OpenAI Whisper Tutorial: Level Up Your AI Projects with Speech-to-Text

Become an expert with OpenAI's Whisper for super-accurate speech-to-text! 🚀 Unlock tips and tricks to level up your projects with seamless speech-to-text integration.

Whisper offers state-of-the-art Speech-To-Text capabilities, perfect for conversational apps, voice commands, and transcribing audio like meetings, lectures, and podcasts. It even supports language translation! 🌍

In this tutorial, I’ll guide you through Whisper's two key endpoints: transcription and translation. Plus, you’ll learn expert-level tips like using the prompt parameter to improve transcript quality, adding timestamps, breaking up long audio files, and improving readability with post-processing. ⚡

Finally, we’ll build a simple Python app that records and transcribes text using the Whisper model!

Chapters
Intro 0:00
Whisper Documentation 0:27
Build Python App with Whisper 3:16

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