FFMPEG Utility for Impulse Response
fal-ai/workflow-utilities/impulse-response
FFMPEG Utility for Impulse Response
Inference
Commercial use
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Apply impulse response (IR) convolution reverb to audio.
Uses FFmpeg's afir filter to convolve the input audio with an impulse response file, creating realistic reverb and spatial effects. Supports wet/dry mix control and loudness normalization.
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/workflow-utilities/impulse-response", {
input: {
audio_url: "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.wav",
impulse_response_url: "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.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/workflow-utilities/impulse-response", {
input: {
audio_url: "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.wav",
impulse_response_url: "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.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/workflow-utilities/impulse-response", {
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/workflow-utilities/impulse-response", {
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 main audio file to process
impulse_response_url string* requiredURL of the impulse response WAV file (reverb/effect profile)
dry_level floatLevel of the original (dry) signal in the mix (0.0-1.0) Default value: 0.7
wet_level floatLevel of the processed (wet) signal in the mix (0.0-1.0) Default value: 0.3
loudness_i floatTarget integrated loudness in LUFS (typically -24 to -14) Default value: -18
loudness_lra floatLoudness Range target in LU (typically 5-15) Default value: 8
loudness_tp floatMaximum true peak in dBTP (typically -2 to -1) Default value: -1.5
output_bitrate OutputBitrateEnumOutput audio bitrate Default value: "192k"
Possible enum values: 128k, 192k, 256k, 320k
{
"audio_url": "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.wav",
"impulse_response_url": "https://v3.fal.media/files/panda/1-0iezBUIePBa3Sz5YY5B_tmpy1jyshw9.wav",
"dry_level": 0.7,
"wet_level": 0.3,
"loudness_i": -18,
"loudness_lra": 8,
"loudness_tp": -1.5,
"output_bitrate": "192k"
}The processed audio file with reverb applied
{
"audio": {
"file_name": "impulse_output.wav",
"url": "https://v3b.fal.media/files/b/panda/impulse_output.wav",
"file_size": 2456789,
"content_type": "application/octet-stream"
}
}url string* requiredURL of the audio file
content_type string* requiredContent type of the audio file
file_name string* requiredName of the audio file
file_size integer* requiredSize of the audio file in bytes