Quick Answer π‘
Fireflies.aileads with91.3% accuracyin 2025 benchmarks, followed byOtter.aiat 89.7%. For speed,Deepgram Nova-3achieves sub-300ms latency.Nottadominates multilingual support with 58 languages vs Otter's 3 languages.

π― 2025 Accuracy Benchmark Results
| Tool | Clean Audio Accuracy | Real-World Accuracy | Word Error Rate | Best For |
|---|---|---|---|---|
| π₯ Fireflies.ai | 91.3% | 89-91% | 8.7% | Overall accuracy leader |
| 𦦠Otter.ai | 89.7% | 85-90% | 10.3% | English conversations |
| π Sembly | 87.2% | 84-87% | 12.8% | Team meetings |
| π Notta | 98.86%* | 85-89% | 11.14% | Multilingual meetings |
| β‘ AssemblyAI | 88% | 86-88% | 8.4%* | Developer integration |
| ποΈ Rev (AI) | 86% | 84-86% | 14% | Budget-conscious |
*Optimal conditions. Real-world performance varies based on audio quality, speaker clarity, and background noise.
β‘ Speed & Real-Time Performance
π Speed Champions
Deepgram Nova-3<300ms
AssemblyAI300ms
Otter.ai~400ms
π Processing Speed Benefits
- βReal-time conversation flow
- βSuitable for most meetings
- !Noticeable delays in live use
π Multilingual Support Comparison
| Tool | Languages Supported | Real-Time Translation | Best For |
|---|---|---|---|
| π Notta | 58 Languages | β Yes (40+ languages) | Global teams |
| π₯ Fireflies.ai | ~30 Languages | Limited | European markets |
| 𦦠Otter.ai | 3 Languages | β No | English-only meetings |
| β‘ AssemblyAI | English Focus | β No | Technical integration |
π΅ Audio Quality & Noise Handling
π Excellent Noise Handling
- AssemblyAI Universal-2
- Deepgram Nova-3
- Best for noisy environments, open offices, poor audio quality
β Good Performance
- Fireflies.ai
- Notta
- Solid performance in typical meeting conditions
β οΈ Needs Clear Audio
- Otter.ai
- Rev AI
- Best with high-quality microphones, quiet environments
π’ Industry-Specific Performance
π₯ Healthcare & Medical
Top Performers:
- β’ Rev (Human):99%+ with medical vocabulary
- β’ Custom medical dictionaries
- β’ Domain-specific training
Key Features:
- β’ HIPAA compliance available
- β’ Medical terminology recognition
- β’ Speaker diarization for patient records
βοΈ Legal & Compliance
Best Options:
- β’ Rev (Human):Court-ready accuracy
- β’ SOC2 compliant
- β’ Legal vocabulary support
Compliance Features:
- β’ End-to-end encryption
- β’ Audit trails and timestamps
- β’ Legal terminology accuracy
πΌ Technical & Engineering
Technical Leaders:
- β’ Technical jargon handling
- β’ Custom model training
- β’ Tech company integration
Technical Features:
- β’ API integration capabilities
- β’ Custom vocabulary training
- β’ Real-time processing APIs
π° Pricing vs Accuracy Value Analysis
| Tool | Starting Price | Accuracy | Value Score | Best Value For |
|---|---|---|---|---|
| π₯ Fireflies.ai | $10/user/mo | 91.3% | 9.1/10 | Small-medium teams |
| π Notta | $8.25/user/mo | 89% | 8.9/10 | Multilingual teams |
| 𦦠Otter.ai | $8.33/user/mo | 89.7% | 8.7/10 | English-only teams |
| π Sembly | $10/user/mo | 87.2% | 7.8/10 | Enterprise features |
| ποΈ Rev (AI) | $0.25/min | 86% | 7.2/10 | Pay-per-use |
π¬ How We Test Transcription Accuracy
Testing Conditions
Audio Scenarios:
- β’ Clean Audio:Studio-quality recordings
- β’ Real Meetings:Zoom/Teams calls with 3-8 participants
- β’ Noisy Environment:Background chatter, keyboard noise
- β’ Accented Speech:Non-native English speakers
- β’ Technical Content:Industry-specific terminology
Accuracy Metrics:
- β’ Word Error Rate (WER):Industry standard
- β’ Speaker Identification:Correct attribution
- β’ Punctuation Accuracy:Proper formatting
- β’ Real-time Performance:Live vs batch processing
- β’ Language Detection:Multilingual accuracy
π― Key Takeaways for 2025
β Choose Fireflies.ai if:
- β’ You need the highest accuracy (91.3%)
- β’ You primarily conduct English meetings
- β’ You want strong CRM integrations
- β’ Your team values conversation intelligence
π Choose Notta if:
- β’ You have multilingual meetings (58 languages)
- β’ You need real-time translation
- β’ You want excellent value for money
- β’ Your team works across time zones
𦦠Choose Otter.ai if:
- β’ You're already in the Google/Microsoft ecosystem
- β’ You need live meeting collaboration
- β’ Your meetings are primarily in English
- β’ You want a proven, stable platform
β‘ Choose AssemblyAI if:
- β’ You need custom API integration
- β’ You have technical development resources
- β’ You process large volumes of audio
- β’ You need fastest processing speeds
π Related Comparisons
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