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Deepgram Aura-2 Text to Speech
speech-to-texttranscriptionttsaudiosentimentdata
Deepgram Aura-2 Text to Speech is a paid API for AI agents from Deepgram at deepgram.mpp.paywithlocus.com, paid per call via MPP, $0.023/call, not verified (last probed 2026-10-12); live alternatives: x402engine ElevenLabs Text-to-Speech ($0.02) and Google Gemini 3.1 Flash TTS ($0.0028).
Agents call it through Zero, which pays per call: no API key and no wallet of your own. New accounts start with $5. Live alternatives for the same use case: x402engine ElevenLabs Text-to-Speech ($0.02) · Google Gemini 3.1 Flash TTS ($0.0028).
Converts text to natural-sounding speech audio using Deepgram's Aura-2 TTS voice models
Price / call$0.023
Success47%
StatusUnknown
How this service works
Convert text to natural-sounding speech using Deepgram Aura-2 voices. Returns base64-encoded audio (MP3 by default). Choose from 46+ English voices and voices in Spanish, French, German, Dutch, Italian, and Japanese.
Output
Returns a binary audio file (default mp3) containing the synthesized speech. The response is a raw audio stream, typically tens of kilobytes to hundreds of kilobytes depending on text length. The original response example showed ~36KB for a short sentence.
Example use cases
Example prompt
“Read the following text aloud using Deepgram's Aura-2 Thalia voice and save it as an mp3: 'Welcome to our platform. We're glad you're here and hope you enjoy the experience.'”
Technical details
Endpoint
POSThttps://deepgram.mpp.paywithlocus.com/deepgram/speak?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need high-quality AI-generated speech audio powered by Deepgram's Aura-2 voice models, especially when you're already using Deepgram's ecosystem (transcription, analysis). Prefer this over generic TTS if you want Deepgram's specific Aura voice lineup, flexible audio encoding options (mp3, flac, opus, aac, mulaw), or need to pay per-call via USDC on a decentralized facilitator network.
Side effects
- Text exceeds recommended ~2000 character limit — may result in truncation or error
- Invalid voice model name format — must follow aura-2-{voice}-{lang} pattern
- Unsupported encoding/container combination — returns 400 error
- Empty or missing text field — returns validation error
- Network timeout for very long texts
- Unsupported sample_rate value — returns 400 error
Input
{
"text": "Hello, this is a test of the text to speech service. The weather is nice today."
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to convert to speech. Max ~2000 chars recommended per call. |
| model | string | TTS voice model (default: aura-2-thalia-en). Format: aura-2-{voice}-{lang}. E.g. aura-2-apollo-en, aura-2-thalia-en, aura-2-orion-en |
| encoding | string | Audio encoding (default: mp3). Options: mp3, linear16, flac, mulaw, alaw, opus, aac |
| container | string | Audio container format. Options: mp3, wav, ogg, none |
| sample_rate | string | Output sample rate in Hz (e.g. 24000, 16000, 8000) |
Output
{
"_truncated": true,
"_originalSize": 36219
}Tags
speech-to-texttranscriptionttsaudiosentimentdata
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Zero review prompt (fires after every successful call)
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