Capture a noisy inbound support request.
Speech Input
Deepgram for voice workflows
Transcribe caller audio with Deepgram speech recognition.
Layer
Speech Input
Focus 01
Streaming transcription
Focus 02
Phone audio
Focus 03
Speech models
The role
What Deepgram brings to a call
Deepgram transcribes caller speech before the agent reasons about it. Phone audio quality, accents, and short replies are important test cases.
In the voice stack
Speech Input
Speech input converts the caller's audio into text for a pipeline agent. Recognition quality affects every answer and action that follows.
Use cases
Where teams use Deepgram
Recognize names and amounts in a qualification call.
Feed a streaming transcript into a pipeline agent.
Implementation
From setup to a real call
Define the outcome
Choose the call scenario and decide which of Deepgram's capabilities the agent needs.
Configure the path
Choose Deepgram for speech input and select a recognition model that fits your language and call audio.
Test before launch
Test accents, background noise, names, and short utterances on real phone calls.
Frequently asked questions
Deepgram questions
What does Deepgram add to a Vozon workflow?+
Deepgram transcribes caller speech before the agent reasons about it. Phone audio quality, accents, and short replies are important test cases.
How do I set up Deepgram?+
Choose Deepgram for speech input and select a recognition model that fits your language and call audio.
What should I verify before launch?+
Test accents, background noise, names, and short utterances on real phone calls.
More in Speech Input
Build your workflow
Put Deepgram to work in the right call flow.
Tell us what your agent needs to hear, say, read, or update. We'll help map the connection and test it with your call scenarios.
Plan this integration