Summary

In this chapter, we explored the Whisper API, a powerful tool for converting audio into text through advanced speech recognition and translation. The chapter provided step-by-step instructions on developing a language transcription project using Python, covering essential aspects such as handling audio files, installing necessary libraries, and setting up the API key. You learned how to transcribe and translate audio files using the Whisper API. The chapter also introduced a voice transcription application, integrating Tkinter and the Whisper API for real-time transcription.

You also learned how to use PyDub, a powerful audio processing library for Python, with the Whisper API to overcome the file size limitation of 25 MB. By leveraging PyDub’s capabilities, we can efficiently split large audio files into smaller segments, enabling the seamless transcription of lengthy recordings. You saw how to use PyDub and the Whisper API to process larger audio files in the language...