Automate Voice to Text & SRT Subtitles with OpenAI Whisper in Python (Step-by-Step Tutorial)
Hello Pythoneer!
Do you want to learn how to harness the power of OpenAI’s Whisper library to transcribe audio files into text or generate SRT subtitles for your videos—perfect for YouTubers, content creators, and developers! 🚀 In this step-by-step tutorial, you’ll discover:
✅ Quick Setup: Install Whisper, set up a Python virtual environment, and choose the right model (like "tiny" for speed).
✅ Text Transcription: Convert audio to clean text files, fix formatting issues (like leading spaces), and save results.
✅ SRT File Creation: Format segments with precise timestamps (HH:MM:SS ,MS) for YouTube-ready subtitles.
✅ Pro Tips: Handle Whisper’s output segments, optimize accuracy, and avoid common pitfalls.
Follow along with the script to build your own transcription tool, whether for podcasts, videos, or apps.
✨ Why Whisper? It’s fast, open-source, and supports multiple languages—ideal for automating subtitles or analyzing audio data.
💡 Need more features? Check out my video on the Whisper CLI version (linked below) for advanced options like max characters per line and output formats!
• Transcribe your Voice with OpenAI Whisper-...
Got questions? Let me know in the comments: How will you use Whisper? Drop a comment below!
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Happy coding! 💻
🔗 Resources:
🔗 Code
https://github.com/Tonkyboy/transcrib...
🔗 OpenAI Whisper
https://github.com/openai/whisper?tab...
🔗 Install FFMP
https://www.youtube.com/results?searc...
⏰ Content
00:00 Intro
00:20 OpenAI Whisper GitHub
02:41 Coding Voice to .txt
06:09 Coding Voice to .srt
#openai #whisper #pythontutorial #subtitles #voicetotext #srt