Head-to-head comparison
Deepgram 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.
Enterprise voice AI APIs with a focus on speed, scale, and unified voice agents.
Best for: Enterprise voice infrastructure
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
Deepgram
Pros
- Excellent latency for real-time voice
- Strong enterprise compliance and self-hosting
- Unified voice agent API simplifies integration
Watch-outs
- Developer-only, no end-user app
- Documentation can be dense for newcomers
- Pricing complexity for smaller teams
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 Deepgram if
You’re building around enterprise voice infrastructure. Deepgram is what large companies use when they're embedding voice into a product and need someone on the other end of an SLA. Accuracy is competitive with AssemblyAI and latency is excellent for real-time use cases.
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 Deepgram alternatives.
Frequently asked
What does Deepgram do better than ElevenLabs Speech-to-Text?
Deepgram's standout is "Excellent latency for real-time voice". 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 Deepgram; if the second does, pick ElevenLabs Speech-to-Text.
What are the trade-offs?
Deepgram: developer-only, no end-user app. 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 Deepgram and ElevenLabs Speech-to-Text together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using Deepgram for one show or episode type and ElevenLabs Speech-to-Text for another. Worth trying both free tiers before committing.