Intelligence for every meeting.

Voca transforms your meetings into a searchable, actionable knowledge base with precision AI intelligence. Submit any YouTube video or audio file.

auto_awesome
Voca Intelligence
Meeting Summary: Q4 Product Strategy
Just now

Executive Summary

The team reached a consensus on the 2025 roadmap, prioritizing the "Semantic Index" feature over legacy maintenance. Global expansion for data residency is set for Q3 launch.

Key Decisions
  • API-first architecture for the neural engine.
  • Migration to Voca-Core for all enterprise clients.
Action Items
  • Sarah to draft technical spec for Semantic Index.
  • Liam to schedule the vendor security review.
Confidence Score: 98.4% — Verified by Voca Neural Engine
hearing

Neural Transcription

Industry-leading transcription with Whisper for English and Sarvam AI for Hinglish. Submit any YouTube URL or local audio file.

auto_stories

Executive Summary

Mistral AI synthesizes hours of dialogue into concise, bulleted briefs that capture nuances, decisions, action items, and open questions.

database

Semantic Index

Every spoken word is embedded into Qdrant, allowing you to ask natural language questions and receive precise, context-aware answers.

Built for the modern stack.

Submit a YouTube link or upload an audio file. Voca handles the entire pipeline — audio extraction, transcription, summarization, and RAG indexing — automatically.

Try it now
voca-pipeline --run

[audio] Downloaded from YouTube in 1.4s

[stt] Whisper-large-v3-turbo transcribed 3 chunks

[llm] Mistral summarized + extracted insights

[index] Indexing into Qdrant...

{
  "title": "Q4 Product Strategy",
  "summary": "• Prioritize Semantic Index...",
  "action_items": "1. Sarah to draft spec...",
  "decisions": "1. API-first architecture...",
  "questions": "1. Budget for Q3 expansion?"
}

Ask anything about your meeting.

After processing, Voca indexes your transcript into a vector database so you can ask natural language questions and get precise answers from the meeting context.

Who is responsible for the database setup and when is it due?

auto_awesomeVoca Intelligence

Based on the transcript, Sarah is responsible for setting up the Qdrant database and writing the integration. Her deadline is next Friday.