MagicAudio is an AI-powered online tool for removing background noise from audio and video files to enhance sound clarity.
MagicAudio uses AI to remove various background noises from audio and video recordings, preserving original voice quality without requiring technical skills. It supports multiple file formats and offers free noise removal with optional paid plans for extended usage.
Automatically detects and removes common background noises such as fan hum, room echo, mic hiss, mouse clicks, distant voices, traffic, wind, and appliance sounds.
Cleans noise from both audio and video files by extracting and enhancing the audio track.
Isolates and maintains the clarity, tone, and natural quality of the original voice while removing noise.
Allows uploading of various audio and video file formats for noise removal processing.
Users can remove noise instantly without creating an account or facing usage limits on the free tier.
Paid plans include batch processing capabilities and faster processing queues for handling multiple files efficiently.
Offers tiered paid packages based on total minutes of audio processed, with no expiration date on purchased minutes.
Upload file, select audio type for enhancement, and download the cleaned audio or video file.
Select and upload the audio or video file you want to clean from background noise, supporting multiple formats.
Choose the type of audio enhancement needed so the AI can optimize noise removal accordingly.
The AI automatically analyzes and removes unwanted background sounds while preserving the original voice.
After processing, download the noise-reduced audio or video file for use in your projects.
Pricing details are gathered from the official MagicAudio website and are provided for reference only. Always confirm the latest information directly with the vendor.
| Plan | Price | Highlights |
|---|---|---|
| 125 Minutes Plan | $10 | Up to 125 minutes of audio processing
|
| 300 Minutes Plan | $20 | Up to 300 minutes of audio processing
|
| 650 Minutes Plan | $50 | Up to 650 minutes of audio processing
|
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