Core Feature
Semantic Video Search
Describe any moment in plain language and ShotAI finds matching shots across your entire library in under 300ms. No manual tags, no keywords — just plain language search powered by OmniSpectra.
Natural Language Queries
Type what you see in your mind — "wide establishing shot of a city at night, moody atmosphere" — and ShotAI returns matching shots ranked by visual and semantic relevance, regardless of tags or filenames.
Sub-300ms Retrieval
Powered by OmniSpectra's approximate nearest-neighbor vector search, results appear as you type — even across libraries with tens of thousands of indexed shots.
Multimodal Understanding
OmniSpectra processes video, audio, and text simultaneously, creating a unified semantic representation that captures visuals, spoken words, camera movement, and emotional tone in a single vector.
Shot-Level Precision
A 2-hour interview becomes hundreds of searchable units. Search returns the exact shot — not the file that contains it somewhere. No more scrubbing through hour-long timelines.
Multilingual Search
Search in English, Chinese, or any supported language. OmniSpectra's visual semantic search is language-independent — it understands what's happening visually regardless of spoken language.
Zero Manual Tagging
Import your footage and search immediately. ShotAI auto-indexes every frame from actual visual content — not from human descriptions. A completely untagged library is fully searchable.
What You Can Search For
Semantic search understands a wide range of visual and contextual dimensions.
Visual Composition
Shot framing, subject and action, background and environment — from "extreme close-up of an eye" to "forest path, dappled light".
Cinematic Attributes
Camera movement, lighting quality, depth of field — "slow dolly forward", "golden hour backlight", "shallow focus, blurred background".
Mood and Tone
Emotional qualities like "tense, close quarters, anticipation" or "joyful, celebratory, outdoors". Combine multiple dimensions in a single query.
< 300ms
Search latency across tens of thousands of shots
Top recall rate
Exceeds TwelveLabs Marengo 2.7 and Amazon Nova on professional video benchmarks
Shot-level
Indexes individual shots, not clips or scenes
Semantic Search vs. Traditional Approaches
Keyword Search
Only finds what someone already labeled. "Exterior, city" won't match "urban establishing shot, dusk". Synonyms and visual qualities are invisible.
Manual Tagging
Accurate but expensive. ~10 hours of footage per editor per day. Full coverage is practically impossible, and tags miss the feel, energy, and light.
Semantic Search
Zero manual input. Understands footage from actual visual content, not human descriptions. Your entire library is searchable the moment indexing completes.
Workflow Integration
- Preview any shot in the results panel before selecting
- Select multiple shots from a single search to build a rough assembly
- Export to Premiere Pro, DaVinci Resolve, or Final Cut Pro via EDL or FCPXML
- Discover visually and semantically similar shots from elsewhere in your library
- Save searches as Smart Collections that update automatically with new footage
How It Works
Import Your Library
Drag and drop folders or connect your existing media storage. ShotAI indexes footage locally without uploading to the cloud.
AI Analyzes Every Shot
OmniSpectra processes visual content, audio, camera movement, and composition to build a rich semantic index of every shot — in real-time.
Search and Discover
Type natural language queries and instantly see ranked results. Export shots directly to your editing timeline.
Frequently Asked Questions
Does semantic search work without any tags or metadata?
Yes. Semantic search operates entirely from AI-generated embeddings of the video content itself. No manual tags, filenames, or metadata fields are required.
How does ShotAI handle footage in multiple languages?
OmniSpectra's visual semantic search is language-independent — it understands what's happening visually regardless of the spoken language in the footage.
What happens to search performance as my library grows?
ShotAI uses approximate nearest-neighbor vector search, which scales efficiently. Latency remains under 300ms for libraries up to tens of thousands of shots.
Can I search across multiple projects simultaneously?
Yes. All indexed footage across all projects is searchable from a single query unless you explicitly scope a search to a specific library.