Remove background noise from audio and video files in the cloud
AI speaker separation to split audio by speaker into individual tracks
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: 10 minutes of audio per calendar month. Single file up to 30 minutes: $1.00. Single file 30 to 60 minutes: $1.99. Pro: $9.99 per month for up to 20 hours of cleaning.
Free Trial: 20 credits once (about 2 minutes of Standard Separation). Monthly plans: Starter $12 (200 credits), Creator $29 (600 credits), Studio $65 (1500 credits). Annual plans: Starter $120, Creator $288, Studio $648. One-time credit packs: 200 credits for $16, 600 credits for $39, 1500 credits f
Key features
Supports MP3, WAV, M4A, MP4, and MOV files
Files up to 2GB and 60 minutes per upload
Processing in the cloud with no software installation
Video files keep their picture untouched while audio is cleaned
Automatic file deletion 60 minutes after upload
No watermark on output files
Processing usually completes within minutes
Supports both audio-only and video files on all tiers
Individual speaker tracks with separate WAV files
Time-aligned output with synchronized track starts
Automatic and manual speaker detection
Support for 30+ languages
Multiple audio and video file format support
Advanced Overlap mode for simultaneous speech
Private processing with 30-day result access
Preview functionality before download
Credit-based pricing with cost estimate before processing
Upload support for files up to 1 GB
What makes it different
No software to install or command line to learn
Works on audio from any source without labeling noise type in advance
Automatic file deletion protects privacy after 60 minutes
Free tier with no watermark for testing your material
Pay only for what you process, nothing recurring for single-file purchases
Works with both audio and video files with automatic speaker detection
Handles overlapping and simultaneous speech with Advanced Overlap mode
Keeps time-alignment across all exported tracks for editing workflow continuity
Separates voices into individual tracks rather than just labeling speakers