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BlackBox Cue with Stream Deck during a live show

BlackBox Cue in action during a live performance

Windows

Windows 10 / 11 (64-bit)

Version 4.0.0 - ZIP archive with installer - ~287 MB

Download for Windows

macOS

macOS 11+ - Apple Silicon (M1/M2/M3/M4)

Version 4.0.0 - DMG disk image - ~315 MB

Download for macOS

Installation

Windows: Extract the ZIP archive and run the installer.

macOS: Open the DMG file and drag BlackBox Cue to your Applications folder. On first launch, macOS may display a security warning because the application is not signed - see the security notes in the documentation.

More information

BlackBox Cue is freeware - free for personal and commercial use. Visit the GitHub page for documentation and release notes.

What's new in 4.0.0

  • Speed control - Playback speed 50%-120% per pad without pitch change (time-stretching)
  • Blank pads - Timed silence pads (1-200s) for pauses or control-only cues
  • Automation cues (SET/PAD) - Change volumes, fade/crossfade settings, trigger pads, play SFX, switch modes during playback
  • OSC output - Send OSC messages to external devices during playback
  • Audio cues (BEEP/SPEAK) - Text-to-speech and chime cues on a dedicated audio output
  • CTRL volume fader - Independent volume for audio cues
  • Multi-device audio output - Separate outputs for playback, preview, and audio cues
  • Stream Deck - Source-time progress bar; yellow blink during pre/post-wait

Credits

Audio engine & processing:

  • SoLoud - Portable audio engine
  • FFmpeg (LGPL v2.1) - Audio decoding. Built in LGPL mode (--disable-gpl) and used as a dynamically linked library.
    ./configure --enable-shared --disable-static --disable-gpl --disable-programs --disable-doc --disable-network --disable-encoders --disable-muxers --disable-devices --disable-filters --enable-demuxers --enable-decoders --enable-protocols=file
  • SoundTouch (LGPL v2.1) - Time-stretching for speed control
  • SQLite - Embedded database for project files

Text-to-speech:

  • sherpa-onnx (Apache 2.0) - TTS engine using ONNX Runtime

Voice models (included):