Whisper API for voice to text conversion
Most people know OpenAI for ChatGPT, but they’ve got some other amazing tools up their sleeve. Whisper, their advanced speech recognition model, has completely changed how I approach content creation.
I discovered Whisper about three months ago and immediately got hooked on the idea of creating content by speaking instead of typing. It’s available as a downloadable model for local use or through an API for online integration, which opens up a world of possibilities.
The open-source community has been quick to jump on Whisper, creating various implementations. You can find everything from CLI programs to third-party APIs that handle caching and access control. I’ve tried quite a few of these, each with its own quirks and benefits.
But after all my experimenting, I keep coming back to the version built into the ChatGPT iOS and Android apps. It’s just the smoothest experience I’ve found so far. Here’s why I love it:
- It corrects words automatically, saving me tons of editing time.
- It handles filler words like “hmm” and “um” really well, capturing the natural flow of speech.
- The punctuation is spot-on, which is a huge time-saver. I’ve settled on a workflow that I think is pretty slick. I use the ChatGPT iOS app for voice input, then leverage Apple’s Universal Clipboard feature. This means I can speak into my phone, copy the text, and it’s instantly available on my Mac. No manual transferring needed!
In the past, I played around with more complex setups. I tried sending the input to a webhook using a custom GPT, then manually copying the text. It worked, but it was clunky. This new setup with the ChatGPT app and Universal Clipboard is so much more elegant and efficient.
For anyone looking to streamline their writing process or just explore new ways of creating content, I highly recommend giving Whisper a try. Whether you’re a tech enthusiast, a writer, or just someone looking to save time, it’s a tool that could really change your workflow.
