VEED Clean Audio
Integrēt
veed/clean-audio
# 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/veed/clean-audio?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veed/clean-audio?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/veed/clean-audio", 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/lv/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": "veed/clean-audio",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
}
Izsauciet VEED Clean Audio modeli (veed/clean-audio), izmantojot Doitong API. Dokumentācija aģentiem: https://doitong.com/lv/developers/models/veed/clean-audio.md
POST https://api.doitong.com/v1/run/veed/clean-audio?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
Ja atbildes statuss ir "queued" vai "running", periodiski izsauciet GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20, līdz tas kļūst par "succeeded"; faili atrodas outputs[].url. POST https://api.doitong.com/v1/quote/veed/clean-audio ar to pašu pamattekstu atgriež precīzu cenu pirms izpildes.
Faili, piemēram, paraugā: 0,013 $ 13 API kredītu jūsu faili tiek izmērīti pirms izpildes Izpildīt šajā lapā
Jūsu jaunā API atslēga. Tā tiek parādīta tikai tagad un jau ir ievietota kodā un tālāk esošajā API atslēgas laukā. Glabājiet to noslēpumā: nekad neievietojiet to kodā, kas darbojas pārlūkprogrammā.
Šeit būs jūsu pirmais rezultāts
Izveidojiet pieprasījumu tālāk un izpildiet to ar savu API atslēgu. Izvades tiek kopētas mūsu krātuvē un glabātas mūžīgi vai 7 dienas bez maksas.
Izveidot pieprasījumu
Vadīklas tiek ģenerētas no modeļa shēmas. Kods un cena tiek atjaunināti, kad tos maināt.
/run/veed/clean-audio?wait=20
cena → 0,013 $
# 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/veed/clean-audio?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veed/clean-audio?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/veed/clean-audio", 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": "veed/clean-audio",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
},
"wait_seconds": 20
}
}
}
Palaist šo pieprasījumu
Jūsu atslēga paliek šajā pārlūkprogrammā: tā tiek nosūtīta tikai uz Doitong API un saglabāta (localStorage) tikai tad, ja atzīmējat Atcerēties. Iegūt API atslēgu
Par VEED Clean Audio
Noņem fona troksni runas ierakstiem. `audio_url` pieņem jebkuru audio vai video formātu, ko var dekodēt ffmpeg. `strength` (0-1) nosaka slāpēšanas apjomu runas laikā, bet `target_lufs` (-40 līdz -8) nosaka izvades skaļumu vai arī to var izlaist. Izvade ir 48 kHz mono 16-bit formātā kā flac vai wav, saglabājot ievades ilgumu.
Parametri
Nosūti vai nu kanonisko nosaukumu, vai vietējo nosaukumu, bet ne abus. Kan啤niskie nosaukumi
audio_urlobligāts
audio
strengthneobligāts
target_lufsneobligāts
output_formatneobligāts
Failu parametriem nepieciešams publisks https:// URL, data: URI līdz 10 MB vai augšupielādes file_url. Faili
Izvade
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "veed/clean-audio",
"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": 13,
"usd": "0.013",
"charged": 13,
"refunded": 0
},
"input": {
"audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
},
"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
},
"audio_duration": 1.0
},
"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"
}
}
Izvades lauki
- audio
- object {url, content_type, file_name, file_size}Iztīrīts audio ar tādu pašu ilgumu kā avotam un lietotu skaļuma normalizēšanu. Ierakstam ir viens kanāls, 48 kHz iztveršanas frekvence un 16 bitu dziļums.
- audio_duration
- numberIevades ilgums, mērīts sekundēs.
Citi VEED Fabric varianti
Vairāk modeļu: Audio
AI aģentiem: šī lapa Markdown formātā ir pieejama https://doitong.com/lv/developers/models/veed/clean-audio.md. Visi modeļi un ceļveži: https://doitong.com/developers/llms.txt