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Deepgram

by Deepgram · est. 2015

Speech-to-text API focused on accuracy, latency, and customization. Nova-3 leads on real-time streaming for voice agents and call analytics.

📝 Transcription & STT
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AIMenta verdict
Recommended
5/5

"Our default for any production STT pipeline that needs low latency. Pair with Whisper for batch jobs where cost matters more than speed."

Features
5
Use cases
3
Watch outs
1
What it does

Key features

  • Nova-3 real-time and batch ASR
  • Custom vocabulary and model fine-tuning
  • 30+ languages
  • Speaker diarization
  • Aura TTS for voice agents
When to reach for it

Best for

  • Production voice agents
  • Call analytics
  • High-volume transcription pipelines
Don't get burned

Limitations to know

  • ! Less mature on non-English than Whisper for some languages
Context

About Deepgram

Deepgram is a Transcription & STT tool from Deepgram, launched in 2015. Speech-to-text API focused on accuracy, latency, and customization. Nova-3 leads on real-time streaming for voice agents and call analytics.

Notable capabilities include Nova-3 real-time and batch ASR, Custom vocabulary and model fine-tuning, and 30+ languages. Teams typically deploy Deepgram for production voice agents and call analytics.

Common trade-offs to weigh: less mature on non-English than Whisper for some languages. AIMenta editorial take for APAC mid-market: Our default for any production STT pipeline that needs low latency. Pair with Whisper for batch jobs where cost matters more than speed.

Where AIMenta deploys this kind of tool

Service lines that build, integrate, or train teams on tools in this space.

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Beyond this tool

Where this category meets practice depth.

A tool only matters in context. Browse the service pillars that operationalise it, the industries where it ships, and the Asian markets where AIMenta runs adoption programs.

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