AI app for creatives · no coding needed
Invisible video watermark provenance workbench
Reduce ownership disputes and manual verification time while keeping footage usable.
Made for: Video producers, editors and rights teams protecting footage ownership
What it does for you
The problem
Shared and edited video loses proof of origin, and alterations are hard to detect before publication.
What it gives you
Reviewer-approved watermark and verification reports linked to each delivered file
What you give it
Licensed footageedit historyprovenance records
Build your own version of Video Seal, Meta Video Seal and more
One app with what these 3 AI tools do, yours to keep and change: Video Seal, Meta Video Seal, Recut.
Everything these tools do, in one app
- Invisible watermarking Embeds imperceptible watermarks into videos that remain invisible during normal viewing.Found in Video Seal, Recut
- Video authentication Verifies the originality and detects any alterations in video files.Found in Video Seal, Meta Video Seal
- Robust against manipulation Watermarks remain effective even after common video manipulations such as flipping and blurring.Found in Recut
- Temporal watermark propagation Reduces processing time while ensuring the watermark remains effective after video editing.Found in Recut
- Hidden message capability Allows incorporating a hidden message of up to 6 characters for extra provenance data.Found in Recut
- Video quality enhancement Uses AI algorithms to improve clarity and resolution of videos.Found in Meta Video Seal
- Speech and visual search Quickly pinpoints the moment a specific word is spoken or a visual element appears in footage.Found in Video Seal
- Similar shot identification Identifies similar shots within footage.Found in Video Seal
- Source monitor matching Matches source monitors for easier editing.Found in Video Seal
- Integration with editing software Works seamlessly within popular non-linear editors like Final Cut Pro, Premiere Pro, DaVinci Resolve, and Avid Media Composer.Found in Video Seal
- Local processing Runs directly on the user's device for fast performance and enhanced privacy.Found in Video Seal
- Multilingual support Supports multiple languages for speech and visual search.Found in Video Seal
- Batch processing Handles multiple videos simultaneously to save time.Found in Meta Video Seal
- Multiple video formats Supports various video formats for compatibility across platforms.Found in Meta Video Seal
- User-friendly interface Simplifies the enhancement and verification process for users of varying technical expertise.Found in Meta Video Seal
- Interactive demonstration Provides a demo interface to embed watermarks and visualize them with an X-ray slider.Found in Recut
- Open-source Open-source project backed by Meta FAIR, ensuring transparency and community support.Found in Recut
How it works, step by step
- Embed imperceptible watermarks into supplied video
- Verify originality and detect alterations in video files
- Keep watermarks effective after flipping, blurring and common edits
- Propagate watermarks temporally to reduce processing time
- Attach a hidden message of up to six characters for provenance
- Improve clarity and resolution with AI enhancement
- Search speech and visuals to pinpoint a word or element
- Identify similar shots within footage
- Match source monitors for easier editing
- Run inside common non-linear editors
- Process locally on the user's device
- Support multiple languages for search
- Batch process multiple videos
- Accept multiple video formats
- Provide a simple interface for varied skill levels
- Offer an interactive demo with an X-ray slider
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved watermark and verification report with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Invisible video watermark provenance workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Invisible video watermark provenance workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce ownership disputes and manual verification time while keeping footage usable. For video producers, editors and rights teams protecting footage ownership, convert licensed footage, edit history and provenance records into reviewer-approved watermark and verification reports linked to each delivered file. The benefit is a testable hypothesis, measured through verified files per review hour and disputes resolved after delivery; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed footage, edit history and provenance records, then follow this sequence: 1. Embed imperceptible watermarks into supplied video. 2. Verify originality and detect alterations in video files. 3. Keep watermarks effective after flipping, blurring and common edits. Resolve uncertain cases with qualified reviewers, approve reviewer-approved watermark and verification reports linked to each delivered file, and measure verified files per review hour and disputes resolved after delivery against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed codec and resolution set; final rights and provenance checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One fixed codec and resolution set; final rights and provenance checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed codec and resolution set; final rights and provenance checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: embed imperceptible watermarks into supplied video; verify originality and detect alterations in video files. Support the third module with operator review: keep watermarks effective after flipping, blurring and common edits. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Author-owned footage, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Footage intake and rights record, Editable watermark and verification preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central playback canvas, and a right-hand panel for provenance data, constraints and comments. Let users compare original and watermarked versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant timecode. Make the task-specific outcome reviewer-approved watermark and verification reports linked to each delivered file visible beside its evidence, review state and value baseline.
