# google/gemini-2.5-pro/text-to-speech

> Google Gemini 2.5 Pro Text-to-Speech delivers natural multi-speaker voice synthesis with 30+ voices across 24 languages. Perfect for dialogues, conversations, and multilingual content. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

## Overview

- **Endpoint**: `https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech`
- **Polling/result URL**: `https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result`
- **Model ID**: `google/gemini-2.5-pro/text-to-speech`
- **Category**: text-to-audio

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
The API is asynchronous: submit a prediction, then poll its result URL until it completes.

### Input Schema

The API accepts the following input parameters:

- **`text`** (`string`, _required_):
  Styling instructions on how to synthesize the content in the text field.Less than or equal to 8,000 bytes

- **`language`** (`string`, _required_):
  Language spoken in the audio.
  - Default: `"English (United States)"`
  - Options: "Arabic (Egypt)", "Bangla (Bangladesh)", "Dutch (Netherlands)", "English (India)", "English (United States)", "French (France)", "German (Germany)", "Hindi (India)", "Indonesian (Indonesia)", "Italian (Italy)", "Japanese (Japan)", "Korean (South Korea)", "Marathi (India)", "Polish (Poland)", "Portuguese (Brazil)", "Romanian (Romania)", "Russian (Russia)", "Spanish (Spain)", "Tamil (India)", "Telugu (India)", "Thai (Thailand)", "Turkish (Turkey)", "Ukrainian (Ukraine)", "Vietnamese (Vietnam)"

- **`voice`** (`string`, _optional_):
  Voice for single-speaker synthesis. Ignored when speakers is provided.
  - Default: `"Kore"`
  - Options: "Achernar", "Achird", "Algenib", "Algieba", "Alnilam", "Aoede", "Autonoe", "Callirrhoe", "Charon", "Despina", "Enceladus", "Erinome", "Fenrir", "Gacrux", "Iapetus", "Kore", "Laomedeia", "Leda", "Orus", "Puck", "Pulcherrima", "Rasalgethi", "Sadachbia", "Sadaltager", "Schedar", "Sulafat", "Umbriel", "Vindemiatrix", "Zephyr", "Zubenelgenubi"

- **`speakers`** (`array of object`, _optional_):
  Array of terminoogies to use for translation. Optional: omit for single-speaker synthesis, in which case the voice field is used.



**Required Parameters Example**:

```json
{
  "text": "A clear example input",
  "language": "English (United States)"
}
```

**Full Example**:

```json
{
  "text": "A clear example input",
  "language": "English (United States)",
  "voice": "Kore",
  "speakers": []
}
```

### Result Data Schema

The `data` object returned by the API has the following fields:

- **`created_at`** (`string (date-time)`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array of string | object`, _optional_):
  Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example `data` Object**:

```json
{
  "created_at": "example",
  "id": "example",
  "model": "example",
  "outputs": [],
  "status": "example",
  "urls": {}
}
```

## Usage Examples

The examples use `jq` to read JSON. Set your API key first:

```bash
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
```

### 1. Submit a prediction

```bash
REQUEST_BODY=$(cat <<'JSON'
{
  "text": "A clear example input",
  "language": "English (United States)"
}
JSON
)

SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --request POST \
  --url https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech \
  --header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  --header "Content-Type: application/json" \
  --data "${REQUEST_BODY}")

printf '%s\n' "${SUBMIT_RESPONSE}" | jq .
```

The response contains the prediction ID in `data.id`.

### 2. Poll until complete and read `outputs`

```bash
PREDICTION_ID=$(printf '%s' "${SUBMIT_RESPONSE}" | jq -r '.data.id')
if [ -z "${PREDICTION_ID}" ] || [ "${PREDICTION_ID}" = "null" ]; then
  printf 'Submission response did not contain data.id\n' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    --request GET \
    --url "${RESULT_URL}" \
    --header "Authorization: Bearer ${WAVESPEED_API_KEY}")

  RESULT=$(printf '%s' "${RESPONSE}" | jq -e '.data')
  STATUS=$(printf '%s' "${RESULT}" | jq -er '.status')
  case "${STATUS}" in
    completed)
      # Generated files are returned in the outputs array.
      printf '%s\n' "${RESULT}" | jq '.outputs'
      break
      ;;
    failed|cancelled|timeout|deleted)
      printf '%s\n' "${RESULT}" | jq '{status, error, code}'
      exit 1
      ;;
    *)
      sleep 2
      ;;
  esac
done
```

## Additional Resources

### Documentation

- [Model Playground](https://wavespeed.ai/models/google/gemini-2.5-pro/text-to-speech)
- [API Documentation](https://wavespeed.ai/docs/docs-api/google/google-gemini-2.5-pro-text-to-speech)