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Scanned, then enhanced on your device

Sharper, brighter, bigger

Phone footage is dark, compression eats the edges, and a clip shot at 720p has to fill a 1080p timeline. The enhancer measures a few frames first — light, contrast, texture — and then applies the passes that footage actually needs, in an order that does not make it worse.

Short answerLast edited October 31, 2026

The AI Video Enhancer improves a soft or noisy video with one preset: it upscales, denoises, sharpens and corrects brightness, contrast and saturation. Upscaling adds pixels, not detail, so a 480p source enlarged to 1080p still holds 480p of information.

How it works

1

Add the video

Open the footage that needs to look sharper.

2

Choose the enhancement

Set the upscale factor and how much noise to remove.

3

Download the result

Save the enhanced video.

The passes, in order

Order is the whole trick. Denoise before sharpening, because sharpening noise turns it into detail-shaped garbage. Scale before sharpening, because scaling softens the edges you just created. Encode last, once.

Low light rescue1920×1080 → 3840×2160
  1. 1Decodeevery frame, in memory1920 × 1080
  2. 2Denoisegrain and sensor noisehqdn3d 3
  3. 3Lightshadows lifted, contrast seteq + curves
  4. 4Scalelanczos, no softening3840 × 2160
  5. 5Sharpenedges only, after scalingunsharp 0.8
  6. 6Encodewritten on your deviceH.264 CRF 20
Result3840 × 2160About 2.8 MB per minute at CRF 20
2×Maximum upscale
0Frames uploaded
4Presets from the scan
H.264Output codec

Presets that match the problem

PresetWhat it changesFootage it suits
Sharpen & clarityunsharp on luma only, mild contrastWell-lit footage that looks soft after compression
Low light rescueBrightness up, contrast up, light denoise firstIndoor phone clips, evening shots, dark rooms
Rescue a soft videoStronger sharpening, 1.5× scaleOld recordings, out-of-focus footage, VHS transfers
Denoise a noisy videohqdn3d before anything else, no sharpeningHigh-ISO footage, grain, compression blocking
2× upscale for HDLanczos scale, light denoise, sharpen after720p material for a 1080p or 1440p timeline

Four frames are sampled across the clip and reduced to 160 × 90 pixels. From those the tool reads the average luminance (how dark the picture is), the standard deviation of luminance (contrast), and the average difference between neighbouring rows, which is a decent proxy for grain and compression noise. The recommendation follows those three numbers, not a model.

Before you encode
  • Watch a dark scene, not the daylight one
  • Keep denoise under 5 unless the grain is heavy
  • Sharpen after scaling, never before
  • Stay at 1× if the delivery is the same size
  • Compare the result with the original, side by side

Enhancer questions

Is a real AI model used?
The presets are chosen from measurements of your footage, and the processing itself is a classical pipeline (noise reduction, tone curve, Lanczos scaling, unsharp mask). That keeps the result predictable and runs without uploading a single frame.
How much can I upscale?
Up to 2×, capped at 3840 pixels on the long side. Beyond that the file size and the encoding time grow faster than the visible gain, especially on a phone.
Why is my export taking so long?
Every frame is decoded, processed and encoded again. Expect roughly real-time on a laptop for 1080p and two to three times that on a phone. Denoise and 2× upscaling are the expensive passes.
Will the audio be kept?
Yes, it is re-encoded to AAC at 128 kbps and stays in sync. The picture pipeline never touches the sound.
Can I enhance a vertical video?
Yes. The upscale factor applies to both sides, and the aspect ratio never changes, so a 1080 × 1920 clip becomes 2160 × 3840 at 2×.
Does it remove compression blocks?
Partly. Light denoising before sharpening softens the blocking, and lowering the sharpening amount stops it from being emphasised. Severe blocking from a very low bitrate cannot be fully removed without destroying real detail.

What Actually Improves a Bad Video

Every “enhance” button promises the same thing: the footage you have, looking like the footage you wanted. The honest version is narrower. A few specific defects can be reduced, in a specific order, and everything else is a trade.

Defect one: not enough light

Dark footage has two problems at once. The picture is dim, and the sensor compensated with gain, which brought noise. Lifting the brightness without touching the noise makes the noise brighter too, so the first pass must be a light denoise, then a tone curve, then a small amount of contrast to keep the blacks black.

Overdoing the lift is the classic mistake. Shadows that are pushed three stops turn grey and plastic. One stop, maybe a stop and a half, is the practical range.

Defect two: softness

Sharpness is local contrast at edges. An unsharp mask increases it by subtracting a blurred copy of the image from itself, which is why it also amplifies grain: grain is local contrast. The amount matters more than the radius — 0.6 to 1.0 is usually enough; 2.0 produces halos that look worse than the original softness.

Defect three: resolution

Upscaling is resampling, not magic. A Lanczos kernel reconstructs edges from the pixels that exist, which is genuinely better than a naive stretch, but no algorithm can recover detail that was never captured. Where upscaling does help is delivery: a 720p source in a 1080p timeline, or a platform that refuses anything below a threshold.

Defect four: compression

Low-bitrate video shows blocks in flat areas and mosquito noise around edges. A small amount of temporal denoising softens both; a large amount smears motion. If the source is very compressed, the better answer is often to keep the frame size and raise the output bitrate rather than to sharpen.

The order that works

Denoise, correct the tone, scale, sharpen, encode. Each step assumes the previous one has already happened: sharpening before scaling wastes detail on pixels that are about to be resampled, and denoising after sharpening fights the edges it just created.

Then compare. Put the original and the result side by side at 100% and ask which one you would rather watch. If the answer is the original, the preset was too strong — and that is a perfectly good result.

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Quick facts

  1. Upscaling multiplies the pixels, not the detail: a 480p source enlarged to 1080p still holds 480p of information.
  2. Sharpening and denoising work against each other, because every sharpening pass amplifies the noise the denoiser just removed.
  3. H.264 is the codec that made HD video practical on the web: it is decoded by every current browser and phone without a plugin.ITU-T
  4. Lowering the bitrate of H.264 throws away detail in fast movement first, which is why sport and confetti are the hardest scenes to compress.ITU-T
  5. WebAssembly became a W3C Recommendation in 2019 and lets a page run a full encoder such as FFmpeg without a plugin.W3C

Questions people ask

Can AI make a low-resolution video look sharper?
It can make a video look cleaner and more detailed to the eye, but it cannot recover detail that was never recorded. Upscaling a 480p video to 1080p gives a larger picture with the same information, so expect a smoother image rather than a sharper one.
What does video denoising do?
Denoising removes the grain and speckle that appear in dark or low-light footage. It works by averaging each pixel with its neighbours over time. Strong settings can smear fine detail, so use the lightest setting that removes the noise.
Does enhancing a video make the file bigger?
Usually, yes. A higher resolution has more pixels to encode, so the file grows unless you lower the bitrate. Choosing a lower target bitrate keeps the size down, at the cost of some fine detail.

What this page is about

  • H.264 / AVC

    The video codec standardised by ITU-T as H.264 and by ISO/IEC as MPEG-4 AVC, decodeable by every current browser.

  • WebAssembly

    A binary instruction format for the browser, standardised by the W3C, that runs code compiled from C, C++ or Rust at near-native speed.

  • Web Audio API

    The W3C API that builds an audio graph in the browser and can render it faster than real time with an OfflineAudioContext.

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