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-whisper
import 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.

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Tags

NLP
Open Source
Python