AI that scrubs, analyzes and
understands every video for you.

Type a question. Reka Vision searches the footage, reads speech and on-screen text, and returns the exact moments — timestamped.

[OUR SOLUTION]

Ask anything about
your video.

Search a moment, read speech and on-screen text, track objects, clip highlights, or flag anything against your own rules — safety and moderation included. Reka Vision watches the whole video and answers, with timestamps and structured results you can act on.

Try Reka Vision →

Ask questions and
search any video

Find the exact moment something happens, summarize a long recording, or read what’s said and shown — every answer comes with a timestamp you can jump to.

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Asking questions about a recorded presentation and getting timestamped answers.
Detecting brands, logos, and products in video with on-screen evidence.

Find brands, logos
and products

Spot visible brands, logos, products, packaging, signs, and on-screen text, then measure how clear, readable, and sponsor-ready each placement is.

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Understand the
action over time

Track the main subjects, scene changes, and important events from beginning to end. See how a story or sequence develops, with timestamped highlights you can jump to.

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Tracking and analyzing subjects across changing video scenes.
Reviewing creator content before publishing with timestamped feedback.

Review content
before publishing

Check every cut before it goes live. Reka Vision reviews your video for brand mentions, sensitive moments, captions, visual details, and anything your audience or sponsors care about — with timestamped notes you can act on.

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[THE CHALLENGE]

Most tools can't actually
watch a video.

VIDEO.MP4 2:34
JOB 1
Frame
sampling
JOB 2
Audio
transcript
JOB 3
On-screen
text
outputs never combined · context lost

Most tools look at screenshots — not video.

They sample frames, transcribe audio, and scan text as three separate jobs. Nothing watches what actually happens, so context falls through the gaps.

video_1142.mp4 tag: "sports"
outdoor
people
video_1143.mp4 tag: "indoor"
talking
product
labels given · question unanswered

A label isn't an answer.

Generic tagging says a clip is “sports” or “outdoor.” It won’t tell you who scored, which products appeared, or where the best 15 seconds are.

✓Classified: "lifestyle video"
STILL UNANSWERED
Where does the lead change?
Which products appear, and for how long?
What's the best 15s to clip?

Your real questions don't fit fixed labels.

Where's the lead change? Which products appear, and for how long? What's the best 15 seconds to clip? A fixed-label classifier was never built to answer the things you actually need.

[HOW IT WORKS]

Three ways in.
Same engine.

[AGENT]

Reka Vision

Try it now

Open it in your browser. Upload a video or paste a URL, then type what you want to know. No API keys, no accounts, no setup. Use it daily, or to evaluate Reka Vision before building on it.

vision.reka.ai
"Find every moment a product appears."
Open Reka Vision →
[MCP]

MCP server

Use it in your workflow

Connect Reka Vision to Claude, Cursor, or any MCP-compatible agent. Your analysts, editors, and product teams get video understanding inside the tools they already work in. No new interface.

~/mcp/reka-vision.json
{
  "server": "reka-vision",
  "tools": ["ask", "search", "clip"]
}
ClaudeCursorCustom
MCP setup →
[API]

Vision API

Build it into your product

Everything the agent does runs on the same API. Process thousands of videos programmatically, plug into your upload pipeline, or add video understanding to your own platform. What you tested in the agent works identically in code.

POST /v1/vision/ask
{
  "video": "s3://uploads/…",
  "prompt": "Find every product on screen…"
}
RESTPythonWebhooksBatch
Read API docs →
[CASE STUDY]
Reka enabled Shutterstock to further monetize their massive multimedia library — 500M photos and 50M videos — through automated metadata tagging.
Paul Hennessy, CEO of Shutterstock
The same engine that powers Reka Vision processed their entire library at scale.
Talk to us about your video library →