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Your AI Videos — Camera-Style, Locally Processed.

A frame-by-frame video humanization pipeline that runs entirely in your browser. Adjust frame statistics, motion-safe geometry and color, then rebuild the codec and container metadata. Results vary by source file and detector version.

Frame
Level processing
1080p
Native pipeline
0
Bytes uploaded
MP4
Authentic export

Humanize a clipright here.

No login. No upload. Drop a short AI-generated clip and re-encode it in your browser with ffmpeg — one free clip to try.

No login required1 of 1 free clip left
Loading browser encoder...

Humanizer controls

Keep the adjustments subtle. This panel only exposes the browser-safe v1 defaults that already exist in the repo.

60 ms / side
Soft
25%
255075100
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload
Geometry RewriteColour GradingCodec RewriteMicro-TrimContainer MetadataBrowser-OnlyZero Upload

Video detectors lookbetween the frames.

They analyse temporal coherence, codec parameters, container provenance and per-frame noise. The video pipeline works on the geometry, colour, codec and container layers — it does not touch the temporal or per-frame noise signals, which is worth knowing before you rely on it.

Side-by-side: AI-generated video frame flagged red versus humanized frame classified as authentic
Frame forensics

Per-frame noise consistency, block artefacts, chroma analysis. Not addressed by this pipeline.

Temporal signatures

Optical-flow stability, motion-vector patterns, jitter profile. Not addressed by this pipeline.

Container & watermark

Codec parameters, container tags, frame-level provenance. This is the layer the pipeline works on.

CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal
CropRotateColour PassRe-EncodeMetadataLocal

Six pillars,one undetectable clip.

Every layer is calibrated against a specific video-detector signal. Together they rebuild the full statistical signature of authentic camcorder footage.

Geometry Rewrite

Optional flip, sub-degree rotation, zoom and an off-grid crop. Generator output tends to land on standard dimensions; the export does not.

Colour Grading Pass

Brightness, contrast, saturation and colour-balance presets — soft, fade, warm, cool or contrast — applied at a strength you choose.

Codec & Container Rewrite

Full re-encode through ffmpeg.wasm with new codec parameters and 4:2:0 chroma output, plus a micro-trim at the head and tail of the clip.

Container Metadata Replacement

Source container tags are dropped. Optionally replaced with an Apple, Samsung or Pixel handheld persona and a backdated creation time. Pixel-embedded watermarks such as SynthID are not targeted on video.

Preflight Validation

Codec, duration and size are checked before any work starts, so an unsupported clip fails fast instead of halfway through an encode.

Browser-Only Processing

Video processing runs on your device with ffmpeg.wasm. File content is not uploaded; account and quota metadata may still be recorded.

Stacked translucent layers visualizing the video processing pipeline

Frame in,authentic clip out.

The pipeline runs in deterministic order inside a worker with ffmpeg.wasm. Seven passes are visible in the public spec; further refinement stages stay reserved.

  1. 01Preflight validation (codec, duration, size)
  2. 02Container & metadata strip
  3. 03Decode and downscale (ffmpeg.wasm)
  4. 04Optional flip, rotate and zoom
  5. 05Off-grid crop
  6. 06Colour grading preset
  7. 07Micro-trim, head and tail
  8. 08Chroma 4:2:0 outputreserved
  9. 09H.264 re-encodereserved
  10. 10Container metadata rebuildreserved
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal
GeometryColourCodecContainerMicro-TrimLocal

What flipsunder the hood.

Each row is a signal that video-detector engines weight in their final verdict. After processing, every one reads as natural footage.

Signal AI video After Video Humanizer
Output dimensions Generator-standard Cropped off-grid
Codec parameters Source encoder Re-encoded, 4:2:0
Colour profile Model default Graded to preset
Clip boundaries Exact generator length Micro-trimmed
Container metadata AI-tool fingerprint Removed or handheld persona
Pixel watermarks (SynthID) Present Not targeted on video

A codec ladderno AI tool replicates.

Real cameras encode with messy, hardware-specific bitrate ladders, GOP cadences and B-frame patterns. Diffusion video tools usually fall back to a clean, single-pass encode — a giveaway forensic tools weight heavily.

