Ffmpeg Api · Loudnorm
集成
模型 id
ffmpeg-api/loudnorm
# 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/ffmpeg-api/loudnorm?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ffmpeg-api/loudnorm?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/ffmpeg-api/loudnorm", 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/zh-CN/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": "ffmpeg-api/loudnorm",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
}
通过 Doitong API 调用 Ffmpeg Api · Loudnorm 模型(ffmpeg-api/loudnorm)。智能体文档:https://doitong.com/zh-CN/developers/models/ffmpeg-api/loudnorm.md
POST https://api.doitong.com/v1/run/ffmpeg-api/loudnorm?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到状态变为 "succeeded";文件位于 outputs[].url。使用相同请求体 POST https://api.doitong.com/v1/quote/ffmpeg-api/loudnorm,可在运行前返回确切价格。
每次运行最高 $0.306 按实际用量收费,剩余部分退款 在此页面运行
你的新 API 密钥。 它只会在此时显示,并且已填入下方的代码和 API 密钥字段中。请妥善保管:切勿将其放入在浏览器中运行的代码里。
构建请求
控件根据模型架构生成。修改控件时,代码和价格会同步更新。
POST
/run/ffmpeg-api/loudnorm?wait=20
报价 → $0.306
# 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/ffmpeg-api/loudnorm?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ffmpeg-api/loudnorm?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/ffmpeg-api/loudnorm", 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": "ffmpeg-api/loudnorm",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
},
"wait_seconds": 20
}
}
}
关于 Ffmpeg Api · Loudnorm
对 `audio_url` 中的文件应用响度标准化。目标包括 `integrated_loudness`(-70 到 -5 LUFS)、`true_peak`(-9 到 0 dBTP)和 `loudness_range`(1 到 20 LU)。动态双遍模式为默认模式。线性单遍模式需要输入的测量值,并可返回测量摘要。
参数
发送规范名称或原生名称之一,不要同时发送两者。 规范名称
名称类型
默认值允许值
描述
audio_url必填
audio
类型url · audio
指向需要规范化的音频文件的 URL。
integrated_loudness可选
类型number
默认值-18
-70 – -5
综合响度目标值,单位为 LUFS。
true_peak可选
类型number
默认值-0.1
-9 – 0
真峰值上限,单位为 dBTP。
loudness_range可选
类型number
默认值7
1 – 20
响度目标范围,单位为 LU。
offset可选
类型number
默认值0
-99 – 99
增益偏移量,单位为 dB,在真峰值限制器之前应用。
linear可选
类型boolean
默认值false
规范化模式选择器:false 选择质量更高的两遍动态处理;true 选择单遍线性处理。
dual_mono可选
类型boolean
默认值false
是否将单声道输入视为双单声道,以确保 EBU R128 响度测量在立体声系统上正确。
print_summary可选
类型boolean
默认值false
在规范化音频旁附带响度测量摘要。
measured_i可选
类型number | null
-99 – 0
线性模式要求从输入文件中获取的综合响度测量值,单位为 LUFS。
measured_lra可选
类型number | null
0 – 99
线性模式所需的响度范围测量值,从输入文件中获取,单位为 LU。
measured_tp可选
类型number | null
-99 – 99
线性模式所需的真峰值测量值,从输入文件中获取,单位为 dBTP。
measured_thresh可选
类型number | null
-99 – 0
输入音频测得的阈值,单位为 LUFS;使用线性模式时必需。
必填
规范名称,也可接受
文件参数接受公开的 https:// URL、最大 10 MB 的 data: URI,或上传文件的 file_url。 文件
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "ffmpeg-api/loudnorm",
"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": 306,
"usd": "0.306",
"charged": 306,
"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
},
"summary": {
"input_integrated": 1.0,
"input_true_peak": 1.0,
"input_lra": 1.0,
"input_threshold": 1.0,
"output_integrated": 1.0,
"output_true_peak": 1.0,
"output_lra": 1.0,
"output_threshold": 1.0,
"normalization_type": "string",
"target_offset": 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"
}
}
文件由你选择每个 outputs[].url 都是我们存储中的副本:可永久保存(按 GB-月付费),也可免费保存 7 天,由账户设置或 ?storage= 决定。
所有模型的结构一致图像、视频和音频的字段均为 type、url、content_type、width、height 和 duration。output 是模型自身的结果对象。
输出字段
- audio
- object {url, content_type, file_name, file_size}规范化后的音频文件。
- summary
- object {input_integrated, input_true_peak, input_lra, input_threshold, output_integrated, output_true_peak, output_lra, output_threshold, normalization_type, target_offset} | null请求时返回的结构化响度测量摘要。
其他 FFmpeg API 变体
更多模型:音频
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh-CN/developers/models/ffmpeg-api/loudnorm.md. 所有模型和指南: https://doitong.com/developers/llms.txt