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Platform Features

Packed with features
that actually matter

UVAI goes beyond transcription — extracting structured intelligence, dispatching AI agents, and integrating with the tools your team already uses. In under 60 seconds.

Core Processing
transcript.json
Processing
00:00HostWelcome back. Today we are covering—98%
00:04Hostdistributed consensus algorithms at scale.99%
00:09GuestRight. The key insight is that Raft separates97%
00:14Guestleader election from log replication entirely.99%
00:19HostAnd that is why it is easier to reason about—96%
5 segments · 0.8s latencyWhisper v3 → YT captions
Core Processing

Transcription that actually works

Full verbatim transcripts with speaker timestamps — in under 60 seconds. No manual editing. No post-processing.

  • YouTube captions first
    We use YouTube's own accurate captions as the primary source — fastest path to a clean transcript.
  • Whisper STT fallback
    When captions are unavailable, OpenAI's state-of-the-art speech-to-text runs on the extracted audio.
  • 90+ languages
    Automatic language detection and transcription — works globally without configuration.
  • Timestamped paragraphs
    Every paragraph is anchored to its video timestamp — jump to any moment in one click.
AI Intelligence
event-streamlive
14:23:01.021video.segment.created
14:23:01.104ai.insight.detected
14:23:01.198task.action_item.extracted
14:23:01.241sentiment.segment.scored
14:23:01.305topic.cluster.labeled
5 events dispatched · 0 dropped
AI Intelligence

AI that extracts meaning, not just words

Gemini 2.0 and GPT-4o go beyond transcription to surface what actually matters in any video.

  • Event & action item extraction
    Decisions made, tasks assigned, and next steps automatically identified and categorized.
  • Key insight detection
    Notable quotes, important data points, and expert opinions surfaced and highlighted.
  • Sentiment & topic modeling
    Emotional tone and topic segmentation across the full timeline — understand the shape of any discussion.
  • Multi-level summaries
    TLDR to full executive brief — summaries at whatever detail level your team needs.
Video Chat
video-chatGPT-4o · ctx: full
What did they decide about the API rate limits?
At 14:32, the team agreed to cap public API calls at 500 req/min with a burst allowance of for 10s windows. Marcus was assigned to update the docs.
Ask anything about this video...
Video Chat

Ask questions. Get answers instantly.

Every video becomes a knowledge base you can query in plain English. No more scrubbing through recordings.

  • Ask anything about the video
    "What did they decide about the API architecture?" — get a precise, sourced answer in milliseconds.
  • Full-transcript context
    The model knows the complete transcript and event timeline — not just a retrieved snippet.
  • Persistent chat history
    Your conversation is saved and searchable — build on previous questions across sessions.
  • Timestamp-linked answers
    Every answer links back to the exact moment in the video for instant verification.
Export & Integrations
POST/api/v1/export200 OK · 42ms
{
"id": "evt_01HZQR5F...",
"format": "notion",
"events": [ 14 action items ],
"destination": "Engineering Notes",
"status": "synced"
}
JSONCSVNotionSlackREST API
Export & Integrations

Your data, wherever you need it

Export structured intelligence to the tools your team already uses. One call, fully formatted.

  • JSON & CSV export
    Machine-readable structured event data for developers, spreadsheets, and automation pipelines.
  • Notion integration
    Push a full meeting summary with checklists directly into a Notion page — one API call.
  • Slack integration
    Post a formatted summary and action item digest to any channel automatically.
  • Full REST API
    All functionality available programmatically. OpenAPI spec included. Build anything on top.
Deploy Pipeline· experimental
deploy-pipelineexperimental
Extract audiodone
Transcribedone
Generate codedone
Push to GitHubrunning…
Deploy to Vercel
$ uvai deploy --watch youtube.com/watch?v=...
Deploy Pipeline

Watch a tutorial. Deploy a working app.

Our experimental deploy pipeline watches a coding tutorial and produces a running application — fully automated.

  • Automated code generation
    GPT-4o watches the tutorial and writes the corresponding implementation from scratch.
  • GitHub repo creation
    Code is committed to a new GitHub repository under your account automatically.
  • Vercel one-click deploy
    The repo is deployed to Vercel and a live preview URL is returned in seconds.
  • Configurable pipeline
    Bring your own GITHUB_TOKEN and Vercel credentials for full control over the output.
MCP Agent System
mcp-bus4 agents connected
task-extractorsubscribed3 evt
notion-writersubscribed1 evt
slack-notifiersubscribed2 evt
custom-agentidle
Shared state: 6 keys · Last write 0.3s ago
MCP Agent System

Dispatch AI agents on extracted events

UVAI is built around the Model Context Protocol. Extracted events become triggers for intelligent, composable agents.

  • Structured event routing
    Events follow domain.entity.action naming and are dispatched to the correct agent automatically.
  • Multi-agent dispatch
    Multiple specialized agents can act on the same event stream in parallel — no coordination overhead.
  • Custom agent support
    Any MCP-compatible agent can subscribe to UVAI's event bus — no vendor lock-in.
  • Shared state coordination
    The shared-state MCP server lets agents read and write a common knowledge store synchronously.
< 60s
Avg processing time
94%
Action item accuracy
90+
Languages supported
12+
Export integrations
vs. Alternatives

How UVAI stacks up

Against YouTube auto-chapters, Otter.ai, and the old-fashioned way.

Feature
UVAIyou
YT Chapters
Otter.ai
Manual
Full verbatim transcript
Partial captions
AI event extraction
Action item detection
Add-on
Manual
Video chat / Q&A
Sentiment analysis
Topic segmentation
Chapters only
Notion / Slack export
Otter only
REST API
MCP agent dispatch
Auto-deploy from tutorial
Free tier
Early Users

What people are saying

"Saved 3 hours this week. Used to take notes during every meeting — now I just process the recording."

S
Sarah K.
Engineering Manager

"We process every product demo and conference talk. The event extraction feeds directly into our roadmap."

M
Marcus T.
Head of Product

"The deploy feature is insane. Watched a YouTube tutorial and had a running prototype in 4 minutes."

P
Priya N.
Founding Engineer
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See every feature in action

Paste any YouTube URL and get structured AI intelligence in under 60 seconds. No account required. Free forever for personal use.

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