AI-Powered Transcription Automation – Workflow Optimization
OtherAudioTranscription
This experience involved designing and implementing an AI-powered transcription automation system using Whisper for GoTranscript workflows. Tasks included automating the formatting, tagging, and timestamping of audio transcriptions to increase accuracy and efficiency. I deployed Python scripts and Whisper API functions to streamline quality control and reduce manual workload by 80%. • Automated transcript formatting and tagging for large volumes of audio files
• Implemented AI-driven detection and correction of timestamp errors
• Monitored and maintained quality assurance processes for transcription output
• Utilized Python, Whisper API, and GitHub for system development and collaboration
This experience involved designing and implementing an AI-powered transcription automation system using Whisper for GoTranscript workflows. Tasks included automating the formatting, tagging, and timestamping of audio transcriptions to increase accuracy and efficiency. I deployed Python scripts and Whisper API functions to streamline quality control and reduce manual workload by 80%. • Automated transcript formatting and tagging for large volumes of audio files • Implemented AI-driven detection and correction of timestamp errors • Monitored and maintained quality assurance processes for transcription output • Utilized Python, Whisper API, and GitHub for system development and collaboration
2025 - 2025