Eleven v4 Text to Speech
I-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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/tts/eleven-v4?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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/fil/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/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."
}
}
Tawagin ang modelong Eleven v4 Text to Speech (elevenlabs/tts/eleven-v4) sa pamamagitan ng Doitong API. Dokumentasyon para sa mga agent: https://doitong.com/fil/developers/models/elevenlabs/tts/eleven-v4.md
POST https://api.doitong.ru/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."
}
Kung ang response status ay "queued" o "running", i-poll ang GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 hanggang maging "succeeded"; nasa outputs[].url ang mga file. Ang POST https://api.doitong.ru/v1/quote/elevenlabs/tts/eleven-v4 na may parehong body ay nagbabalik ng eksaktong presyo bago patakbuhin.
Kahilingang ito: $0.014 14 kredito ng API · ≈ ₽1.50 Patakbuhin ito sa page na ito
Ang bago mong API key. Ipinapakita lang ito ngayon at nasa code at sa field ng API key sa ibaba na. Panatilihin itong sikreto: huwag kailanman ilagay sa code na tumatakbo sa browser.
Mga halimbawa
Bumuo ng kahilingan
Ang mga control ay binubuo mula sa schema ng modelo. Nagbabago ang code at presyo habang ina-adjust mo ang mga ito.
/run/elevenlabs/tts/eleven-v4?wait=20
presyo → $0.014
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/tts/eleven-v4?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "[whispers] Okay, everyone, gather close. [excited] The bread is finally out of the oven. [laughs] Fine, fine, one slice each, but only if you promise to save one for me."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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
}
}
}
Patakbuhin ang kahilingang ito
Nananatili ang iyong key sa browser na ito: ipinapadala lamang ito sa Doitong API at sine-save (localStorage) lamang kung pipiliin mo ang Tandaan. Kumuha ng API key
Tungkol sa Eleven v4 Text to Speech
Binibigkas ng Eleven v4 ang teksto gamit ang natural at emosyonal na mga boses at nauunawaan ang inline audio tag gaya ng [excited] o [whispering], pati ang mga pagbigkas sa IPA. Pumili ng boses, i-tune ang stability at similarity, itakda ang wika, at opsyonal na kumuha ng mga timestamp sa antas ng salita. Mga format na MP3, PCM, Opus at telephony.
Mga parameter
textkinakailangan
voiceopsyonal
stabilityopsyonal
similarity_boostopsyonal
seedopsyonal
language_codeopsyonal
output_formatopsyonal
+3 pa
opus_48000_96opus_48000_128opus_48000_192apply_text_normalizationopsyonal
timestampsopsyonal
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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Mga field ng output
- audio
- object {url, content_type, file_name, file_size}Audio file na ginawa sa pagbuo.
- timestamps
- array of any | nullTiming data ng nabuong speech, isinasama lamang sa mga kahilingang may `timestamps` na nakatakda sa True, na may timestamp para sa bawat salita.
Iba pang variant ng ElevenLabs v4
Higit pang modelo: Text patungong Speech
Para sa mga AI agent: nasa Markdown ang pahinang ito sa https://doitong.com/fil/developers/models/elevenlabs/tts/eleven-v4.md. Lahat ng modelo at gabay: https://doitong.com/developers/llms.txt