> ## Documentation Index
> Fetch the complete documentation index at: https://dialnexa.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# DialNexa Supported Transcribers Reference
> Reference the supported DialNexa transcribers, including Deepgram Nova 3, Deepgram Nova 2, Deepgram Flux General EN, and Soniox STT RT v5.
DialNexa supported transcribers are the speech to text options users can select for an agent version. They affect recognition accuracy, language fit, endpoint timing, interruption handling, rate preview, and the transcript evidence shown after calls.
If the transcript is wrong, the model is reasoning over the wrong story.
## Public Transcriber Options
| Display name in docs | Selector label | Provider | Model id | Best for |
| ------------------------ | ---------------------------- | -------- | ----------------- | -------------------------------------------------------------------- |
| Deepgram Nova 3 | Deepgram Nova 3 | Deepgram | `nova-3` | Default production speech to text, English calls, and broad testing. |
| Deepgram Nova 2 | Deepgram Nova 2 | Deepgram | `nova-2` | Existing agents tuned on Nova 2 or regression checks. |
| Deepgram Flux General EN | Deepgram Flux (English only) | Deepgram | `flux-general-en` | English-only calls that need sharper turn boundaries. |
| Soniox STT RT v5 | Soniox | Soniox | `stt-rt-v5` | Hindi-English and code-switched conversations. |
## Selection Rules
| Rule | Effect |
| --------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| New agents default to Nova 3 where no saved transcriber exists. | Users start with a known listening path. |
| Flux is English only in the dashboard. | Non-English language choices are not a supported match for Flux. |
| Soniox uses valid language hints. | Hindi-English agents send separate `en` and `hi` hints to Soniox instead of an invalid combined code. |
| Soniox exposes Response Eagerness. | The Speech Settings panel shows the patient-to-eager timing slider for supported Soniox paths. |
| Fallback STT must use a different selectable transcriber. | The current selector excludes AssemblyAI from primary and fallback choices, and the fallback selector also excludes the current primary transcriber. |
| Transcriber pricing can appear in the selector. | Workspaces using rate preview can see `₹x.xx/min` beside options. |
| Call logs snapshot the model used. | Billing and debugging can refer to the exact transcriber model on the call. |
## Transcriber Fields
| Field | Meaning |
| ------------- | ---------------------------------------------------------------------------------------------- |
| `id` | DialNexa transcriber id used by agent versions and billing lookup. |
| `provider` | Speech to text provider, publicly documented as Deepgram or Soniox. |
| `model_id` | Provider model identifier such as `nova-3`, `nova-2`, `flux-general-en`, or `stt-rt-v5`. |
| `name` | Human-readable name shown by the product, with dashboard display labels applied where helpful. |
| `description` | Provider model description. |
| `is_deleted` | Whether the transcriber is unavailable for new selection. |
## Which Transcriber Should I Start With?
| Question | Start with |
| ---------------------------------------- | ------------------------------------------------------------------------------------ |
| Is the caller mostly English? | Deepgram Nova 3. |
| Is turn-taking the main English problem? | Deepgram Flux for English, then compare against Nova 3. |
| Will callers mix Hindi and English? | Soniox with Hindi-English language setup. |
| Are post-call fields wrong? | Review transcript quality before changing extraction fields. |
| Are names or product words wrong? | Test provider, language, recording quality, and prompt examples. |
| Is primary STT sometimes slow? | Enable fallback STT with a different provider and start with a 500 ms fallback wait. |
## Related Reading
Learn how transcribers affect live and post-call behavior.
Tune Response Eagerness and Denoising Mode.
Diagnose timing and interruption issues.
Choose the complete Voice AI stack.