This workflow, created using Make.com, automates the conversion of audio files into text by integrating Tally, Google Drive, OpenAI, and Google Sheets. Here's how it works:

1. Tally (Watch Responses): The workflow begins by monitoring Tally for responses, such as uploaded audio files.

2. Google Drive (Create & Retrieve File): The audio files are uploaded and retrieved from Google Drive for processing.

3. Iterator: The workflow iterates through each audio file, ensuring every file is processed individually.

4. HTTP (Get a File): The audio file is retrieved and sent for transcription.

5. OpenAI (ChatGPT, Whisper, DALL-E): OpenAI's Whisper model is used to transcribe the audio into text accurately.

6. Google Sheets (Add a Row): The transcribed text is saved in Google Sheets for easy access and further use.

Use Case Examples:

• Meeting Transcriptions: Convert recorded meetings into searchable text documents.

• Content Creation: Transcribe podcasts or interviews for blogs and social media posts.

• Data Collection: Process audio feedback or surveys into structured data.

Benefits:

• Automation: Simplifies and speeds up audio-to-text conversion.

• Accuracy: Leverages AI for precise transcriptions.

• Organization: Stores results neatly in Google Sheets for future reference.

This workflow is perfect for professionals or businesses that need to convert audio into text efficiently and accurately.