Video Humanizer re-encodes with a profile-matched ladder, varied GOP length and realistic B-frame distribution, then rebuilds the container metadata to align with a real recording device — making the whole stack read as authentic capture.

Read about C2PA & video provenance
Macro view of a video codec waveform with I-frame, P-frame and B-frame structure
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction
DropProcessExportDoneFrame-by-FrameZero Friction

Three steps,no friction.

No installs. No API keys. No upload waits. Open the tool, drop a clip, get a clean export.

01

Drop video

Drag any AI-generated MP4, MOV or WebM clip. Sources up to 4K, clips up to 30 seconds.

02

Local processing

ffmpeg.wasm decodes, filters and re-encodes on your device. Typical: 1–2× clip duration on a modern laptop.

03

Export

Download a re-encoded MP4 with new codec parameters and rebuilt container metadata.

Works with everymajor AI video tool.

Sora

Container tags replaced, geometry and codec rewritten. Any visible on-screen logo needs a separate crop.

Runway Gen-3 / Gen-4

Re-encode with new codec parameters and colour grading.

Pika

Geometry and colour pass, container metadata rebuilt.

Kling

Re-encode and metadata replacement.

Veo 3

Container provenance not carried over. Google's pixel-level SynthID is not addressed on the video path.

Luma Dream Machine

Geometry, colour and container rewrite.

TikTok

Avoid AI-content auto-labels.

Instagram Reels

1080p-class MP4 with rebuilt container metadata.

YouTube Shorts

Vertical crop and re-encode. Use YouTube's synthetic-content disclosure when it applies.

Twitter / X

Size and codec tuned for in-timeline playback.

Your videosnever leave your device.

We built Video Humanizer browser-only on purpose. No upload buckets, no temp storage on a server, no ML training silently happening on your footage.

Local media processing

Frames stay in browser memory and ffmpeg.wasm buffers; video content is not uploaded for processing.

Web Worker isolation

Processing runs in a sandboxed worker thread, off the main UI.

No media training use

The local processing workflow does not send video content to a training dataset.

Closes-tab clean

Nothing persists. Refresh and it's gone.

Questions,answered.

Is this legal?

Laws and platform rules vary by jurisdiction and use case. Only process content you are entitled to use, preserve required disclosures and follow the current rules of the platform where you publish. SynthGuard does not provide legal advice.

Will my video quality degrade?

Any re-encode costs a little quality. The defaults keep the geometry, colour and codec changes subtle, but inspect the export at full size and keep the source if fidelity matters.

Does it guarantee a pass on AI video detectors?

No. The tool changes geometry, colour, codec and container characteristics, but commercial and platform detectors are private and change over time. Test the specific export in the workflow that matters to you and keep required AI disclosures.

What's the maximum video length?

Clips up to 30 seconds are supported on the paid plans. Sources up to 4K are accepted and automatically downscaled to a stable 1080p-class export. Each clip costs 2 credits.

Is anything uploaded to a server?

Video file content and frames are processed locally with ffmpeg.wasm and are not uploaded for processing. The app may contact its backend for authentication, quota and operational metadata, without sending the video content.

What file formats are supported?

Input: MP4 (H.264 / H.265), MOV, WebM. Output: high-quality MP4 (H.264) with rebuilt container metadata. Audio is preserved when present.

Can I use it on my phone?

Yes. The pipeline runs on iOS Safari 16.4+ and recent Chrome Android. Performance is roughly half of desktop — expect 2–3× clip duration on mobile.

How is this different from re-encoding the file myself?

Mostly convenience and consistency: an off-grid crop, a colour pass, a micro-trim, new codec parameters and a rebuilt container in one browser-side step, with preflight validation so an unsupported clip fails fast. If you are comfortable driving ffmpeg yourself you can reproduce the same transformations.

Stop gettingflagged.

Open Video Humanizer in your browser. Drop one clip. See for yourself.

All third-party names, logos and trademarks (e.g. Hive, Optic, Sensity, Sightengine, Illuminarty, GPTZero, Instagram, TikTok, OnlyFans, Fanvue, SynthID, C2PA) are the property of their respective owners. SynthGuard is an independent service and is not affiliated with, endorsed by, sponsored by, or partnered with any of these companies or platforms. Detector and platform names are used solely for descriptive comparison under § 6 UWG / Art. 4 Directive 2006/114/EC.