AI Tools & Workflows
Beginner
4.5
Transcribe Audio with Whisper
Turn speech into text locally with OpenAI’s open-source Whisper.
0h 20m
1 lesson
1.2K students
What You'll Learn
Learning objectives will be added soon.
Tutorial Content
Install and transcribe
pip install -U openai-whisperimport whisper
model = whisper.load_model("base")
result = model.transcribe("meeting.mp3")
print(result["text"])Choosing a model size
Whisper ships in sizes from tiny to large. Bigger models are more accurate but slower and need more memory. base or small is a great balance for most laptops; reach for large when accuracy matters and you have a GPU. It handles dozens of languages and can translate to English too.
Your Progress
Sign in to track your progress
Tags
NLP
Open Source
Python