keeps the body, motion and sound; then run the result through this enhancer if you want it sharper or larger.

A 60-second clip is 12 blocks of 5 seconds. At the largest size that is 480 credits; smaller sizes cost proportionally less (1024p 10, 1536p 20 and 2048p 40 credits per 5 seconds). The exact total appears before you run.

The enhancement works on the picture frame by frame and keeps the clip's length, so speech stays in sync with lip movement.

Yes, and it is a good order to work in: enhance first so faces read clearly at small phone sizes, then cut the clean clip into vertical shorts. Sharp faces survive cropping and platform compression far better than soft ones.

Some re-compression is unavoidable once a platform re-encodes your upload, but a cleaner, higher-resolution source gives the platform encoder more to work with, so faces hold up better after the second pass.