๐ŸŽค Voice Tools

Extract and profile specific voices from audio files using AI-powered speaker diarization and voice matching.

Choose a workflow below to get started.

๐Ÿ‘ฅ Speaker Separation

Analyze multi-speaker audio files to automatically detect and separate individual speakers into separate audio streams.

Upload an audio file with multiple speakers, and this tool will:

  • Detect all speakers automatically
  • Separate each speaker's audio
  • Export clean individual streams

๐Ÿ“ค Input File

โš™๏ธ Speaker Detection Settings

1 10
1 10
0 10
Output Format
8000 48000
Bitrate

๐Ÿ“Š Results

๐Ÿ’พ Downloads

๐Ÿ“š Usage Tips

How to Use:

  1. Upload Audio: Select an M4A, WAV, or MP3 file with multiple speakers
  2. Configure Detection:
    • Use min/max speakers for auto-detection (recommended)
    • Or set exact speaker count if you know it
  3. Choose Output: Select format, sample rate, and bitrate
  4. Separate: Click the button and wait for processing
  5. Download: Get individual speaker files and a detailed report

Best Practices:

  • Clear audio with distinct speakers works best
  • If you know the exact speaker count, specify it for better results
  • Processing time scales with file duration (expect ~2x realtime)
  • M4A format provides best quality-to-size ratio
  • For long files (>1 hour), expect several minutes of processing

Troubleshooting:

  • If fewer speakers detected than expected, try increasing max_speakers
  • If too many speakers detected, try increasing min_speakers
  • For overlapping speech, the tool will assign to the dominant speaker