Multi-Agent Audio Transcription & Conference Analysis

Transform conference and meeting recordings into actionable insights with KaibanJS multi-agent system. Automate audio transcription, extract key information, identify participants, and generate comprehensive summaries using AI agents.

What is AI-Powered Audio Transcription?

AI-powered audio transcription converts speech to text and extracts valuable insights from conference calls, meetings, and recordings

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Automated Transcription

Convert audio recordings to accurate text using advanced speech-to-text models like OpenAI Whisper. Support multiple formats and languages with high accuracy.

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Intelligent Analysis

AI agents analyze transcriptions to extract topics, identify participants, find action items, and understand context. Go beyond simple transcription to gain actionable insights.

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Comprehensive Summaries

Generate well-structured meeting notes, summaries, and reports automatically. Extract key decisions, action items, and important information in organized formats.

How Multi-Agent Audio Transcription Works

Our specialized AI agents work together to transform audio recordings into comprehensive meeting documentation

1

Audio Transcription

The Transcriber agent uses a custom tool to download and transcribe audio files using OpenAI Whisper API, converting speech to accurate text format.

2

Topic & Context Analysis

The Analyst agent identifies main topics discussed and extracts the overall context of the conference, providing a clear overview of key themes.

3

Participant Identification

The Analyst agent extracts all participants mentioned in the transcription, including their names, roles, titles, and relevant information.

4

Summary Generation

The Analyst agent creates a concise and comprehensive summary highlighting main points, decisions made, and important discussions from the conference.

5

Action Item Extraction

The Extractor agent identifies all action items mentioned in the conference, extracting task descriptions and responsible parties when mentioned.

6

Key Notes Extraction

The Extractor agent organizes relevant notes, insights, and important information, focusing on key takeaways and valuable insights that should be documented.

7

Document Consolidation

The Consolidator agent synthesizes all analysis results into a comprehensive, well-structured markdown document ready for distribution and reference.

Custom Audio Transcription Tool

KaibanJS allows you to create custom tools that encapsulate complex logic. Our Audio Transcription Tool demonstrates this by:

  • βœ“Encapsulating API Logic: Wraps OpenAI SDK calls in a reusable tool that agents can use
  • βœ“Handling File Downloads: Automatically downloads audio files from URLs before processing
  • βœ“Error Handling: Manages API errors and network issues gracefully
  • βœ“Flexible Model Support: Supports different transcription models with various output formats

Model Flexibility

Different transcription models offer unique capabilities:

  • β€’ gpt-4o-mini-transcribe: Fast, cost-effective transcription with text output
  • β€’ gpt-4o-transcribe-diarize: Advanced model with speaker diarization, identifying who said what
  • β€’ Response Formats: Support for text, JSON, and diarized JSON formats

Note: The diarization model (gpt-4o-transcribe-diarize) can automatically detect and label different speakers in the conversation, making it ideal for multi-participant meetings.

Technology Stack

Built with enterprise-grade tools and libraries

Custom Tools

Create reusable tools that encapsulate complex logic and API integrations

OpenAI Whisper

Advanced speech-to-text models with diarization support

KaibanJS Agents

Specialized AI agents for transcription, analysis, and extraction

Multi-Agent Teams

Collaborative agent workflows for comprehensive processing

Real-World Use Cases

AI-powered transcription transforms how organizations process and analyze meeting content

Corporate Meetings

Automatically transcribe and analyze board meetings, team standups, and strategy sessions. Extract action items and decisions without manual note-taking.

Customer Interviews

Process customer interviews and feedback sessions to identify pain points, feature requests, and insights. Generate summaries for product teams.

Training Sessions

Convert training recordings into searchable documentation and study materials. Extract key concepts and create knowledge bases.

Legal Proceedings

Transcribe depositions, hearings, and legal consultations with high accuracy. Extract important statements and create searchable records.

Medical Consultations

Process patient consultations and medical conferences. Extract diagnoses, treatment plans, and important medical information for documentation.

Podcast & Media Production

Generate transcripts for podcasts, webinars, and video content. Create searchable archives and improve SEO with accurate transcripts.

Implementation Highlights

Key features of this audio transcription implementation

Custom Tool Architecture

AudioTranscriptionTool Class: Encapsulates all transcription logic in a reusable tool
Zod Schema Validation: Ensures proper input validation for audio URLs
OpenAI SDK Integration: Seamlessly integrates with OpenAI Whisper API
Error Handling: Comprehensive error handling for network and API failures
File Processing: Handles audio file downloads and format conversion

Agent Specialization

Transcriber Agent: Specialized in audio processing and speech-to-text conversion
Analyst Agent: Expert in content analysis, topic extraction, and summarization
Extractor Agent: Focuses on identifying action items and key information
Consolidator Agent: Synthesizes all analysis into structured documents
Task-Based Workflow: Seven sequential tasks ensure comprehensive processing

πŸ’‘ Pro Tip: Model Selection

Choose the right transcription model based on your needs:

  • β€’ For speed and cost: Use gpt-4o-mini-transcribe with text output
  • β€’ For speaker identification: Use gpt-4o-transcribe-diarize with diarized JSON output
  • β€’ For structured data: Use JSON response format for easier parsing and processing

Note: This example uses a sample audio file from a public dataset for demonstration purposes. In production applications, you would use your own conference or meeting recordings.

Interactive Audio Transcription Demo

Experience the power of multi-agent audio transcription. Try the interactive demo below to see how our AI agents work together to transcribe audio, extract key information, identify participants, and generate comprehensive meeting summaries. The demo uses a sample conference recording to demonstrate the full workflow.

This demo showcases the collaborative AI agent workflow.Try the full version β†’

Ready to Build Your Audio Transcription System?

Join thousands of developers who are already using KaibanJS to build intelligent AI agents for audio processing and analysis.

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