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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.

text-to-audio
Input

Idle

$0.08per run·~12 / $1

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README

Gemini 2.5 Pro Text-to-Speech

Gemini 2.5 Pro Text-to-Speech is Google's advanced multi-speaker speech synthesis model that turns written dialogue into natural, expressive audio. It supports multiple speakers with distinct voices in a single generation, making it ideal for podcasts, conversations, audiobooks, and any content that needs realistic multi-voice narration.

Why Choose This?

  • Multi-speaker dialogue Assign different voices to different speakers and generate a natural-sounding conversation in one pass — no need to stitch separate audio clips together.

  • Expressive, natural voices Powered by Gemini 2.5 Pro, the voices carry natural intonation, pacing, and emotional range for lifelike results.

  • Multi-language support Supports a wide range of languages including Arabic (Egypt), Bangla (Bangladesh), Dutch (Netherlands), English (India), English (United States), French (France), German (Germany), Hindi (India), Indonesian (Indonesia), and more.

  • Flexible speaker setup Add as many speakers as your script needs, each with their own named voice. Simply write dialogue with speaker labels and the model handles the rest.

Parameters

ParameterRequiredDescription
textYesThe script or dialogue text. Use "Speaker: line" format for multi-speaker content.
languageYesLanguage and locale for synthesis (e.g., English (United States), French (France)).
speakersYesA list of speaker entries, each with a speaker name and a voice selection.

How to Use

  1. Write your script in the text field using the "Speaker: dialogue" format (e.g., "Rose: Welcome back to Tech Talk!").
  2. Select the language from the dropdown.
  3. Add speakers — for each speaker in your script, add an entry with the speaker name and choose a voice.
  4. Run — the model generates a single audio file with all speakers voiced naturally.
  5. Download the output audio.

Pricing

$0.08 per 1,000 characters of input text.

Billing Rules

  • Billed by text length, rounded up to the nearest 1,000 characters
  • Minimum charge is $0.08 (for texts up to 1,000 characters)

Examples

Text LengthCost
500 characters$0.08
1,000 characters$0.08
2,500 characters$0.24
5,000 characters$0.40
10,000 characters$0.80

Best Use Cases

  • Podcasts & Talk Shows — Generate multi-host audio content with distinct voices for each speaker.
  • Audiobooks & Narration — Bring stories to life with different character voices in a single generation.
  • E-learning & Training — Create engaging instructional audio with conversational dialogue.
  • Content Localization — Produce voiceovers in multiple languages for global audiences.
  • Prototyping & Pre-production — Quickly audition dialogue and voice pairings before recording with real talent.

Pro Tips

  • Use the "Speaker: dialogue" format consistently throughout your script to ensure correct voice assignment.
  • Make sure each speaker name in the text exactly matches the speaker name in the speakers list.
  • Keep dialogue natural — the model handles pacing and intonation best with conversational writing.
  • For long scripts, break content into logical segments to review quality before generating the full piece.

Notes

  • The number of available voices may vary by language. Experiment with different voice options to find the best fit for your content.
  • Please ensure your content complies with Google's usage policies.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Gemini 2.5 Pro Text To Speech API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Gemini 2.5 Pro Text To Speech below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

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

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "A clear example input",
        "language": "English (United States)"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "text": "A clear example input",
    "language": "English (United States)",
    "speakers": []
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/google/gemini-2.5-pro/text-to-speech", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Gemini 2.5 Pro Text To Speech API — Frequently asked questions

What is the Gemini 2.5 Pro Text To Speech API?

Gemini 2.5 Pro Text To Speech is a Google model for audio generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Gemini 2.5 Pro Text To Speech API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-gemini-2.5-pro-text-to-speech.

How much does Gemini 2.5 Pro Text To Speech cost per run?

Gemini 2.5 Pro Text To Speech starts at $0.080 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Gemini 2.5 Pro Text To Speech accept?

Key inputs: `language`, `speakers`, `text`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-gemini-2.5-pro-text-to-speech.

How long does Gemini 2.5 Pro Text To Speech take to generate?

Median end-to-end generation time on WaveSpeedAI is around 22 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Gemini 2.5 Pro Text To Speech outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Gemini 2.5 Pro Text to Speech | Realistic Voice & TTS API on WaveSpeedAI