End Boost
FreemiumAutomatic Audio Mixing for Video Editors
About End Boost
End Boost is a stand-alone software for video editors that automatically mixes and masters voice, music, and sound effects based on presets, using the AI algorithms of Alex Audio Butler. It simplifies audio mixing, saving time and improving video audio quality without needing audio skills.
How to Use
Import audio from any NLE or DAW into End Boost. The software automatically mixes voice, music, and sound effects tracks, applying custom volume curves, compression, limiting, and ducking based on the selected preset.
End Boost's
Key Features
- Automatic audio mixing and mastering
- AI-powered algorithms from Alex Audio Butler
- 25+ smart preset combos for various
Use Cases
- AI de-noising and mastering
- Standalone desktop app for Windows and macOS
- Compatibility with various NLEs via WAV file import/export
Key Features
Pros & Cons
- Saves significant time in audio mixing
- No audio engineering skills required
- Improves overall video audio quality
- AI-driven presets for consistent results
- One-time payment option with perpetual license
- Supports all major NLEs
- Easy to use with intuitive preset-based workflow
- Requires exporting and importing WAV files for each NLE, adding extra steps to workflow
- Still in active development; some advanced features may be missing
- No direct plugin integration within NLEs
- Only available as desktop app (no cloud/web version)
Best For
Alternatives to End Boost
Byrdhouse
Break language barriers with Byrdhouse AI-driven voice and caption translation in 100+ languages for meetings, calls, and chats.
RipX
RipX DAW: Revolutionizing Audio Editing with AI
AudioStrip
Effortlessly Separate, Denoise, and Master Your Music with AudioStrip
Databass
Unleash Your Creativity with Advanced AI Audio Tools
AI Transcription by Riverside
Grow your content's reach with AI Transcription by Riverside. Transcribe your audio and video files in minutes, with high accuracy and easy-to-use features
melody ml
Unlock Your Music's Potential with AI-Powered Track Separation