Transcribe your Voice with OpenAI Whisper-CLI in Python Terminal (Step-by-Step Tutorial)

Hello Pythoneer!

Struggling with manual subtitles for your videos? Let Python do the heavy lifting! In this tutorial, I’ll show you two powerful ways to transcribe voice to text using OpenAI’s Whisper:

1️⃣ Terminal Magic: Create a lightning-fast CLI workflow for batch processing audio files. Perfect for YouTubers and content creators!
2️⃣ Python Scripting: Build a reusable script in VS Code for seamless integration into your projects.

What You’ll learn:
✅ How to set up Whisper with FFmpeg (Mac, Windows, Linux)
✅ Automate subtitle generation with SRT files (timestamps included!)
✅ Create an executable command file for one-click transcriptions
✅ Handle errors like a pro with Python’s subprocess module

Pro Tips Included:
- Optimize Whisper models (tiny to large) for speed vs. accuracy
- Batch process multiple audio files in one go
- GPU acceleration for NVIDIA users

🔥 Bonus: I’ll share my personal workflow for YouTube shorts, including how I tweak subtitles for maximum engagement!

💡 Perfect For:
- Content creators looking to save time
- Developers wanting to integrate speech-to-text into their apps
- Anyone curious about OpenAI’s Whisper and Python automation

💬 Let’s Build Together!
Got questions or stuck? Drop a comment, and let’s solve it as a community. Don’t forget to like, subscribe, and hit the bell for more Python tutorials!

📂 Resources:
GitHub links for Whisper & FFmpeg
Ready-to-use Python scripts
Troubleshooting tips for common setup issues

🔗 Links
🔗 OpenAI Whisper

🔗 Install FFMPEG

🔗 FFMPEG Brew

🎥 Next Up: Dive deeper into OpenAI’s Whisper Python library for advanced transcription features. Stay tuned!

⏰ Content
00:00 Intro
00:23 Preconditions - Setup
02:44 Terminal Whisper-CLI
06:46 Python Script Whisper-CLI

#python #coding #programming #codingtogether #whisper #openai

[LivingMonstrasity]

Super helpful tutorial and the one that yield the best result to get this up and running in my experience. Used an M1 MacBook Air 16GB with a large model. Definitely felt the processor warming up during the runtime. A 15min mp3 took a little over an hour for completion.

Had an issue with SSLCertificate and the solution was right in front of me. After installing your Python version of choice, after it successfully installs, it auto opens its application folder and you just double click on the provided script file which will ultimately update the certificate package. I believe running pip install --upgrade certifi also accomplishes this task.

[SoundweaverAI]

Thank you for this. I didn't get the .env to work because it didn't find "Source" but I didn't really spend much time on looking into it. But the rest was useful!