Chatterbox Text to Speech is a fast AI TTS model that converts text into expressive speech with optional reference audio, emotive tags, and delivery controls. Ready-to-use REST inference API for voice generation, narration, character dialogue, dubbing, virtual assistants, creator content, and professional text-to-speech workflows with simple integration, no coldstarts, and affordable pricing.
待機中
$0.031回あたり·~33 / $1
Chatterbox Text-to-Speech converts text into expressive speech with optional reference-audio guidance and adjustable generation controls. It is suitable for narration, character voice prototyping, creator voiceovers, and other prompt-free speech generation workflows where you want simple text input plus style tuning.
Text-to-speech generation
Turn written text into spoken audio with a simple workflow.
Optional reference voice guidance
Add reference_audio when you want the generated voice to follow a particular tone or vocal style.
Expressiveness control
Use exaggeration to make the delivery more restrained or more expressive.
Generation tuning
Adjust temperature and cfg for different levels of variation and prompt adherence.
Production-ready API
Useful for voiceovers, demos, creator content, character voice testing, and narration workflows.
| Parameter | Required | Description |
|---|---|---|
| text | Yes | Text to synthesize into speech. |
| reference_audio | No | Optional reference audio used to guide the generated voice style. |
| exaggeration | No | Controls how expressive or exaggerated the generated delivery sounds. |
| temperature | No | Controls randomness and variation in the generated speech. |
| cfg | No | Guidance setting used to influence generation behavior. |
Welcome to wavespeed! It's nice to meet you!
Pricing is based on the length of the input text.
| Text Length | Cost |
|---|---|
| 1–1000 characters | $0.03 |
| 1001–2000 characters | $0.06 |
| 2001–3000 characters | $0.09 |
| 3001–4000 characters | $0.12 |
| 4001–5000 characters | $0.15 |
reference_audio, exaggeration, temperature, and cfg do not affect pricingreference_audio only when you want stronger voice-style guidance.exaggeration for calm narration and raise it for more dramatic delivery.temperature when you want more variation, or keep it lower for steadier results.text is required.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/chatterbox/text-to-speech with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Text To Speech below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"text": "A clear example input",
"exaggeration": 0.25,
"temperature": 0.7,
"cfg": 0.5
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/chatterbox/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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/chatterbox/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"text": "A clear example input",
"exaggeration": 0.25,
"temperature": 0.7,
"cfg": 0.5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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",
"exaggeration": 0.25,
"temperature": 0.7,
"cfg": 0.5
}
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/chatterbox/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)Text To Speech is a Chatterbox model for audio generation, exposed as a REST API on WaveSpeedAI. Chatterbox Text to Speech is a fast AI TTS model that converts text into expressive speech with optional reference audio, emotive tags, and delivery controls. Ready-to-use REST inference API for voice generation, narration, character dialogue, dubbing, virtual assistants, creator content, and professional text-to-speech workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
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/chatterbox/chatterbox-text-to-speech.
Text To Speech starts at $0.030 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.
Key inputs: `cfg`, `exaggeration`, `reference_audio`, `temperature`, `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/chatterbox/chatterbox-text-to-speech.
Median end-to-end generation time on WaveSpeedAI is around 9 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Chatterbox). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.