AssemblyAI
The best way to build Voice AI apps with one robust API
Langfuse
Open Source LLM Engineering Platform
Updated February 2026
| AssemblyAI | Langfuse | |
|---|---|---|
| Rating | 4.8★ | 5.0★ |
| Reviews | 25 | 41 |
| Pros | 14 | 18 |
| FactScore™ | 67.5 | 81.2 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in AssemblyAI — Pros
Accurate transcription Transcription API Easy integration Fast performance Sentiment analysis Excellent documentation Content moderation Multilingual support Real-time transcription Speaker diarization Auto chapters Developer experience Rich audio features Scalable APIsBoth tools — Pros
—Only in Langfuse — Pros
LLM observability Open source Detailed tracing Monitoring capabilities Cost-effective Easy to integrate Free tier SDK availability Seamless integration Debugging tools Fast iterations Insightful analytics Community engagement Detailed analytics Excellent UI Flexible architecture Open API Robust telemetryOnly in AssemblyAI — Cons
Autopay issues No card removal option Occasional transcription errorsBoth tools — Cons
—Only in Langfuse — Cons
—Details
| AssemblyAI | Langfuse | |
|---|---|---|
| Categories | AI Infrastructure Tools, Transcription | AI Infrastructure Tools, AI Metrics and Evaluation |
| Platforms | Web | Web |
| Became Popular | August 4, 2017 | August 20, 2023 |
| Website | assemblyai.com | langfuse.com |
Who Should Pick Which?
Choose AssemblyAI if...
- Accurate transcription
- Transcription API
- Easy integration
Choose Langfuse if...
- LLM observability
- Open source
- Detailed tracing
With a FactScore™ of 67.5 vs 81.2, Langfuse leads in community reception. AssemblyAI uniquely offers Accurate transcription and Transcription API, while Langfuse stands out for LLM observability and Open source.
What Users Say
AssemblyAI
When selecting a speech-to-text & audio intelligence provider for NeuraVid.io, we compared several options, including Deepgram, Rev AI, AWS Transcribe, and Whisper-based APIs. We ultimately chose A...
What sets AssemblyAI apart is its simplicity and seamless integration for transforming speech into meaningful text. Their API is easy to implement, providing highly accurate and fast transcription ...
What sets AssemblyAI apart is its simplicity and seamless integration for transforming speech into meaningful text. Their API is easy to implement, providing highly accurate and fast transcription ...
Langfuse
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into ...
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-f...
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
Related Comparisons
Frequently Asked Questions
Which is better, AssemblyAI or Langfuse?
Based on FactScore™, Langfuse leads with a score of 81.2 vs 67.5. Langfuse has a higher rating of 5.0★ compared to 4.8★.
What are the pros of AssemblyAI compared to Langfuse?
AssemblyAI uniquely offers: Accurate transcription, Transcription API, Easy integration, Fast performance, Sentiment analysis.
What are the pros of Langfuse compared to AssemblyAI?
Langfuse uniquely offers: LLM observability, Open source, Detailed tracing, Monitoring capabilities, Cost-effective.
Is AssemblyAI better rated than Langfuse?
AssemblyAI is rated 4.8★ from 25 reviews. Langfuse is rated 5.0★ from 41 reviews.
What is the FactScore™ of AssemblyAI and Langfuse?
FactScore™ weighs rating and review volume together. AssemblyAI scores 67.5 and Langfuse scores 81.2.
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