Transcribers
List Transcribers
Retrieve every speech-to-text transcription engine DialNexa supports, with provider and language information.
GET
List transcribers
Returns every speech-to-text transcription engine DialNexa supports. Each entry includes the transcriber’s stable
The exact set of providers and engines available on your workspace evolves over time, use the live response of this endpoint as the source of truth.
id, the upstream provider (for example Deepgram, AssemblyAI, OpenAI Whisper), the display name, and any configuration metadata the engine exposes. Use this endpoint as the source of truth when configuring an agent’s transcription settings, the transcriber you choose determines how accurately the agent understands what the caller says, which is especially important for accented speech, technical terminology, and non-English languages.
When to use this
- Agent build UIs: populate the transcriber selector when creating or editing an agent.
- Latency tuning: choose between streaming transcribers (lowest first-word latency) and batch transcribers (best accuracy on noisy audio).
- Language coverage checks: confirm the transcriber supports the language an agent is configured for.
- Cost optimization: switch high-volume use cases to lower-cost engines when accuracy budget allows.
Common providers
| Provider | Strengths |
|---|---|
| Deepgram | Very low latency, strong accuracy on conversational telephony audio, good Indian-English support. |
| AssemblyAI | Strong accuracy with built-in PII redaction and topic detection. |
| OpenAI Whisper | Strongest multilingual coverage, higher latency, best for batch or post-call workflows. |
Errors
401 Unauthorizedis returned when the API key is missing or revoked.
Request
Response
Related endpoints
- Get Transcriber: fetch a single transcriber.
- Update Agent: change the transcriber assigned to an existing agent.
- Speech-to-text and transcription: guidance on choosing the right engine.
- Precise transcripts: get the most accurate post-call transcript.
List transcribers