AI Video Search for News & Broadcast Archives

Broadcast organizations sit on decades of irreplaceable footage that's effectively unsearchable. Archives exist, but finding specific shots means knowing exactly where to look — or spending hours scrubbing through tapes and files. ShotAI changes this equation by making every shot in your archive findable with natural language search.

The Archive Problem in Broadcast

News organizations and broadcasters have a unique asset challenge:

• Decades of footage accumulated over years of daily production
• Inconsistent metadata from different eras, systems, and organizational approaches
• Time pressure when breaking news requires pulling relevant archive footage in minutes, not hours
• Monetization potential locked in archives that are too disorganized to license efficiently

Traditional archive search depends on:

• File names someone chose years ago
• Tags someone added (or didn't)
• Folder structures that made sense at the time
• Institutional knowledge that leaves when employees do

When the archive metadata is incomplete — and it always is — footage becomes invisible. "If I can't find it, it doesn't exist."

How ShotAI Works for Broadcast

ShotAI makes archives searchable by understanding what's actually in the footage — not depending on what someone wrote about it years ago.

1. Index Your Archive

Point ShotAI at your archive storage — MAM systems, LTO libraries (when mounted), NAS, cloud storage. No transcoding or uploading required.

2. AI Analyzes Every Shot

Two models work through your footage:

• OmniSpectra creates semantic embeddings that understand visual content, mood, and meaning
• OmniCine identifies professional cinematography: shot sizes, camera movements, lighting conditions, composition

This runs automatically. A decade of archive footage becomes searchable without manual intervention.

3. Search Like You Think

Now your archive responds to natural language:

• "exterior wide shot, government building, protesters"
• "press conference, politician at podium"
• "aerial city shot, nighttime, downtown"
• "weather footage, flooding, residential"
• "stadium crowd celebration"

Results return in milliseconds with relevance-ranked shots from across your entire archive.

4. Export to Production

Found what you need? Export directly to your NLE for inclusion in today's package. Search to timeline in under a minute.

Broadcast Use Cases

Breaking News

A story breaks and you need relevant archive footage now — not in two hours after someone searches through logs. ShotAI returns matching shots across your entire archive in seconds.

"Police activity, downtown, nighttime" — immediate results from years of coverage.

Historical Packages

Anniversary coverage, retrospectives, and historical context pieces require pulling footage from deep archives. ShotAI makes decades of footage searchable without depending on legacy metadata.

Archive Licensing

Footage licensing is a revenue stream — if buyers can find what they need. ShotAI lets licensing teams search archives semantically, surfacing footage that would never appear in keyword searches.

Compliance & Legal

Legal review sometimes requires finding specific footage quickly. "Interview with [executive], office setting" becomes a searchable query rather than a multi-day archive dig.

B-Roll Libraries

Establishing shots, city footage, weather footage, generic coverage — B-roll libraries are only valuable if editors can find what they need. ShotAI makes B-roll discoveries instant.

Integration with Existing Systems

MAM/DAM Integration

ShotAI can index footage from existing MAM systems without replacing your infrastructure. It acts as a search layer on top of your current architecture.

Proxy Workflows

For archives on cold storage, ShotAI can index against proxies and reconnect to masters for final delivery.

Rights Management

ShotAI's search results can be filtered or tagged according to your rights management workflow. Indexed footage maintains links to your existing metadata systems.

Enterprise API

ShotAI Enterprise offers API access for integration with existing broadcast workflows, newsroom systems, and MAM platforms.

What Broadcast Teams Say

> "We have 40 years of archive footage. The metadata from the 90s is basically useless. ShotAI lets us actually find things from before our current MAM system existed."
> – Archive manager, regional news network

> "On breaking stories, being able to search 'flood damage residential neighborhood' across our entire archive and get results in 5 seconds has changed how we use historical footage."
> – News producer

Key Features for Broadcast

| Feature | Why It Matters |
|---------|----------------|
| Natural language search | Search how you think, not how someone tagged it |
| Shot-level indexing | Find specific shots, not just clips |
| Legacy footage support | Works with footage from any era |
| Sub-second search | Breaking news deadlines don't wait |
| Local-first option | Sensitive content stays in your facility |
| MAM integration | Extends existing infrastructure |
| Multi-format support | Handles whatever your archive contains |

Handling Sensitive Content

Broadcast archives often contain sensitive material:

• Unaired footage
• Interview outtakes
• Legally contested material
• Footage under ongoing litigation holds

ShotAI's local-first architecture keeps original footage on your infrastructure. For organizations with compliance or confidentiality requirements, this architecture often determines whether AI search is even possible.

Pricing for Broadcast Organizations

Pay-as-you-go: $0.07 per minute of indexed footage. For a 10,000-hour archive: approximately $42,000 one-time indexing cost.

Enterprise: Volume discounts, multi-facility licensing, private deployment options, custom model training for news-specific content.

Compare to: years of archive footage remaining effectively unsearchable, or the cost of manual archive logging projects that never get completed.

Archive Monetization

Unlocking archive value:

1. Internal accessibility: Editors can actually find and use archive footage in daily production
2. Licensing efficiency: License sales team can search archives semantically, finding footage to offer clients
3. Historical packages: Anniversary and retrospective content becomes easier to produce with searchable archives
4. Completeness: Footage that was "lost" in poorly organized archives becomes findable again

For organizations treating archives as assets rather than storage costs, ShotAI represents a shift from "footage we can't find" to "footage we can use."

Frequently Asked Questions

Can ShotAI index footage on LTO/tape archives?
Yes, when mounted and accessible. Index against mounted tapes or proxies; remount originals for export when needed.

Does this replace our MAM system?
No. ShotAI adds a semantic search layer; it doesn't replace asset management, rights management, or storage infrastructure.

How does it handle footage with no existing metadata?
That's the point. ShotAI's AI understands visual content regardless of whether anyone ever tagged it. Footage with zero metadata becomes as searchable as thoroughly logged material.

What about footage in obsolete formats?
If you can play it, ShotAI can index it. Format transcoding happens in your existing workflow; ShotAI works with whatever accessible files you have.

Can multiple facilities share an index?
Enterprise deployment options include centralized indexing with distributed access. Contact sales for multi-facility architectures.

Getting Started

1. Contact ShotAI for enterprise assessment
2. Pilot with subset of archive footage
3. Evaluate search quality against your actual queries
4. Scale to full archive indexing
5. Integrate with existing production workflows

For broadcast organizations with archive challenges, ShotAI offers pilot programs to demonstrate value before full commitment.

ShotAI is built for organizations that have more footage than they can search. Broadcast archives are among the most challenging — and most valuable — use cases.

Contact: [email protected]