UFA launched ATTranscribe, a machine learning-based software tool designed to transcribe air traffic control communications automatically at Airspace World 2025 in Lisbon, Portugal this week.
The system addresses a significant challenge in aviation safety where licensed controllers spend substantial time manually transcribing audio from ATC communications for incident investigation. These transcriptions are notoriously difficult due to dense, fast-paced specialized phraseology often masked by cockpit and VHF noise.
ATTranscribe was purpose-built using machine learning trained on ATC communications. The software provides more than 60% reduction in transcription work hours while delivering greater than 90% accuracy across 3,000 hours of recorded ATC audio.
"We believe ATTranscribe will completely transform the workflow of incident review," said David Wolff, CEO of UFA. "By translating raw ATC communications into structured, analyzable data, we are saving the time of skilled workers while helping safety teams extract valuable insights faster and more accurately than ever before."
The technology enables controllers to identify trends and warning signs of systemic issues through automated analysis of large historical archives. Features include time-synced playback alongside transcriptions, keyword filtering capabilities, and extraction of relevant segments for reports.
Lawrence Pennett, president of UFA, said: "ATTranscribe has the potential to reshape how we investigate and learn from air traffic communications. By enabling rapid transcription and automated analysis of recorded or live communications, we can accelerate safety improvements across the industry."
The tool supports incident investigation, regulatory compliance, and training debriefs. It exports finalized transcripts into required formats, reducing time needed for safety investigators and compliance teams.
UFA designed the system with customization capabilities including facility-specific terminology, additional languages, and integrations via standardized application programming interfaces.
The launch addresses modernization needs in Air Traffic Management technology while helping address the critical shortage of skilled air traffic controllers. By automating transcription tasks, controllers can focus more time on managing live traffic.
UFA provides simulation and voice recognition technologies for air traffic control and airside driver training. The company operates offices in the United States, Germany, Canada, and Singapore.