Generate Documentation from Audio

Transform audio content into searchable, structured documentation automatically.

Supported Audio Formats

• MP3: Universal audio format
• WAV: High-quality uncompressed audio
• M4A: Apple audio format
• AAC: Advanced Audio Coding
• OGG: Open source audio format

Use Cases

Meeting Notes

• Team meetings and standups
• Client calls and discussions
• Training sessions
• Brainstorming sessions

Podcasts and Webinars

• Industry podcasts
• Educational webinars
• Conference recordings
• Interview transcripts

Voice Memos

• Quick thoughts and ideas
• Project updates
• Personal notes
• Voice journals

How It Works

Audio Input → Transcription → Content Analysis → Documentation
     │              │                │                │
     │              │                │                └─ Formatted MD
     │              │                └─ Key points extracted
     │              └─ Gemini 2.5 Flash
     └─ MP3, WAV, M4A upload

Step 1: Upload Audio

1. Click + Create → From Audio
2. Drag and drop audio file or click to browse
3. Wait for upload (files up to 500MB)

Step 2: Processing

TyneBase automatically:

1. Processes the audio file
2. Transcribes using Gemini 2.5 Flash
3. Identifies speakers and key topics
4. Extracts action items and decisions

Step 3: Generate Documentation

Choose your output format:

Format	Description
Meeting Notes	Summary, action items, decisions
Transcript	Full text with speaker labels
Key Points	Bullet-point summary
Blog Post	Article-style content

Transcription Quality

Best Practices

• Clear Audio: Use high-quality recordings
• Minimal Background Noise: Quiet environment
• Single Speaker: Better accuracy with one speaker
• Structured Content: Meetings with clear agenda work best

Speaker Identification

The AI can:

• Detect different speakers
• Label speakers automatically (Speaker A, Speaker B)
• Identify names if mentioned in the audio
• Separate dialogue and monologues

Example Output

From a 30-minute team meeting:

# Team Meeting Notes - Q1 Planning

**Date**: January 15, 2026
**Duration**: 30 minutes
**Attendees**: 4

## Key Topics Discussed

### 1. Q1 Goals (0:00 - 10:00)
- Focus on user retention
- Launch new mobile features
- Improve documentation quality

### 2. Resource Allocation (10:00 - 20:00)
- Hire 2 new developers
- Budget for marketing campaign
- Allocate time for technical debt

### 3. Action Items (20:00 - 30:00)
- [ ] Finalize Q1 roadmap by Friday
- [ ] Post job listings for developers
- [ ] Schedule marketing review meeting

## Decisions Made
- Proceed with mobile app development
- Allocate $50k for Q1 marketing
- Dedicate 20% time to documentation

Processing Times

Audio Length	Estimated Time
5 minutes	~20 seconds
15 minutes	~1 minute
30 minutes	~2-3 minutes
1 hour	~5-8 minutes

Privacy & Security

• All audio processing uses EU data centers
• Audio files are encrypted at rest and in transit
• Transcripts are stored securely
• Full audit trail of audio processing
• Option to delete original audio after processing

Tips for Best Results

1. Use Quality Equipment: Good microphones improve accuracy
2. Speak Clearly: Enunciate and moderate your pace
3. Minimize Interruptions: Let speakers finish thoughts
4. Provide Context: Include meeting agenda if possible
5. Review Output: Always review and edit generated content