AI Vocal Removal API

API ID 2216

Introducing the AI Vocal Remover API - the ultimate solution for audio enthusiasts! Effortlessly remove vocals from your favorite tracks with support for multiple file formats like MP3, WAV, and FLAC.

100% uptime 3,251 ms avg response

API Documentation

Endpoints

Request

To use this endpoint, you must first send an audio file in MP3 format. Once the file has been successfully uploaded, you will receive an ID that you must enter in the Process File endpoint.

For example:

"id":"m1rc1krbs9rgc0cqsff9sbg7tr"

Endpoint ID: 2065
POST https://zylalabs.com/api/2216/ai+vocal+removal++api/2065/upload+file
INPUT PARAMETERS

Upload File — Endpoint Features

Object Description
Request Body Required File Binary

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{"status":200,"success":true,"input":{"audio":"https:\/\/ai-vocals.s3.amazonaws.com\/audio_files\/XyUQ74FFsov7ZOHv3NoLs5wsClrcKVMHiUSUZjCU.mp3"},"id":"3rx42m77c1rga0cmcvm80072gm"}
Upload File — CODE SNIPPETS

    curl --location 'https://zylalabs.com/api/2216/ai+vocal+removal++api/2065/upload+file' \
    --header 'Content-Type: multipart/form-data' \ 
    --form 'image=@"FILE_PATH"'

Request

To use this endpoint, you must first upload an MP3 file via the Upload File endpoint. Once the upload is complete, you will receive a response with a unique identifier (id), which will be required to start processing the audio.

This identifier represents your file and must be entered in the id parameter.

Please note that processing may take several minutes. This is because the artificial intelligence model performs a thorough and detailed analysis of the audio file, separating tracks, identifying vocal and instrumental components, and optimizing the output for the highest possible quality.

Endpoint ID: 2066
GET https://zylalabs.com/api/2216/ai+vocal+removal++api/2066/process+file
INPUT PARAMETERS

Process File — Endpoint Features

Object Description
id Required File ID.

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

id
API EXAMPLE RESPONSE
JSON
{"status":500,"success":false,"data":"An error occurred. Please try again later."}
Process File — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/2216/ai+vocal+removal++api/2066/process+file?id=aj33751gxsrga0cqsfhr5fyqjg' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the AI Vocal Removal API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Minimum annual contract: USD 10,000

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Overview

About the API: 

 

Experience the revolutionary AI Vocal Remover API, designed to take your audio processing to new heights. With its advanced capabilities, this API empowers you to effortlessly remove vocals from audio files in a variety of formats, including popular choices like MP3, WAV, and FLAC. Whether you require real-time or offline processing, this API offers the flexibility to cater to your specific needs.

One of the standout features of the AI Vocal Remover API is its exceptional scalability. Designed to handle large volumes of audio data efficiently, it ensures a seamless experience even when dealing with extensive datasets. Whether you're working on a small project or managing a massive audio library, this API can effortlessly process the data, saving you valuable time and resources.

Using the API is a breeze. Begin by uploading your audio file and receive a confirmed file name, providing a streamlined approach to organizing and referencing your processed files. From there, you can process the file using the confirmed file name, and the API will deliver three audio URLs: the original file, the vocal-only version, and the music-only version. This versatility allows you to explore new creative possibilities, such as creating karaoke tracks, remixes, or instrumentals.

With the AI Vocal Remover API, you can expect exceptional accuracy and quality in the vocal removal process. Leveraging cutting-edge AI technology, it identifies and isolates vocals from the audio, ensuring a clean and precise extraction. Whether you're an audio engineer, a music producer, or a hobbyist, this API opens up a world of opportunities for manipulating and enhancing audio content.

Furthermore, the API's comprehensive documentation provides detailed guidelines and examples, enabling you to seamlessly integrate it into your existing applications or workflows. The API is backed by robust technical support, ensuring that any queries or issues you encounter are promptly addressed, allowing you to maximize the benefits of this powerful tool.

