Apply EBU R128 loudness normalization to audio files.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("fal-ai/ffmpeg-api/loudnorm", {
input: {
audio_url: "https://storage.googleapis.com/falserverless/example_inputs/ffmpeg-audio.wav"
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.data);
console.log(result.requestId);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.
The client API provides a convenient way to submit requests to the model.
import { fal } from "@fal-ai/client";
const { request_id } = await fal.queue.submit("fal-ai/ffmpeg-api/loudnorm", {
input: {
audio_url: "https://storage.googleapis.com/falserverless/example_inputs/ffmpeg-audio.wav"
},
webhookUrl: "https://optional.webhook.url/for/results",
});You can fetch the status of a request to check if it is completed or still in progress.
import { fal } from "@fal-ai/client";
const status = await fal.queue.status("fal-ai/ffmpeg-api/loudnorm", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.
import { fal } from "@fal-ai/client";
const result = await fal.queue.result("fal-ai/ffmpeg-api/loudnorm", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.
You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.
You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.
We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.
import { fal } from "@fal-ai/client";
const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).
Read more about file handling in our file upload guide.
audio_url string* requiredURL of the audio file to normalize
integrated_loudness floatIntegrated loudness target in LUFS. Default value: -18
true_peak floatMaximum true peak in dBTP. Default value: -0.1
loudness_range floatLoudness range target in LU Default value: 7
offset floatOffset gain in dB applied before the true-peak limiter
linear booleanUse linear normalization mode (single-pass). If false, uses dynamic mode (two-pass for better quality).
dual_mono booleanTreat mono input files as dual-mono for correct EBU R128 measurement on stereo systems
print_summary booleanReturn loudness measurement summary with the normalized audio
measured_i floatMeasured integrated loudness of input file in LUFS. Required for linear mode.
measured_lra floatMeasured loudness range of input file in LU. Required for linear mode.
measured_tp floatMeasured true peak of input file in dBTP. Required for linear mode.
measured_thresh floatMeasured threshold of input file in LUFS. Required for linear mode.
{
"audio_url": "https://storage.googleapis.com/falserverless/example_inputs/ffmpeg-audio.wav",
"integrated_loudness": -18,
"true_peak": -0.1,
"loudness_range": 7
}Normalized audio file
Structured loudness measurement summary (if requested)
{
"audio": {
"url": "",
"content_type": "image/png",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
}
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
input_integrated floatInput integrated loudness in LUFS
input_true_peak floatInput true peak in dBTP
input_lra floatInput loudness range in LU
input_threshold floatInput threshold in LUFS
output_integrated floatOutput integrated loudness in LUFS
output_true_peak floatOutput true peak in dBTP
output_lra floatOutput loudness range in LU
output_threshold floatOutput threshold in LUFS
normalization_type stringType of normalization applied (Dynamic/Linear)
target_offset floatTarget offset in LU