Semantic Video &
Audio Search
Locate precise visual frames and specific audio events in hours of footage instantly. Perform natural language queries locally with zero cloud processing costs and absolute data privacy.
The Friction of Manual Media Auditing
Scrubbing through hours of CCTV and media archives to locate a single visual detail or acoustic event wastes critical operator hours.
Hours of Manual Scrubbing
Finding a specific vehicle, object, or person in days of footage is a grueling task. Security and operations teams waste valuable hours scrubbing timelines frame-by-frame.
Siloed Visual Analytics
Traditional video tools ignore audio entirely. Critical events like glass shattering, alarms, or gunshots go completely unnoticed unless an operator is listening to every second.
High Bandwidth & Cloud Risks
Streaming hours of high-definition video archives to third-party cloud APIs for analysis is cost-prohibitive, bandwidth-heavy, and raises severe privacy concerns.
How It Works Under the Hood
Our edge-hosted multimodal engine maps text, images, and audio waveforms into a single joint vector space, allowing real-time similarity matching.
Dual Ingestion
Video feeds are decoded into keyframes, while audio tracks are isolated and converted to spectrograms in real-time.
Joint Vectorization
Local CLIP (visual) and CLAP (audio) embedding models encode visual frames and audio events into unified mathematical vectors.
Semantic Query Matching
User text queries (e.g., 'fire', 'glass shattering') are embedded, and a fast cosine similarity search finds the exact matching timestamps.
Want to search your own video archives?
Send us a 5-minute sample video and three target visual/audio queries. Our engineers will return a complete timestamped detection report free of charge.
Request a Free Search ReportTailored for High-Stakes Operations
AdaptNXT builds scalable, private video intelligence systems. Our multimodal search engine integrates directly into existing VMS and media pipelines.
CCTV Safety Auditing
Instantly locate safety violations, fires, unauthorized entries, or specific vehicle movements in corporate security networks.
Media & Archive Search
Help production houses and content editors query massive digital asset managers for specific objects, speakers, or sound effects.
Industrial Hazard Spotting
Scan workshop recordings for high-risk sound signatures like steam leaks, heavy impacts, or equipment warning alarms.
Retail Loss Prevention
Quickly review suspicious visual sequences or glass breaks across checkout lanes to speed up insurance and incident claims.
Capabilities Built For Scale
Zero-Shot Language Understanding
Search for custom terms like "red jacket" or "dog barking" without training the model on new object classes. It understands language natively.
Joint Audio-Visual Alignment
Correlate audio alarms with visual cues in a single database. Search both dimensions simultaneously or isolate them for specific investigations.
Ultra-Fast Local Search
Index and query thousands of hours of video database vectors locally. Runs on edge servers or private clouds without sending bytes externally.
{
"query": "red car",
"modality": "visual",
"matches": [
{
"timestamp": "00:14:25",
"confidence": 0.942,
"bounding_box": [120, 45, 310, 280]
}
],
"audio_query": "glass shattering",
"audio_matches": [
{
"timestamp": "00:08:12",
"confidence": 0.895,
"event": "impact_shatter"
}
]
}Frequently Asked Questions
Quick answers about our local Multimodal Video & Audio Search capabilities.
The system utilizes joint multimodal embedding models trained on billions of image-text and audio-text pairs. It understands general semantic concepts, allowing it to search for novel terms like 'cardboard box' or 'police siren' without requiring custom model retraining.
No. The entire ingestion, embedding, and indexing pipeline runs completely within your own infrastructure (on-premise servers, edge gateways, or private VPCs). Your video files, audio streams, and search history remain 100% confidential and compliant.
We support all standard video container formats (MP4, MKV, AVI, MOV) and codecs (H.264, H.265/HEVC). For audio, we decode MP3, WAV, AAC, and standard linear PCM streams automatically during ingestion.
Yes. Our search pipeline exposes standard REST APIs and Webhook triggers. It can hook directly into popular enterprise VMS platforms (like Milestone or Genetec) or custom media asset databases.
Real-time stream indexing is GPU-intensive. The pipeline scales from a single enterprise GPU (like an NVIDIA L4 or RTX 6000 Ada) to multi-node clusters. Search lookups are extremely lightweight and can run on standard edge CPUs.
See What Local AI Can Do For Your Bottom Line
Accelerate incident investigation times by up to 90% and secure your video data. Connect with our engineers to discuss private edge deployment.