ChatGPT Whisper with Power Automate (Voice to Text)

We have been conquering each piece of Chat GPT with Power Automate workflows. In my opinion that's where AI shines with a workflow. Using Power Automate we can streamline any process with an AI and cut down on the time spent with repetitive tasks. AI is all about efficiency!

HTTP Call for ChatGPT Whisper-1 model, make sure to double check that a new more cost efficient model has not been released:
{
"$content-type": "multipart/form-data",
"$multipart": [
{
"headers": {
"Content-Disposition": "form-data; name=\"model\""
},
"body": "whisper-1"
},
{
"headers": {
"Content-Disposition": "form-data; name=\"file\"; filename=\"@{triggerBody()?['entity']['fileName']}\""
},
"body": {
"$content-type": "audio/mp3",
"$content": "@{outputs('Compose')}"
}
}
]
}

Using Power Automate with ChatGPT Whisper can streamline workflows by automating the transcription of audio inputs into text. This integration allows for seamless processing and analysis of voice data, enabling more efficient and accurate responses. Additionally, it can enhance productivity by automating repetitive tasks and facilitating real-time conversational interactions with AI.

Chapters
0:00 Introduction
1:40 Creating an Instant Cloud Flow
4:15 Using Whisper Documentation
6:44 The HTTP Body for Whisper API
9:00 The First Run
12:20 Summarizing an Entire Youtube Video
15:00 Calling GPT4o to Summarize
18:00 Summarize and Translated to another language
19:50 Conclusion