Head-to-head comparison
AssemblyAI vs ElevenLabs Speech-to-Text
Two of the transcription tools podcasters reach for. Here's how they differ on pricing, features, audience, and the trade-offs that actually matter day-to-day.
Voice AI API that developers reach for when accuracy and uptime actually matter.
Best for: Developer transcription API
Scribe model from the voice-AI company
Best for: Teams already using ElevenLabs for TTS who want to round-trip audio in the same dashboard.
At a glance
The honest trade-offs
AssemblyAI
Pros
- High accuracy across 99 languages
- Strong real-time streaming model
- Generous startup program
Watch-outs
- Not a finished app — requires engineering
- Pricing adds up at scale
- Smaller community than Whisper
ElevenLabs Speech-to-Text
Pros
- Diarisation and speaker labels are solid
- Unified billing with ElevenLabs TTS
- Word-level timestamps included
Watch-outs
- Newer than competitors, less battle-tested
- Limited non-English depth versus Whisper
- No live streaming endpoint yet
Which one should you pick?
Pick AssemblyAI if
You’re building around developer transcription api. AssemblyAI isn't an app — it's an API. If you're building a product that needs transcription, sentiment analysis, or speaker diarization at scale, it's one of the few options that pairs accuracy with reasonable pricing and serious infrastructure.
Pick ElevenLabs Speech-to-Text if
You’re building around teams already using elevenlabs for tts who want to round-trip audio in the same dashboard.. ElevenLabs entered the ASR race with Scribe, a model that lands competitive WER scores on English and Spanish while inheriting the company's strong diarisation work from voice cloning. Cleanest if you already use ElevenLabs for TTS.
Also worth comparing
Or see all AssemblyAI alternatives.
Frequently asked
What does AssemblyAI do better than ElevenLabs Speech-to-Text?
AssemblyAI's standout is "High accuracy across 99 languages". ElevenLabs Speech-to-Text doesn't make that promise — it leans into "Diarisation and speaker labels are solid" instead. If the first sentence describes your workflow, pick AssemblyAI; if the second does, pick ElevenLabs Speech-to-Text.
What are the trade-offs?
AssemblyAI: not a finished app — requires engineering. ElevenLabs Speech-to-Text: newer than competitors, less battle-tested. Whether either matters depends entirely on what you actually need — neither is a deal-breaker by itself.
Can I use AssemblyAI and ElevenLabs Speech-to-Text together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using AssemblyAI for one show or episode type and ElevenLabs Speech-to-Text for another. Worth trying both free tiers before committing.