📊 Notta Speaker ID Overview
✅ What's Included
- Automatic Detection: AI identifies different speakers
- Manual Labeling: Add custom speaker names
- Timeline View: Visual speaker conversation flow
- Export Options: Speaker-separated transcript formats
- Multi-platform: Works across all Notta apps
⚠️ Limitations
- No Voice ID: No persistent speaker profiles
- 10 Speaker Max: Limited compared to competitors
- Basic Accuracy: 85% vs 95%+ from premium tools
- Manual Correction: Requires post-meeting editing
- No Real-time Names: Labels applied after transcription
🎯 Performance Specs
85%+
Accuracy Rate
104
Languages
10
Max Speakers
5 min
Session Limit (Free)
⚙️ How Notta Speaker ID Works
🎬 Automatic Speaker Detection
Notta uses machine learning algorithms to automatically identify different speakers based on voice characteristics like pitch, tone, and speaking patterns. The system assigns generic labels (Speaker 1, Speaker 2, etc.) during transcription.
Detection Process
- • Voice activity detection
- • Speaker change identification
- • Voice characteristic analysis
- • Segment clustering
Audio Requirements
- • Clear audio quality
- • Minimal background noise
- • Distinct speaker voices
- • 3+ seconds per speaker
Output Format
- • Timestamped segments
- • Speaker labels (Speaker 1, 2...)
- • Confidence scores
- • Color-coded timeline
✏️ Manual Speaker Labeling
After transcription, users can manually assign names to each detected speaker. This process requires editing the transcript and is essential for creating meaningful meeting records.
Editing Process:
- 1. Open transcript: Access completed transcription
- 2. Click speaker label: Select generic Speaker 1, 2, etc.
- 3. Enter real name: Replace with actual participant name
- 4. Apply globally: Update all instances of that speaker
Best Practices:
- Use full names: John Smith vs John for clarity
- Consistent format: Same naming convention throughout
- Verify accuracy: Check speaker assignments before saving
- Save frequently: Preserve changes during editing
📈 Speaker Timeline Visualization
Notta provides a visual timeline showing when each speaker was active during the conversation, making it easy to see participation patterns and find specific discussions.
Timeline Features:
- • Color-coded speaker segments
- • Click-to-jump navigation
- • Speaking duration indicators
- • Overlapping speech visualization
- • Export timeline as image
🌍 Multilingual Speaker Identification
📊 Language Coverage
104
Supported Languages
Largest language support in the industry
🎯 Accuracy by Language
🔄 Multilingual Challenges
Common Issues:
- Similar accents: Speakers from same region may be confused
- Code-switching: Mixed language speakers challenging to track
- Low-resource languages: Less training data affects accuracy
- Background noise: Impact varies significantly by language
Workaround Solutions:
- Pre-meeting setup: Specify primary language in advance
- Clear introductions: Have speakers introduce themselves
- Manual correction: Edit speaker labels post-meeting
- Multiple recordings: Separate sessions for different languages
📱 Platform Availability & Features
💻 Web App
- ✅ Live transcription: Real-time speaker detection
- ✅ File upload: Process pre-recorded meetings
- ✅ Advanced editing: Full speaker label management
- ✅ Export options: Multiple formats with speakers
- ✅ Timeline view: Visual speaker flow
📱 Mobile Apps
- ✅ iOS & Android: Record meetings on mobile
- ✅ Speaker detection: Basic identification features
- ✅ Manual labeling: Edit speaker names on device
- ⚠️ Limited editing: Advanced features require web
- ✅ Cloud sync: Access across all devices
🔗 Integrations
- ✅ Zoom plugin: Direct meeting capture
- ✅ Google Meet: Browser extension support
- ✅ Teams: Meeting bot functionality
- ⚠️ Speaker sync: May require manual verification
- ✅ Calendar integration: Auto-meeting detection
💳 Plan Limitations & Availability
| Feature | Free Plan | Pro Plan | Business Plan |
|---|---|---|---|
| Speaker Identification | ✅ Basic | ✅ Full | ✅ Advanced |
| Recording Length | 5 minutes | 1 hour | Unlimited |
| Max Speakers | 5 | 10 | 10 |
| Manual Labeling | ✅ | ✅ | ✅ |
| Timeline View | Basic | ✅ | ✅ Advanced |
| Export Options | Limited | Full | Full + API |
⚠️ Free Plan Limitations:
- 5-minute limit: Severely restricts meeting length
- 5 speakers max: Not suitable for larger meetings
- Basic timeline: Limited visualization features
- Export restrictions: Fewer format options
💡 Optimizing Notta Speaker ID
✅ Best Practices
- 🎙️ Clear audio setup: Use quality microphones for each speaker
- 👋 Speaker introductions: Have participants introduce themselves clearly
- ⏱️ Speaking time: Allow each speaker 5+ seconds initially
- 🔇 Minimize overlap: Reduce simultaneous talking
- 📝 Quick editing: Label speakers immediately after meeting
❌ Accuracy Killers
- 📱 Phone audio: Compressed audio reduces accuracy
- 🗣️ Similar voices: Speakers with similar pitch/tone
- 🌊 Background noise: Music, typing, air conditioning
- ⚡ Very short comments: Less than 3 seconds of speech
- 👥 Large groups: More than 8-10 active speakers
🛠️ Troubleshooting Guide
Wrong Speaker Labels:
- • Use manual relabeling feature
- • Check for voice similarities
- • Increase speaker introductions
- • Consider upgrading for better accuracy
Missing Speakers:
- • Verify audio levels for quiet speakers
- • Check for minimum speaking time
- • Manually add speaker segments
- • Use better audio equipment
🆚 Notta vs Competitors
| Platform | Accuracy | Max Speakers | Languages | Voice ID |
|---|---|---|---|---|
| Notta | 85%+ | 10 | 104 | ❌ |
| Fireflies.ai | 95%+ | 50 | 100+ | Limited |
| Sembly AI | 95% | 20 | 45+ | ✅ |
| Otter.ai | 90%+ | 25 | 30+ | Basic |
📊 Notta's Competitive Position:
- Best language support: 104 languages vs competitors' 30-100
- Lower accuracy: 85% vs industry leaders at 95%+
- Limited speakers: 10 speaker max vs Fireflies' 50
- No Voice ID: Missing persistent speaker profiles
- Strong mobile apps: Better mobile experience than most
🎯 When to Choose Notta Speaker ID
✅ Perfect For
- 🌍 Multilingual teams: Industry-best language coverage
- 💰 Budget constraints: Affordable pricing with basic features
- 📱 Mobile-first users: Strong mobile app experience
- 👥 Small meetings: 3-5 person conversations
- 📝 Simple needs: Basic speaker identification sufficient
❌ Not Ideal For
- 🎯 High accuracy needs: 95%+ accuracy requirements
- 👥 Large meetings: More than 10 active speakers
- 🔄 Recurring meetings: No persistent speaker profiles
- ⚡ Real-time labeling: Names appear only after transcription
- 🏢 Enterprise features: Advanced compliance or security needs