Extract
Detect, read, and locate what matters across images, video, audio, documents, and spatial sources.
A CONTEXTFORMERS™ SOLUTION
Media Intelligence
Formerly VizmoAI
AI-powered media intelligence for broadcast, documentary, and licensing teams. Search thousands of hours through faces, voices, dialogue, location, and visual context. Find anyone, anywhere, any moment.
See Media Intelligence on your archive Patent pending
Five Search Modalities
Face identity, scene semantics, OCR text, spoken word, and custom landmarks — queried simultaneously with natural language.
THE ENGINE
One engine underneath.
The same four steps run underneath every application. What changes between them is the source material and the output schema, not the intelligence in between.
Form context
Connect detections to the customer's own people, assets, places, terminology, and source evidence.
Validate
Confidence, cross-source corroboration, and human review before anything is treated as fact.
Deliver
Structured output into search, GIS, asset systems, APIs, and the workflows already in use.
Trust runs through every step: privacy, governance, provenance, confidence, and human review.
17,000+Hours Indexed
20TB+Processed
<5 secSearch
6Major Productions
01Faces02Dialogue03On-screen text04Location05Context
MEDIA INTELLIGENCE DEMO
Searching a 17,000+ hour broadcast archive by face, voice, dialogue, and visual context — demonstrated by Zoey Tur on the NewsMedia Films collection.
This recording was captured when the product was called VizmoAI. The platform is unchanged — only the name is now ContextFormers Media Intelligence.
THE PROBLEM
Every video archive holder faces the same wall.
Broadcast archives hold irreplaceable footage. Finding a specific person, location, or spoken moment buried in thousands of hours is either impossibly slow — or requires years of manual tagging that never gets done.
Cloud AI platforms (Google, AWS, Azure) can only recognize globally famous celebrities. They cannot learn the people who make your archive unique: local officials, witnesses, sources, talent, or your organization's own subjects.
No platform stores role context. Knowing that a face belongs to "the defense attorney in the Smith trial" is as important as a name — yet no competitor captures this.
Every cloud solution sends your audio and video to external servers. For archives holding confidential source interviews and unreleased testimony, that is a professional disqualifier.
True multi-modal search does not exist as a single path. Finding footage by who appears, what is said, what is visible, and what is happening visually requires stitching together separate API calls with custom code.
MEDIA INTELLIGENCE CAPABILITIES
Searching what your archive actually contains.
01. Operator-Defined Identity
A local, modifiable index of your organization's unique subjects. Any archivist can register any person or location directly from footage, without relying on generic celebrity cloud models.
Role Context MattersFind "the defense attorney in the Smith trial" just as easily as a name.
02. Secure, Controlled Processing
Your content is processed under tenant isolation on every deployment model. Model use, retention, and data handling terms are set per engagement and written into your agreement.
Built for SensitivityA professional requirement for confidential source interviews, unreleased testimony, and sensitive editorial content. Dedicated single-tenant, on-premises, and air-gapped deployment are available for archives that need them.
03. Frame-Level Precision
Every result returns the exact frame, not just a video title or a timestamp range. Archivists jump directly to the moment a person appears, a word is spoken, or a location is recognized.
04. Patent-Pending Fusion Engine
Face identity, visual semantics, spoken word, and on-screen text are weighed together into a single relevance score — a result matching several signals ranks above one matching only one.
HOW IT WORKS
From raw footage to searchable archive in three steps.
Ingest
Upload your video archive. ContextFormers extracts frames, transcribes audio, and reads on-screen text within your chosen deployment model.
Index
Every face, scene, spoken word, and text overlay is indexed into a unified vector database. Operators register identities and landmarks directly from footage.
Search
Query all five modalities with natural language. Results return the exact frame, not just a video title. Found in seconds, not hours.
WHO IT'S FOR
Built for organizations that manage large video archives.
News networks, broadcast studios, documentary houses, and streaming platforms need to find and license footage fast. Every search hour is a production cost.
News Archivist
Broadcast networks, wire services, local affiliates
- Find any person, scene, or spoken word across decades of archive in under 5 seconds
- Respond to editorial requests and licensing inquiries without manual tape review
- Search by face, spoken name, on-screen chyron, or visual description — in a single query
Stock Footage Librarian
Getty Images, Shutterstock, AP Archive, Reuters Connect
- Identify every face in your archive to accelerate rights clearance and licensing
- Match buyer visual descriptions to footage automatically
- Turn undiscoverable clips into searchable, licensable inventory — no manual tagging required
Documentary Researcher
Independent production houses, Netflix, Apple TV+, HBO documentary units
- Search multiple archive libraries with natural language — no keyword guessing
- Locate footage by scene content, identity, and spoken context simultaneously
- Cut research time and production costs; archive operators running ContextFormers become preferred vendors
PROVEN IN PRODUCTION
Powering search for Emmy-winning documentaries and major streaming productions.
All tested and validated on a broadcast archive of 17,000+ hours of historic Los Angeles footage.
LA 92
National Geographic
Discovered never-before-seen riot footage using AI scene descriptions and location recognition across decades of Los Angeles broadcast archives.
Whirlybird
Moxie Pictures
Enabled discovery of aerial footage spanning decades of LA history, surfacing material that manual methods had missed.
Let It Fall: LA 1982–1992
ABC News
AI search through 10 years of footage to document the lead-up to the 1992 riots — cross-referencing scene content, spoken word, and location recognition simultaneously.
Serial Killer Capital
Oxygen / NBC
Searched decades of crime scene footage and news coverage using AI content analysis to surface precise moments across a massive broadcast archive.
INPUTS & OUTPUTS
How Media Intelligence fits your stack.
PRIMARY INPUTS
- Broadcast video
- Historical film archives
- Audio feeds
- Newsroom assets
SYSTEM OUTPUTS
- Time-coded metadata
- Searchable transcripts
- Redacted video exports
- MAM/PAM integrations
TRUST & COMPLIANCE
Enterprise-grade data privacy by design.
For archives holding confidential source interviews, unreleased testimony, and sensitive editorial content — data privacy is a professional requirement, not a feature preference.
Tenant data isolation
Your data is isolated from every other customer's on every deployment model. No commingling, no cross-tenant access, no shared indexes.
Deployment scoped to your requirements
Shared cloud, a dedicated single-tenant instance, or deployment inside your own infrastructure. Which one fits depends on your data sensitivity and regulatory obligations — we scope it with you rather than assuming a default.
Automated PII redaction
Faces, screens, documents, and sensitive areas are detected and obfuscated at capture — a compliance gatekeeper, not just a feature.
Operator control
Your identity index, your landmarks, your configuration. Data handling, retention, and model-use terms are set per engagement and written into the agreement.
SECTORS IT RUNS IN
Where this lands.
Each sector page lists the roles it is built for and what they use it on.
GET IN TOUCH
See Media Intelligence on your archive.
Tell us about your archive — format, volume, and what you need to find. We'll scope a project and show you what ContextFormers delivers.
hello@contextformers.com