Deepgram Go Audio Intelligence

Using Deepgram Audio Intelligence from the Go SDK

When to use this product

Use this skill for /v1/listen REST requests that combine transcription with analytics overlays.

• summaries
• topics
• intents
• sentiments
• entity extraction
• language detection
• diarization and redaction where supported

Use a different skill when:

• you only need transcription (deepgram-go-speech-to-text)
• your input is already text (deepgram-go-text-intelligence)

Authentication

Set DEEPGRAM_API_KEY before creating the listen REST client.

export DEEPGRAM_API_KEY="your_api_key"

Quick start

package main

import (
	"context"
	"fmt"
	"log"

	api "github.com/deepgram/deepgram-go-sdk/v3/pkg/api/listen/v1/rest"
	listen "github.com/deepgram/deepgram-go-sdk/v3/pkg/client/listen"
	interfaces "github.com/deepgram/deepgram-go-sdk/v3/pkg/client/interfaces"
)

func main() {
	if err := run(); err != nil {
		log.Fatal(err)
	}
}

func run() error {
	ctx := context.Background()

	client := listen.NewRESTWithDefaults()
	dg := api.New(client)

	resp, err := dg.FromURL(
		ctx,
		"https://dpgr.am/spacewalk.wav",
		&interfaces.PreRecordedTranscriptionOptions{
			Model:     "nova-3",
			Summarize: "v2",
			Topics:    true,
			Sentiment: true,
		},
	)
	if err != nil {
		return err
	}

	if resp.Results.Summary != nil {
		fmt.Println(resp.Results.Summary.Result)
	}
	return nil
}

Key parameters

• analytics live on interfaces.PreRecordedTranscriptionOptions
  • Summarize (for example, "v2")
  • Topics
  • Intents
  • Sentiment
  • DetectLanguage
  • DetectEntities
  • Diarize
  • DiarizeModel
  • Redact
• response payloads are in pkg/api/listen/v1/rest/interfaces/types.go
  • Sentiments
  • Topics
  • Intents
  • Entities
  • SummaryV2
• this SDK is REST-first for audio intelligence; the live WS option struct does not expose the same analytics surface

API reference (layered)

1. In-repo reference
   • README.md
   • docs.go
   • pkg/client/listen/v1/rest/client.go
   • pkg/client/interfaces/v1/types-prerecorded.go
   • pkg/client/interfaces/v1/types-stream.go
   • pkg/api/listen/v1/rest/interfaces/types.go
2. OpenAPI
   • https://developers.deepgram.com/openapi.yaml
3. AsyncAPI
   • https://developers.deepgram.com/asyncapi.yaml
4. Context7
   • /llmstxt/developers_deepgram_llms_txt
5. Product docs
   • https://developers.deepgram.com/docs/stt-intelligence-feature-overview
   • https://developers.deepgram.com/docs/summarization
   • https://developers.deepgram.com/docs/topic-detection
   • https://developers.deepgram.com/docs/intent-recognition
   • https://developers.deepgram.com/docs/sentiment-analysis
   • https://developers.deepgram.com/docs/language-detection
   • https://developers.deepgram.com/docs/redaction
   • https://developers.deepgram.com/docs/diarization

Gotchas

1. In this SDK snapshot, audio intelligence is effectively a prerecorded REST feature set.
2. LiveTranscriptionOptions does not expose the same summarize/topic/intent/sentiment/entity surface.
3. REST helpers live on pkg/api/listen/v1/rest; start from api.New(listen.NewRESTWithDefaults()), then layer analytics flags onto PreRecordedTranscriptionOptions.

Example files in this repo

• examples/speech-to-text/rest/summary/main.go
• examples/speech-to-text/rest/sentiment/main.go
• examples/speech-to-text/rest/topic/main.go
• examples/speech-to-text/rest/intent/main.go

Central product skills

For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).