On-device AI · Find any shot, instantly

Search videos,
at frame level.

Describe any shot, moment, or line of dialogue. Niravi finds it across your entire library — every frame, every word, every face. On your hardware, in seconds.

Demo Schedule Call
15 sec
per min of footage
100%
on your hardware
10×
cheaper than cloud

Terabytes of video.
Zero searchability.

The world records more video every day than anyone can watch. But finding a specific moment inside that video? That 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.

Every frame.
Fully understood.

Niravi reads video the way a human expert would — but across your entire archive, simultaneously, in minutes.

CHARACTER A · 96%
CHARACTER B · 91%
EXT · NIGHT · CHASE SEQUENCE
🔊 crowd_noise · wind · running_footsteps
🎵 Detected: "Raataan Lambiyan" · 02:34
Scene & Shot Boundaries
Every cut detected. INT/EXT. Day/night. Location inferred. 58 scenes per 5-min clip, average.
Faces, Identities & Movement
Every person tracked across every scene. Clustered by identity. Linked to the dialogue they speak.
Sound, Speech & Music
303 sound categories. Every spoken word. Every track identified. Every speaker labelled.
Meaning & Context
VLM reads every scene visually. The AI can describe what's happening, the mood, the action — and answer questions about it.

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.

Pre-release audit
Music clearance
Screenplay reconstruction
Face search across episodes
Shot reference retrieval
Surgical video search
Lecture archive search

Every industry. One engine.

Production apps and APIs for the industries that live inside video.

Flagship App
»
ShotRush
AI-powered content creation

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
Shot library · semantic search
Publishing & Music

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
150M+
tracks in detection DB
CLEAR
REVIEW
BLOCKED
CLEAR
Music clearance audit
Security & Surveillance

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
14 appearances found
00:03:21 00:11:07 00:28:44 +11
Face search · timestamped results
Broadcast & Archives

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
1983
1997
2011
🔍 "moon landing footage"
Archive search · decades of footage

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.

1Ingest library
2Add MCP config
3Ask anything
Your footage
rushes/kalki/ep3/ project_sitaare/ archive/2023/...
MCP
NIRAVI
ChatGPTlive
Claudelive
Cursorlive
+ any LLM
Ask your AI, right now
🔍"Scan the rough cut and flag every scene that might have compliance issues."
🎵"List all background music — which tracks are uncleared for streaming?"
📜"Reconstruct the screenplay from this episode with scene headings and dialogue."
✂️"Find every cut I can remove — repeated takes, dead air, off-brand moments."

10× cheaper
than the competition.

Cloud competitors charge ₹70+/min. Niravi starts at ₹5. Desktop is a one-time purchase — zero running cost, forever.

Desktop
₹0running cost
₹29,999 one-time setup

Runs entirely on your Mac. Unlimited processing, forever. No subscription.

  • All 8 capabilities included
  • Unlimited videos, no cap
  • Fully offline — no internet
  • Setup support included
  • 1 year updates included
  • MCP server & AI chat included
Schedule Call
Pro Cloud
₹10/min

Higher throughput, dedicated capacity, and faster turnaround for production pipelines.

  • Everything in Standard, plus:
  • Dedicated processing capacity
  • Faster queue — no wait
  • Webhook & pipeline integrations
  • SLA guarantee
  • Priority support
Demo
Enterprise
Talk to us

On-premise deployment, custom integration, volume pricing, and dedicated support.

  • On-premise on your hardware
  • Volume pricing negotiated
  • Custom API & MCP integration
  • Dedicated support engineer
  • NDA & data residency options
  • SSO, RBAC, audit logs
Talk to Sales
Example costs — 1-hour episode: ₹300 (Standard)  ·  Full season (10 × 45 min): ₹2,250  ·  10-hour archive ingest: ₹3,000 Comparable international tools charge ₹70+/min for fewer features.

"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.

Runs entirely on your hardware  ·  No data leaves your studio  ·  No account required for desktop

15 sec
per minute of footage

Analyses 1 minute of video in 15 seconds — 4× faster than realtime — using Apple Silicon Neural Engine, MPS, and MLX.

🔒
100%
on your hardware

Every model runs locally. Unreleased footage never touches a cloud server. No account. No upload. Nothing leaves your studio.

💰
10×
cheaper than the competition

Cloud competitors charge ₹70+/min. Niravi starts at ₹5. Desktop is a one-time purchase with zero running cost.