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POST
/
v3
/
gemini-2.5-flash-tts
Gemini 2.5 Flash TTS Text-to-Speech
curl --request POST \
  --url https://api.myrouter.ai/v3/gemini-2.5-flash-tts \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "contents": {
    "role": "<string>",
    "parts": {
      "text": "<string>"
    }
  },
  "generation_config": {
    "temperature": 123,
    "speech_config": {
      "voice_config": {
        "prebuilt_voice_config": {
          "voice_name": "<string>"
        }
      },
      "language_code": "<string>",
      "multi_speaker_voice_config": {
        "speaker_voice_configs": [
          {
            "speaker": "<string>",
            "voice_config": {
              "prebuilt_voice_config": {
                "voice_name": "<string>"
              }
            }
          }
        ]
      }
    }
  }
}
'
{
  "audioContent": "<string>",
  "usageMetadata": {
    "totalTokenCount": 123,
    "promptTokenCount": 123,
    "candidatesTokenCount": 123
  }
}
Converts text to speech based on the Vertex AI generateContent API. The request body format is fully consistent with the official Vertex AI API. Supports both synchronous (single request, single response) and streaming (single request, streamed response) modes. Output is in LINEAR16 PCM format (24kHz, mono, 16-bit signed little-endian) without a WAV header.

​
Request Headers

​
Content-Type
string
required
Enum: application/json
​
Authorization
string
required
Bearer authentication format: Bearer {{API Key}}.

​
Request Body

​
contents
object
required
​
generation_config
object
required

​
Response

​
audioContent
string
Base64 encoded audio content. Format is LINEAR16 PCM (24kHz, mono, 16-bit signed little-endian) without a WAV header. Clients can convert using ffmpeg: ffmpeg -f s16le -ar 24k -ac 1 -i input.raw output.wav
​
usageMetadata
object