Workflow Utilities | Audio to Audio

fal-ai/workflow-utilities/impulse-response

FFMPEG Utility for Impulse Response

Inference

Commercial use

Schema

LLMs

Playground API

About

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.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API 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.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

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",
});

Fetch request status#

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,
});

Get the result#

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);

4. Files#

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.

Data URI (base64)#

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.

Hosted files (URL)#

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.

Uploading files#

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);

Auto uploads

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.

5. Schema#

Input#

audio_url string* required

URL of the main audio file to process

impulse_response_url string* required

URL of the impulse response WAV file (reverb/effect profile)

dry_level float

Level of the original (dry) signal in the mix (0.0-1.0) Default value: 0.7

wet_level float

Level of the processed (wet) signal in the mix (0.0-1.0) Default value: 0.3

loudness_i float

Target integrated loudness in LUFS (typically -24 to -14) Default value: -18

loudness_lra float

Loudness Range target in LU (typically 5-15) Default value: 8

loudness_tp float

Maximum true peak in dBTP (typically -2 to -1) Default value: -1.5

output_bitrate OutputBitrateEnum

Output 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"
}

Output#

audio AudioFile* required

The processed audio file with reverb applied

{
  "audio": {
    "file_size": 2456789,
    "file_name": "impulse_output.wav",
    "content_type": "application/octet-stream",
    "url": "https://v3b.fal.media/files/b/panda/impulse_output.wav"
  }
}

Other types#

Image#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

AudioFile#

url string* required

URL of the audio file

content_type string* required

Content type of the audio file

file_name string* required

Name of the audio file

file_size integer* required

Size of the audio file in bytes

SubtitleSegment#

start float* required

Start time in seconds (e.g., 0.0 for beginning, 5.5 for 5.5 seconds)

end float* required

End time in seconds (must be greater than start time)

text string* required

Subtitle text to display (supports multiple lines with )

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

EQBand#

frequency float* required

Center frequency in Hz (20-20000)

width float

Bandwidth in Hz Default value: 100

gain float* required

Gain in dB (-30 to 30, negative = cut, positive = boost)

Workflow Utilities Audio to Audio

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

Image#

AudioFile#

SubtitleSegment#

File#

EQBand#