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Deepgram Transcribe
speech-to-texttranscriptionttsaudiosentimentdata
Deepgram Transcribe is a paid API for AI agents from Deepgram at deepgram.mpp.paywithlocus.com, paid per call via MPP, $0.053/call, status unknown (last checked 2026-10-12).
Transcribes audio from a URL to text using Deepgram's Nova-3 speech-to-text model, with optional speaker diarization, sentiment, topics, intents, summaries, and entity extraction
Price / call$0.053
Success—
StatusUnknown
How this service works
Transcribe a pre-recorded audio file from a public URL using Deepgram Nova-3 (default). Returns the full transcript with optional enrichments: punctuation, speaker diarization, smart formatting, paragraphs, sentiment, summary, topics, intents, and entity detection.
Output
A structured response containing the full transcript text, optionally formatted with punctuation and paragraphs, speaker-labeled segments if diarization was requested, detected sentiment, topics, intents, a summary, and/or named entities depending on which optional features were enabled.
Example use cases
Example prompt
“Transcribe this audio file for me — https://example.com/meeting.mp3 — and turn on smart formatting, speaker diarization, and a summary so I can see who said what and what the meeting was about.”
Technical details
Endpoint
POSThttps://deepgram.mpp.paywithlocus.com/deepgram/transcribe?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to convert spoken audio from a publicly accessible URL into text, especially when you also need enrichments like speaker identification, sentiment detection, topic extraction, intents, entity recognition, or a summary in a single call. Prefer Deepgram's Nova-3 model for state-of-the-art accuracy on English audio. Use this over generic alternatives when you need a rich, structured transcription output beyond plain text.
Side effects
- Audio URL is not publicly accessible — returns an error indicating the file could not be fetched
- Unsupported audio format — returns an error about the file type
- Invalid language code — may fall back to default or return a validation error
- Unsupported model name — returns a 400 error with invalid model
- Audio file too large or too long — may time out or return a size limit error
- Network timeout fetching the remote audio URL
Input
{
"url": "https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3",
"model": "nova-3",
"diarize": true,
"language": "en",
"punctuate": true,
"sentiment": true,
"summarize": true,
"smart_format": true
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Publicly accessible URL of the audio file to transcribe |
| model | string | STT model to use (default: nova-3). Options: nova-3, nova-2, enhanced, base |
| topics | boolean | Identify topics discussed in the audio |
| diarize | boolean | Identify and label individual speakers |
| intents | boolean | Detect speaker intents throughout the audio |
| language | string | BCP-47 language code (default: en). E.g. es, fr, de, ja |
| punctuate | boolean | Add punctuation and capitalization |
| sentiment | boolean | Detect emotional sentiment throughout the audio |
| summarize | boolean | Generate a summary of the audio content |
| paragraphs | boolean | Split transcript into readable paragraphs |
| smart_format | boolean | Apply smart formatting (numbers, dates, punctuation). Recommended. |
| detect_entities | boolean | Extract named entities (people, places, organizations) |
Output
{
"data": {
"results": {
"summary": {
"short": "",
"result": "success"
},
"channels": [
{
"alternatives": [
{
"words": [],
"confidence": 0,
"paragraphs": {
"paragraphs": [],
"transcript": "\n"
},
"transcript": ""
}
]
}
],
"sentiments": {
"average": {
"sentiment": "neutral",
"sentiment_score": 0
},
"segments": []
}
},
"metadata": {
"models": [
"2187e11a-3532-4498-b076-81fa530bdd49"
],
"sha256": "cadd2666c5571e12fafdb21697b26aef6f196a5a9c28e708129870167679991d",
"created": "2026-04-29T04:01:00.130Z",
"channels": 1,
"duration": 372.71506,
"model_info": {
"2187e11a-3532-4498-b076-81fa530bdd49": {
"arch": "nova-3",
"name": "general-nova-3",
"version": "2025-07-31.0"
}
},
"request_id": "019dd765-aecf-74d1-8e20-aef3a5918f29",
"summary_info": {
"model_uuid": "67875a7f-c9c4-48a0-aa55-5bdb8a91c34a",
"input_tokens": 0,
"output_tokens": 0
},
"sentiment_info": {
"model_uuid": "80ab3179-d113-4254-bd6b-4a2f96498695",
"input_tokens": 0,
"output_tokens": 0
},
"transaction_key": "deprecated"
}
},
"success": true
}Tags
speech-to-texttranscriptionttsaudiosentimentdata
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