Language Detection Batch

POST

api

velma-2-language-detection-batch

Identify the spoken language of an audio file

curl --request POST \
  --url https://platform.modulate.ai/api/velma-2-language-detection-batch \
  --header 'Content-Type: multipart/form-data' \
  --header 'X-API-Key: <api-key>' \
  --form upload_file='@example-file'

import requests

url = "https://platform.modulate.ai/api/velma-2-language-detection-batch"

files = { "upload_file": ("example-file", open("example-file", "rb")) }
headers = {"X-API-Key": "<api-key>"}

response = requests.post(url, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('upload_file', '<string>');

const options = {method: 'POST', headers: {'X-API-Key': '<api-key>'}};

options.body = form;

fetch('https://platform.modulate.ai/api/velma-2-language-detection-batch', 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://platform.modulate.ai/api/velma-2-language-detection-batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($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://platform.modulate.ai/api/velma-2-language-detection-batch"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://platform.modulate.ai/api/velma-2-language-detection-batch")
  .header("X-API-Key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.modulate.ai/api/velma-2-language-detection-batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "predicted_language": "English",
  "predicted_language_code": "en",
  "confidence": 0.9847,
  "duration_ms": 14253
}

Authorizations

X-API-Key

string

header

required

API key used for authentication and usage tracking.

Body

multipart/form-data

upload_file

file

required

Audio file to analyze. Must be non-empty. Supported formats: .aac, .aiff, .flac, .mov, .mp3, .mp4, .ogg, .opus, .wav, .webm. Maximum file size: 100 MB.

Response

Language detection completed successfully.

predicted_language

string

required

Human-readable language name (e.g. "English", "French", "Mandarin"). Suitable for display to end users.

Example:

"English"

predicted_language_code

string

required

Lowercase ISO 639-1 language code (e.g. "en", "fr", "zh"). Suitable for routing, locale switching, or BCP-47 tags.

Example:

"en"

confidence

number<double>

required

Probability associated with the predicted language, in the range 0.0-1.0. Higher means more confident.

Required range: 0 <= x <= 1

Example:

0.9847

duration_ms

integer

required

Total duration of the decoded audio in milliseconds. Note: only the first 30 seconds are analyzed regardless of this value.

Required range: x >= 0

Example:

14253

Language Detection

⌘I

Identify the spoken language of an audio file

curl --request POST \
  --url https://platform.modulate.ai/api/velma-2-language-detection-batch \
  --header 'Content-Type: multipart/form-data' \
  --header 'X-API-Key: <api-key>' \
  --form upload_file='@example-file'

import requests

url = "https://platform.modulate.ai/api/velma-2-language-detection-batch"

files = { "upload_file": ("example-file", open("example-file", "rb")) }
headers = {"X-API-Key": "<api-key>"}

response = requests.post(url, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('upload_file', '<string>');

const options = {method: 'POST', headers: {'X-API-Key': '<api-key>'}};

options.body = form;

fetch('https://platform.modulate.ai/api/velma-2-language-detection-batch', 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://platform.modulate.ai/api/velma-2-language-detection-batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($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://platform.modulate.ai/api/velma-2-language-detection-batch"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://platform.modulate.ai/api/velma-2-language-detection-batch")
  .header("X-API-Key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.modulate.ai/api/velma-2-language-detection-batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "predicted_language": "English",
  "predicted_language_code": "en",
  "confidence": 0.9847,
  "duration_ms": 14253
}

Velma

Speech-to-text Transcription

Deepfake Detection

Emotion Detection

Accent Detection

PII/PHI Redaction

Music Detection

AI Music Detection