> ## Documentation Index
> Fetch the complete documentation index at: https://docs.munsit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Voice Isolation

> Isolate voices from background noise

Munsit's Voice Isolation technology separates clean speech from background noise, improving audio quality for transcription and voice cloning applications.

## Overview

Voice Isolation helps you:

* Remove background noise from audio recordings
* Enhance speech clarity for better transcription
* Prepare clean audio for voice cloning
* Improve audio quality for downstream processing

## Features

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          Advanced Noise Reduction
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          AI-powered noise removal while preserving speech quality
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          Async Job Processing
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          Upload once and stream progress events while the job runs
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          Audio & Video Support
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          Accepts both audio files and video files (audio track is extracted)
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          High Fidelity
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          Maintains natural speech characteristics
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## Use Cases

* **Pre-processing for Transcription**: Clean audio before sending to speech-to-text
* **Voice Cloning Preparation**: Isolate clean speech for better voice cloning results
* **Podcast Production**: Remove background noise from podcast recordings
* **Call Quality Enhancement**: Improve audio quality in telephony applications

## How It Works

Voice Isolation is an asynchronous job-based pipeline:

1. **Submit the file** — `POST /denoise` with a `multipart/form-data` body containing the `audio` field. The response returns a `jobId` and a `denoiseId`.
2. **Track progress** — open an SSE connection to `GET /denoise/{denoiseId}/progress` to receive `processing`, `done`, and `error` events in real time.
3. **Retrieve the result** — when the `done` event fires it carries the `url` of the denoised audio. You can also list past jobs and their final URLs via `GET /denoise`.

## Limits

* **Maximum file size:** 200 MB
* **Maximum duration:** 15 minutes
* **Accepted source types:** audio files and common video containers (`mp4`, `mov`, `mkv`, `webm`, `avi`, `m4v`). Video uploads have their audio track extracted automatically.

## API Reference

* [Submit a denoise job](/api-reference/denoise) — `POST /denoise`
* [List denoise history](/api-reference/denoise-list) — `GET /denoise`
* [Stream denoise progress](/api-reference/denoise-progress) — `GET /denoise/{denoiseId}/progress`