AI Video Enhancer: Measured Before and After

What is an AI video enhancer, and how is BINAI's different?

An AI video enhancer takes a video you already have and tries to make it look and sound better: less grain, sharper edges, steadier picture, better light, cleaner sound. Many tools run the same treatment on every file and simply say it was enhanced. A clean 1080p clip run through a blanket filter often comes back softer and waxier than it went in.

BINAI's enhancer works the other way round. It measures first, decides what the file actually needs, does only that, and then measures again with the same code on the new file. If the new version does not score higher, BINAI keeps your original and says why. "Nothing needed doing" is a real answer, not a failure.

How does BINAI measure video quality?

The score is out of 100 and made of five parts, each shown with the measurement behind it:

• Detail (30% of the score): how sharp the picture is.
• Clean picture (22%): grain, compression blocks and banding in skies and gradients.
• Light and colour (14%): exposure, contrast and saturation.
• Steadiness (14%): camera shake and stutter.
• Sound (20%): loudness, peaks, dead air and background noise.

So a score is never just a number. It reads like "the detail is fine, the sound is too quiet and there is banding in the sky", which tells you what will change before anything is touched.

Which corrections can it make?

There are twelve possible steps, and only the ones your video needs are planned:

• Grain and sensor noise removed
• Compression blocks smoothed out
• Banding broken up
• Edges brought back
• Exposure and contrast opened up
• Colour brought back to life
• Camera shake taken out
• Motion made smooth
• Resolution raised
• Detail rebuilt by the upscaling model
• Sound levelled to what platforms play at
• Peaks pulled back under distortion

Ten of them have their own switch with three positions: Auto (the measurement decides), On (do it anyway) and Off (leave it alone). Resolution follows the size you pick, and the upscaling model has its own checkbox because it is the only step with a price.

The order matters, and BINAI handles it: noise is removed before anything is sharpened, because sharpening grain only makes it worse. Brightness is raised through contrast and gamma rather than a plain brightness lift, which avoids the milky look of a typical auto-enhance. All the free corrections run as one pass with a high-quality encode, so the file is not degraded by several re-encodes in a row.

Which preset should I pick?

• Measure and decide: the default. It does only what the file measures as worth doing, including nothing.
• Restore old footage: removes grain, blocking and banding and brings colour back. It asks for the upscaler when the picture is really soft.
• Phone clip for social: steadied, brightened and levelled, delivered at 1080p.
• Product and e-commerce: sharp and clean at up to 4K, with colour left honest so your product is not graded into a different one.
• AI-generated video: deals with the two things generated clips often have, repeated frames and softness.

You can deliver at 720p, 1080p, 1440p or 4K, and at the source frame rate or 24, 30 or 60 frames per second. Above the source rate, new frames are interpolated rather than repeated.

What does the AI upscaler add, and who has it?

Without a model, raising the resolution does not invent detail. It is still worth doing, because platforms encode a 1080p upload better than a 720p one. When a video is genuinely soft, the AI upscaler (Topaz's video upscaler) can rebuild detail that was never in the file.

The upscaler is available on the Business and Studio plans. It costs about 6 credits per second of video, and the amount is quoted before the job starts. If your balance is too low, you are told before anything runs. If the upscaler is unavailable for any reason, the free corrections still run and the report says the upscaler was skipped. See plans and credits.

Honest limits

• A badly out-of-focus or very low-resolution video can be improved, not rescued. The score after tells you how far it moved.
• Motion smoothing is the slowest step, so BINAI only plans it on its own for clips of 30 seconds or less.
• Enhancing does not fix the content itself. A slow opening, captions that disappear too fast or music you have no rights to are things the content check looks at, and the editor is where you change them.
• Running the same pass twice on the same file with the same choices is answered from the first result, not charged again.

What happens after the enhance?

The repaired video becomes a project in your library, with the score before and after. From there you can open it in the editor to trim it, add captions or text, and download it. Before posting, it is worth working through a social reach checklist: a clean, steady video with sound at the right level is easier to watch, which helps, but how far a post travels is always up to the platform. If you are preparing product footage, the guide to AI product videos covers what else makes them work.