Unleash your creativity and explore the endless possibilities of audio manipulation with the AI Vocal Remover API. Whether you're looking to enhance your music production, create captivating remixes, or simply have fun with audio experimentation, this API is your gateway to a whole new audio experience. Embrace the power of AI and take your audio processing to the next level today.

 

What this API receives and what your API provides (input/output)?

Usage:

  1. upload file and get the confirmed file name
  2. process the file through the confirmed file name and it returns three audio urls: original, vocal and music pathes.

 

What are the most common uses cases of this API?

  1. Karaoke Creation: With the AI Vocal Remover API, you can easily create karaoke tracks by removing the vocals from your favorite songs. This allows singers to perform along with the instrumental accompaniment, making it a valuable tool for karaoke enthusiasts, music venues, and entertainment establishments.

  2. Remixing and Mashup Production: DJs, music producers, and remix artists can leverage the API to extract vocals and music separately. This enables them to manipulate individual elements, create remixes, and produce unique mashups with ease. The API provides a convenient way to access and isolate specific audio components for experimentation and creative expression.

  3. Audio Sample Extraction: For music producers and sound designers, the API serves as a valuable resource for extracting audio samples. By separating the vocal and music tracks, you can quickly isolate and extract specific segments or elements for use in new compositions, soundtracks, or sample libraries.

  4. Podcast and Video Editing: Podcasters, video creators, and content producers can utilize the AI Vocal Remover API to enhance their audio content. By removing vocals from background music or ambient soundtracks, they can create a clearer audio environment, ensuring the focus remains on the spoken content without distractions.

  5. Music Analysis and Training: Music educators, researchers, and analysts can benefit from the API's vocal removal capabilities for studying and analyzing different musical aspects. By isolating the vocals and music, they can conduct an in-depth analysis of vocal techniques, and instrumental arrangements, or even train machine learning models for music classification and genre recognition.

 

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation

AI Vocal Removal API FAQs

Absolutely! The AI Vocal Remover API is designed to work with various languages and vocal styles. Whether it's pop, rock, jazz, or even non-English vocals, the API employs advanced algorithms that can effectively identify and isolate vocals regardless of the style or language.

The API aims to provide real-time processing capabilities without significant latency or delay. However, the actual performance may depend on factors such as network speed, file size, and processing complexity. For optimal real-time processing, it's recommended to ensure a stable internet connection and consider the API's response time in your application design.

MP3 WAV FLAC AAC OGG AIFF

Yes, you can! The API is capable of processing both studio recordings and live recordings. Whether you want to remove vocals from a professionally recorded concert or a fan-captured live performance, the AI Vocal Remover API can help you achieve the desired results.

The Upload File endpoint returns a JSON object containing the status, success flag, input audio URL, and a unique ID for the uploaded file. The Process File endpoint returns a JSON object indicating the status, success flag, and any error messages if applicable.

Key fields in the Upload File response include "status" (HTTP status code), "success" (boolean indicating success), "input" (containing the audio URL), and "id" (unique identifier). For the Process File response, key fields are "status," "success," and "data" (which may contain error messages).

The response data is structured in JSON format. Each response includes a top-level object with fields for status and success, and additional nested objects or fields for specific data, such as audio URLs or error messages.

The Upload File endpoint accepts the audio file as input, while the Process File endpoint requires the confirmed file name obtained from the Upload File response. Users must ensure the file is in a supported format.

Users can customize their requests by selecting the audio file they wish to upload and specifying the confirmed file name for processing. This allows for tailored processing of specific audio files based on user needs.

Typical use cases include creating karaoke tracks, remixing songs, extracting audio samples for production, enhancing podcast audio, and analyzing vocal techniques in music. Each use case leverages the API's ability to isolate vocals and music.

Users can utilize the returned data by accessing the audio URLs provided in the response. For example, they can download the original, vocal-only, and music-only tracks for further editing or integration into their projects.

The AI Vocal Remover API employs advanced algorithms to ensure high accuracy in vocal isolation. Continuous updates and improvements to the AI model help maintain data quality, ensuring reliable results across various audio types.

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