Adobe Audition (with Sensei AI)
Professional audio restoration and multitrack editing powered by deep-learning intelligence.
The professional audio editor designed for spoken-word storytellers and broadcast journalists.
Hindenburg PRO (formerly Hindenburg Journalist) is a high-performance Digital Audio Workstation (DAW) specifically engineered for the spoken word. Unlike traditional music-focused DAWs like Pro Tools or Ableton, Hindenburg’s architecture is built around a non-destructive editing engine that prioritizes vocal clarity and narrative flow. In 2026, the platform stands out by integrating advanced AI-driven noise reduction and voice profiling that automatically balances EQ and loudness to broadcast standards (EBU R128 / A/85). Its technical edge lies in the 'Magic Levels' algorithm, which handles dynamic range compression and auto-leveling without the need for manual keyframing. The software is optimized for investigative journalists and podcasters who require a mobile-ready, robust solution for field recording and rapid multi-track assembly. With native support for remote recording sessions and integrated AI transcription services, Hindenburg PRO positions itself as the industry standard for narrative audio production, bridging the gap between field reporting and professional studio mastering.
An automated gain-staging algorithm that analyzes the entire timeline to ensure consistent levels across different speakers and clips.
Professional audio restoration and multitrack editing powered by deep-learning intelligence.
The industry standard for surgical polyphonic audio manipulation and vocal pitch correction.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A proprietary EQ learning tool that captures the spectral footprint of a voice and applies a corrective curve to match a reference standard.
Metadata-based editing where the original source files are never altered, allowing for infinite undo/redo and clip manipulation.
Deep-learning based speech-to-text that syncs the text transcript directly with the audio timeline.
A unique structural organization UI with four distinct groups for storing, naming, and categorizing audio snippets.
One-click normalization to broadcast standards like EBU R128 or ATSC A/85.
Integrated spectral subtraction and AI-based hum/hiss removal tools.
Raw field interviews have varying levels, background noise, and require rapid turnaround.
Registry Updated:2/7/2026
Arrange clips using the Clipboard for narrative flow.
Run Magic Levels to balance the host's voice against the interviewee.
Managing multiple guest tracks with inconsistent volume and mic techniques.
Strict technical requirements for ACX (Audible) including noise floor and peak levels.