ElevenLabs Speech to Text
Integruoti
elevenlabs/speech-to-text
# 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/speech-to-text?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/speech-to-text?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/speech-to-text", 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/lt/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/speech-to-text",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
}
Iškvieskite ElevenLabs Speech to Text modelį (elevenlabs/speech-to-text) per Doitong API. Dokumentacija agentams: https://doitong.com/lt/developers/models/elevenlabs/speech-to-text.md
POST https://api.doitong.com/v1/run/elevenlabs/speech-to-text?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
Jei atsakymo būsena yra "queued" arba "running", siųskite GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 užklausas, kol būsena taps "succeeded"; failai pateikiami outputs[].url. POST https://api.doitong.com/v1/quote/elevenlabs/speech-to-text su tuo pačiu turiniu grąžina tikslią kainą prieš paleidimą.
Failai kaip pavyzdyje: 0,03 $ 30 API kreditų jūsų failai išmatuojami prieš paleidimą Paleisti šiame puslapyje
Jūsų naujas API raktas. Jis rodomas tik dabar ir jau įrašytas kode bei toliau esančiame API rakto lauke. Saugokite jį paslaptyje: niekada nedėkite jo į kodą, kuris vykdomas naršyklėje.
Čia bus pirmasis jūsų rezultatas
Sukurkite užklausą toliau ir paleiskite ją naudodami savo API raktą. Išvestys nukopijuojamos į mūsų saugyklą ir saugomos neribotą laiką arba 7 dienos nemokamai.
Sukurti užklausą
Valdikliai sugeneruojami pagal modelio schemą. Keisdami juos atnaujinsite kodą ir kainą.
/run/elevenlabs/speech-to-text?wait=20
kaina → 0,03 $
# 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/speech-to-text?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/speech-to-text?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/speech-to-text", 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/speech-to-text",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
},
"wait_seconds": 20
}
}
}
Vykdyti šią užklausą
Jūsų raktas lieka šioje naršyklėje: jis siunčiamas tik į Doitong API ir išsaugomas (localStorage) tik pažymėjus Prisiminti. Gauti API raktą
Apie ElevenLabs Speech to Text
Transkribuoja garso failą į tekstą. Nustatykite `language_code` arba palikite jį tuščią, kad kalba būtų aptikta. `diarize` nurodo, kas kalba, o `tag_audio_events` žymi tokius garsus kaip juokas; abu pagal numatytuosius nustatymus įjungti. Išvestyje pateikiamas visas tekstas, kalba ir jos aptikimo patikimumas bei žodžių lygio informacija.
Parametrai
Siųskite arba kanoninį, arba savąjį pavadinimą, bet ne abu. Kanoniniai pavadinimai
audio_urlprivaloma
audio
language_codeneprivalomas
tag_audio_eventsneprivalomas
diarizeneprivalomas
Failų parametrams reikia viešo https:// URL, ne didesnio nei 10 MB data: URI arba įkelto failo file_url. Failai
Išvestis
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "elevenlabs/speech-to-text",
"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": 30,
"usd": "0.03",
"charged": 30,
"refunded": 0
},
"input": {
"audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
},
"output": {
"text": "string",
"language_code": "string",
"language_probability": 1.0,
"words": [
{
"text": "string",
"start": 1.0,
"end": 1.0,
"type": "string",
"speaker_id": "string"
}
]
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"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"
}
}
Išvesties laukai
- text
- stringVisas transkripcijos tekstas.
- language_code
- stringAptikus arba aiškiai nurodžius gautas kalbos kodas.
- language_probability
- numberAptiktos kalbos patikimumo įvertis.
- words
- array of object {text, start, end, type, speaker_id}Atskirų žodžių transkripcijos informacija.
Kiti ElevenLabs Speech to Text variantai
Daugiau modelių: Kalba į tekstą
AI agentams: šis puslapis Markdown formatu pateikiamas adresu https://doitong.com/lt/developers/models/elevenlabs/speech-to-text.md. Visi modeliai ir vadovai: https://doitong.com/developers/llms.txt