Transform audio (voice-changer, stem separation, video→audio extraction, …)
curl --request POST \
--url https://api.infery.ai/v1/audio/transformations \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"audio_url": "<string>",
"video_url": "<string>",
"response_format": "<string>"
}
'import requests
url = "https://api.infery.ai/v1/audio/transformations"
payload = {
"model": "<string>",
"audio_url": "<string>",
"video_url": "<string>",
"response_format": "<string>"
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
audio_url: '<string>',
video_url: '<string>',
response_format: '<string>'
})
};
fetch('https://api.infery.ai/v1/audio/transformations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.infery.ai/v1/audio/transformations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'audio_url' => '<string>',
'video_url' => '<string>',
'response_format' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.infery.ai/v1/audio/transformations"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.infery.ai/v1/audio/transformations")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.infery.ai/v1/audio/transformations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1713204900,
"data": [
{
"url": "https://fal.media/files/.../output.mp3",
"b64_audio": "<string>",
"content_type": "audio/mpeg",
"duration_seconds": 12.5
}
],
"credits_used": 40
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}Audio
Transform audio
POST /v1/audio/transformations
POST
/
v1
/
audio
/
transformations
Transform audio (voice-changer, stem separation, video→audio extraction, …)
curl --request POST \
--url https://api.infery.ai/v1/audio/transformations \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"audio_url": "<string>",
"video_url": "<string>",
"response_format": "<string>"
}
'import requests
url = "https://api.infery.ai/v1/audio/transformations"
payload = {
"model": "<string>",
"audio_url": "<string>",
"video_url": "<string>",
"response_format": "<string>"
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
audio_url: '<string>',
video_url: '<string>',
response_format: '<string>'
})
};
fetch('https://api.infery.ai/v1/audio/transformations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.infery.ai/v1/audio/transformations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'audio_url' => '<string>',
'video_url' => '<string>',
'response_format' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.infery.ai/v1/audio/transformations"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.infery.ai/v1/audio/transformations")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.infery.ai/v1/audio/transformations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"audio_url\": \"<string>\",\n \"video_url\": \"<string>\",\n \"response_format\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1713204900,
"data": [
{
"url": "https://fal.media/files/.../output.mp3",
"b64_audio": "<string>",
"content_type": "audio/mpeg",
"duration_seconds": 12.5
}
],
"credits_used": 40
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}{
"error": {
"message": "Model not found",
"type": "invalid_request_error",
"code": "model_not_found",
"param": "model",
"job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
}
}Voice changing, stem separation, extracting the audio from a video — the transformations that take audio in and give audio back, as opposed to speech synthesis or transcription.
Authorizations
API key in format: Bearer inf_***
Body
application/json
Model ID to use for the transformation
Source audio URL — required for audio-input models (voice-changer, demucs)
Source video URL — required for video-input models (video→audio extraction)
Requested output audio format (model-dependent; applied best-effort)