AUDIO

Endpoint:

https://api.hyprlab.io/v1/text:synthesize

Curl:

curl -X POST -H "Content-Type: application/json" \
-H "Authorization: Bearer $HYPRLAB_API_KEY" \
--data '{
  "input": {
    "markup": "Let me take a look, [pause long] yes, I see it."
  },
  "voice": {
    "languageCode": "en-US",
    "name": "en-US-Chirp3-HD-Aoede"
  },
  "audioConfig": {
    "audioEncoding": "MP3"
  }
}' "https://api.hyprlab.io/v1/text:synthesize" | \
jq -r '.audioContent' | base64 -d > output.mp3

Node.js:

const axios = require("axios");
const fs = require("fs");

// API endpoint and headers
const url = "https://api.hyprlab.io/v1/text:synthesize";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer $HYPRLAB_API_KEY",
};

// Request payload
const data = {
  input: {
    markup: "Let me take a look, [pause long] yes, I see it.",
  },
  voice: {
    languageCode: "en-US",
    name: "en-US-Chirp3-HD-Aoede",
  },
  audioConfig: {
    audioEncoding: "MP3",
  },
};

// Make the request
axios
  .post(url, data, { headers })
  .then((response) => {
    // Extract base64 audio content and decode it
    const audioContent = response.data.audioContent;
    const audioBuffer = Buffer.from(audioContent, "base64");

    // Save as MP3
    fs.writeFileSync("output.mp3", audioBuffer);
    console.log("Audio saved as output.mp3");
  })
  .catch((error) => {
    console.error("Error:", error);
  });

Python:

import requests
import base64

# API endpoint and headers
url = "https://api.hyprlab.io/v1/text:synthesize"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $HYPRLAB_API_KEY"
}

# Request payload
data = {
    "input": {
        "markup": "Let me take a look, [pause long] yes, I see it."
    },
    "voice": {
        "languageCode": "en-US",
        "name": "en-US-Chirp3-HD-Aoede"
    },
    "audioConfig": {
        "audioEncoding": "MP3"
    }
}

# Make the request
response = requests.post(url, json=data, headers=headers)

# Extract base64 audio content and decode it
audio_content = response.json()["audioContent"]
audio_data = base64.b64decode(audio_content)

# Save as MP3
with open("output.mp3", "wb") as f:
    f.write(audio_data)

SEE MORE: https://cloud.google.com/text-to-speech/docs/chirp3-hd

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🔊 TTS Model

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Model Name:	Pricing:
chirp-3	$20 / 1M Characters

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