# Cleaning OpenAI GPT Image 2 and Google Veo 3 Provenance Headers Locally

Production studios and marketing teams working with frontier image and video models often need clean master files that pass strict enterprise DAM and ad-network ingestion rules. Using [GPT Image 2 C2PA manifest and XMP provenance remover](https://aimetadatacleaner.pro/gpt-image-2-metadata-cleaner) alongside [Google Veo 3 MP4/MOV video metadata scrubber](https://aimetadatacleaner.pro/veo-3-metadata-cleaner) strips generator container tags in milliseconds.

## Container-Level Hygiene for AI Video and Stills

### Handling ISOBMFF Video Atoms and Image Superboxes
- **GPT Image 2 Exports**: Strips embedded C2PA JUMBF superboxes (`caBX`/`c2pa`) and XMP provenance trees from PNG and WebP images.
- **Veo 3 Video Clips**: Cleans `uuid`, `udta`, and `meta` provenance atoms from MP4 and MOV containers without transcoding the video or audio streams.

### 100% Client-Side Privacy
High-resolution commercial campaign files never leave your workstation—all binary parsing happens locally inside your browser tab.

## Production Pipeline Steps

1. Load your GPT Image 2 stills or Veo 3 video clips into the local browser tool.
2. Verify the detected provenance manifests in the inspection panel.
3. Export the lossless, sanitized master files to disk.
