Turn videos into
searchable, understandable, actionable data.
Niravi goes inside every frame. Describe any shot, moment, or line of dialogue — and find it across your entire library. On your hardware or in the cloud.
Terabytes of video.
Zero searchability.
Search only scratches the surface — titles, tags, transcripts. The video itself stays dark. Finding a specific moment still means scrubbing through hours of footage by hand.
You shot 12 hours. You need the 3 seconds where she laughs.
Scrubbing a timeline. Again.
You've posted 600 Reels. A brand wants the one with the blue outfit.
Your archive is a black box.
300 podcast episodes. Someone asks "which one covers pricing strategy?"
No idea. No way to know.
3 seasons of footage. Where's that establishing shot from episode 4?
Ask the editor. Wait two days.
50 million hours of meeting recordings. "Find every call where this client was mentioned."
Impossible. Until now.
You remember exactly what you're looking for. You just can't find it.
That's the problem. That's what we solve.
Nobody built the search layer for video.
We did.
Go inside video.
Niravi reads every signal — visual, audio, and on-screen text — and fuses them into one searchable space. Across your entire archive, in minutes.
Search anything.
Three ways in.
Type what you remember — any scene, dialogue, face, or sound.
No tags. No filename. Niravi searches every frame and every word across your entire library.
Drop a reference frame. Find every visually similar shot.
Same face, location, composition, or lighting — across every project in your library.
across 12 videos
Name a track. See every scene it plays in.
Auto-identified — title, artist, timestamp. Know if it's cleared for delivery before it's a problem.
Thousands of hours of footage.
All of it searchable.
Your team uses ChatGPT for scripts. Your footage — the asset you've spent years building — is still locked in folders named COMP_v14_FINAL_FINAL.mov. Not anymore.
VFX & Animation
Reference composite from 3 seasons ago — found in 8 seconds, not an afternoon of scrubbing.
Broadcasters & OTT
Right clip for a promo in seconds, not two days. Across 500,000+ hours of archive.
News & Media
Breaking story needs archive footage now. Search by spoken word. Done before the next ad break.
Post-Production
Shift handoffs stop being verbal. Every delivered project searchable from day one.
Ad Films & Content
Find the right take instantly. Surface unused B-roll that's been sitting in a drive for years.
Sports & Live
Any play, any athlete, any season. Face search across 300 hours in seconds.
Healthcare
Surgical recordings searchable by procedure, instrument, or moment. On-device — patient data never leaves the hospital.
Security & Surveillance
Upload an image, find every appearance across hours of CCTV — frame-accurate, timestamped, exportable.
Education
200,000 lecture hours, students can't search within them. Find "where eigenvalues are explained" in seconds.
Built for everyone
who works with video.
From a solo creator's library to a broadcaster's decades of tape — one engine to search, perceive, and act on every frame.
Individuals
Creators, editors & researchers
Make your own library searchable. Magic Search and cited recall across every clip — kept private with on-device Sovereign mode.
- Search & recall, to the second
- Sovereign mode — on your hardware
- Free to start
Teams & Studios
Studios, post houses & newsrooms
Shared, searchable archives. Newsrooms index live feeds and decades of tape, map people & events, and spot trends — then port it into the tools they already run.
- Pooled hours & shared collections
- Newsroom: Index · Mapper · Trend Finder
- Ports into MAM · rundown · Premiere
API & MCP
Programmatic access for developers
Ingest, search and recall over video from your own code. One index, queried from anywhere — REST, SDKs, or dropped straight into an AI agent.
- REST API + Python / TypeScript SDKs
- MCP server — read by any agent
- Usage-based, no minimum
Enterprise
Operating at scale
Dedicated capacity and a deployment that fits your security posture — including fully on-prem, air-gapped Sovereign inference.
- Sovereign / on-prem deployment
- SSO · audit logs · custom retention
- Dedicated fleet & SLA
Every industry. One engine.
Production apps and APIs for the industries that live inside video.
Prompt → script → voiceover → footage → final video. ShotRush uses Niravi to craft videos — search your library, find the perfect shot, remix at scale. Add the same power to your own workflows via API.
- Short-form & long-form video generation
- Screenplay reconstruction from raw rushes
- B-roll finder — semantic shot search
- Clip repurposing across formats
Music clearance & content audit
Every frame. Every track. Niravi identifies music, speech, and ambient sound — so publishers and rights holders know exactly what's in their archive before distribution.
- Music ID matched against 150M+ tracks
- Rights clearance flagging before publish
- Audio fingerprinting across your library
- Compliance audit trail per video
Face search across footage archives
Upload an image. Niravi finds every appearance across hours of CCTV, broadcast, or archival footage — frame-accurate, timestamped, exportable.
- Face recognition across unlimited footage
- Multi-camera person tracking
- Scene-level appearance reports
- Searchable suspect / subject timelines
Make your archive searchable in minutes
Decades of footage. No metadata. Niravi ingests, transcribes, scene-detects, and indexes everything — so your team can search across the entire library with a sentence.
- Bulk ingest & automatic metadata
- Multi-language transcription & subtitles
- Speaker & subject identification
- Clip licensing & export workflow
Your AI just got
eyes inside your footage.
ChatGPT is brilliant. But it's blind to your videos. Connect Niravi via MCP — one config line — and suddenly it can search every frame, read every word, identify every track.
"The footage you've created is the most valuable thing in your studio. It should feel that way."
Try it on real footage
right now.
40 pre-analyzed videos — search, chat, explore transcripts, scenes, and faces. No account. No install. Just open and try.
Start free — 1 hour of analysis a month · No card required · Sovereign mode keeps footage on your hardware
Analyses 1 minute of video in 15 seconds — 4× faster than realtime — using Apple Silicon Neural Engine, MPS, and MLX.
Every model runs locally. Unreleased footage never touches a cloud server. No account. No upload. Nothing leaves your studio.
Cloud competitors bill by the minute, forever. Niravi runs on your own hardware — a one-time purchase with zero running cost — or cloud plans that start free.