# Deepgram AI integration on Definable

> Deepgram provides AI-powered speech recognition and understanding services, offering APIs for real-time and pre-recorded audio transcription, text-to-speech, and audio intelligence.

## What this connects

Deepgram provides AI-powered speech recognition and understanding services, offering APIs for real-time and pre-recorded audio transcription, text-to-speech, and audio intelligence.

Vendor: https://deepgram.com/

## Tools available

**8** tools available. First 8:

- `DEEPGRAM_GET_MODEL` — Get Model by ID — Retrieve metadata for a specific Deepgram model by its UUID. Returns detailed model information including name, architecture, supported languages, version, and capabilities. Works for both STT (speech-to-text) and TTS (text-to-speech) models.
- `DEEPGRAM_GET_MODELS` — Get Public Models — Retrieve metadata on all public Deepgram models (speech-to-text and text-to-speech). Returns comprehensive model information including supported languages, architectures, versions, and capabilities. Set include_outdated to True to include deprecated versions.
- `DEEPGRAM_GET_PROJECTS` — List Deepgram Projects — Tool to list all Deepgram projects. Use after authenticating with your API key.
- `DEEPGRAM_GET_PROJECT_USAGE_SUMMARY` — Get Project Usage Summary — Retrieves aggregated usage statistics for a Deepgram project including total audio duration, billable duration, number of requests, channels processed, and confidence/relevance scores. Returns both overall totals and breakdowns by model/accessor/tag. Use this to analyze API consumption, track costs, or monitor transcription quality metrics over time.
- `DEEPGRAM_LIST_PROJECT_SCOPES` — List Project Scopes — Tool to list all scopes for a specified Deepgram project. Use when you need to retrieve all permission scopes for a project.
- `DEEPGRAM_LIST_THINK_MODELS` — List Think Models — Tool to list available think models for AI agent processing and voice agent configuration. Use when you need to see which think models are available for voice agents.
- `DEEPGRAM_SPEECH_TO_TEXT_PRE_RECORDED` — Transcribe Pre-recorded Audio — Tool to transcribe pre-recorded audio files into text. Use when converting a publicly accessible audio file URL to text. Primary transcript is at `results.channels[0].alternatives[0].transcript` in the response. Silent audio returns a valid empty transcript, not an error. Verify supported models and language codes via `DEEPGRAM_GET_MODELS` when uncertain.
- `DEEPGRAM_TEXT_TO_SPEECH_REST` — Text-to-Speech (REST) — Tool to convert text into natural-sounding speech. Use when you need TTS audio from text inputs.

## Auth

Auth schemes: `API_KEY`.

## How agents use Deepgram

Inside a Definable workflow, Deepgram is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Deepgram** — the Researcher (GPT-5.5) pulls context from Deepgram (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Deepgram** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Deepgram (create record, post message, draft email).
- **Designer / Engineer → Distributor → Deepgram** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Deepgram (attach file, open PR comment, post status).

The Verifier checks every Deepgram call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/
- transcription — https://definable.ai/apps/category/transcription/

## Related

- HTML page: https://definable.ai/apps/deepgram/
- Same category (artificial intelligence): https://definable.ai/apps/category/artificial-intelligence/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt