Hasty Briefsbeta

Show HN: Python Audio Transcription: Convert Speech to Text Locally

9 hours ago
  • #Audio Transcription
  • #Python
  • #OpenAI Whisper
  • Built a Python-based transcription system using OpenAI’s Whisper model for privacy and cost efficiency.
  • Detailed setup requirements including FFmpeg installation and Python environment setup.
  • Comparison of different Whisper models based on size, RAM required, speed, and accuracy.
  • Provided a clean, production-ready implementation of Whisper for audio transcription.
  • Explained batch processing for multiple audio files and creating subtitle files (SRT format).
  • Introduced an alternative method using the SpeechRecognition library for different recognition engines.
  • Listed common issues and solutions such as FFmpeg not found, out of memory errors, and poor accuracy on noisy audio.
  • Performance benchmarks for different Whisper models and hardware impacts.
  • Created a simple command-line script for easy usage of the transcription tool.
  • Highlighted key advantages of local audio transcription including zero ongoing costs, complete privacy, and high accuracy.