Eleven v4 Text to Speech
Integrate
elevenlabs/tts/eleven-v4
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/elevenlabs/tts/eleven-v4?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/tts/eleven-v4?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/tts/eleven-v4", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "elevenlabs/tts/eleven-v4",
"input": {
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}
}
Call the Eleven v4 Text to Speech model (elevenlabs/tts/eleven-v4) through the Doitong API. Docs for agents: https://doitong.com/developers/models/elevenlabs/tts/eleven-v4.md
POST https://api.doitong.com/v1/run/elevenlabs/tts/eleven-v4?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/elevenlabs/tts/eleven-v4 with the same body returns the exact price before the run.
This request: $0.014 14 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Examples
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/elevenlabs/tts/eleven-v4?wait=20
quote → $0.014
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/elevenlabs/tts/eleven-v4?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/tts/eleven-v4?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/tts/eleven-v4", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "elevenlabs/tts/eleven-v4",
"input": {
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
},
"wait_seconds": 20
}
}
}
Run this request
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
About Eleven v4 Text to Speech
Eleven v4 reads text aloud in natural, emotional voices and understands inline audio tags such as [excited] or [whispering] as well as IPA pronunciations. Pick a voice, tune stability and similarity, set the language, and optionally get word-level timestamps. MP3, PCM, Opus and telephony formats.
Parameters
textrequired
voiceoptional
stabilityoptional
similarity_boostoptional
seedoptional
language_codeoptional
output_formatoptional
+3 more
opus_48000_96opus_48000_128opus_48000_192apply_text_normalizationoptional
timestampsoptional
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "elevenlabs/tts/eleven-v4",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 14,
"usd": "0.014",
"charged": 14,
"refunded": 0
},
"input": {
"text": "[excited] Hello! Welcome to the future of voice.",
"voice": "Aria"
},
"output": {
"audio": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_name": "0-output.mp3",
"file_size": 1843200
},
"timestamps": []
},
"outputs": [
{
"type": "audio",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_size": 1843200,
"duration": 12,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Fields of output
- audio
- object {url, content_type, file_name, file_size}Audio file produced by generation.
- timestamps
- array of any | nullGenerated-speech timing data, included only for requests with `timestamps` set to True, with a timestamp for every word.
Other ElevenLabs v4 variants
More models: Text to Speech
For AI agents: this page as Markdown is at https://doitong.com/developers/models/elevenlabs/tts/eleven-v4.md. All models and guides: https://doitong.com/developers/llms.txt