Video Humanizer forShort Clips.
Short-video mode runs locally in the browser. Upload a clip, inspect the preflight checks, and export an MP4 without sending the file to a backend.
Create a free account to use Video Humanizer
Humanization runs entirely in your browser via ffmpeg.wasm. A free account gives you 3 credits every week (one clip) and keeps your run history.
3 free credits every Monday. No card.
Photos and videos stay on your device · cloud text modes are labeledPipeline pillars
What runs under the hood
Full Codec Re-Encode
The clip is fully re-encoded with H.264 (libx264), so the source model's encoder fingerprint, GOP layout and quantization profile are replaced by a standard playback-grade stream.
Motion-Safe Micro-Transforms
A subtle horizontal flip, micro-zoom, slight rotation and re-centered crop shift the framing just enough to break exact-match and frame-hash fingerprints — with no visible change to the clip.
Container & Metadata Rebuild
The output container is rebuilt with plausible recording-device tags instead of the AI tool's identifying metadata.
Motion-Safe Color Grading
Optional soft, fade, warm, cool and contrast passes apply gentle, intensity-controlled brightness, contrast and color-balance shifts that read like natural in-camera processing.
Chroma & Aspect Normalization
Output is normalized to 4:2:0 chroma (yuv420p) with a clean aspect ratio — matching how phones and consumer cameras store footage. Additional refinement passes are applied internally.
Browser-Only Processing
Runs entirely on your device with ffmpeg.wasm in a Web Worker. Your video never reaches a server.
How it runs
Three steps, all local
Drop video
Drag any AI-generated MP4, MOV or WebM clip. Sources up to 4K, clips up to 30 seconds.
Local processing
ffmpeg.wasm runs the transform graph and a full re-encode in a Web Worker. Typical: 1–2× clip duration on a modern laptop.
Authentic export
Download a re-encoded MP4 with a standard codec profile and rebuilt container metadata.
Detector signals
Before vs. after — detector signals
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Encoder fingerprintAI-tool single-passStandard libx264 re-encode
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Frame / hash matchExact match to sourceBroken by micro-transform
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Container metadataAI-tool fingerprintRecording-device-equivalent
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Chroma samplingTool defaultNormalized 4:2:0
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Framing & geometryUntouchedFlip / lens & perspective / crop
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Frame detailGenerator-nativeRe-rendered through an internal resample
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Frame cadenceGenerator rate (often 24 fps)Phone-standard 30 fps
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Color profileFlat syntheticGentle in-camera grade
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Audio trackGenerated sound, watermark intactResampled + re-encoded, or removed
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Sensor noiseAbsent — model output is cleanPer-frame grain + fixed pattern
FAQ
Common questions
Which AI video models does this handle?
Sora, Runway Gen-3, Pika, Kling, Luma — anything that exports a standard MP4 / MOV / WebM. The pipeline is model-agnostic: it decodes the clip and re-encodes it with the transform graph applied.
Does it work on iPhone HEVC clips?
HEVC sometimes fails inside browser decoders. If a clip refuses to load, transcode to H.264 MP4 first — any free converter works.
What's the maximum clip length?
Up to 30 seconds. Sources up to 4K are accepted and downscaled to a 1080p-class export for a stable in-browser encode. Longer clips are on the roadmap as the encoder is optimized.
Is the audio touched?
Yes, by default. Models like Veo 3 and Sora generate the soundtrack alongside the picture and embed an inaudible watermark in it, which is read independently of the frames. The default "Rebuild audio" mode resamples through an intermediate rate, applies a randomised EQ nudge and re-encodes to AAC — that changes the signal but is not a guaranteed removal. "Remove audio" drops the track and is the only reliable option; "Keep original audio" skips the rebuild pass, so the watermark survives.