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    How I Use AI to take perfect notes...without typing

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    title: How I Use AI to Take Perfect Notes...Without Typing description: Learn how to automate the process of transcribing voice notes and generating summaries using AI tools. This article provides a step-by-step guide on setting up a workflow that turns voice notes into text and sends them to a notes database in Notion. keywords: AI, voice notes, transcription, automation, workflow, Notion, OpenAI, Whisper, Chat GPT, note-taking

    How I Use AI to Take Perfect Notes...Without Typing

    Do you find it challenging to take notes while on the go? Typing every detail can be time-consuming and cumbersome. But what if I told you there's a way to automate the process of transcribing voice notes and generating summaries using AI tools? In this article, I'll guide you through a step-by-step process of setting up a workflow that turns your voice notes into text and sends them to a notes database in Notion.

    Step 1: Overview of the Tools Needed

    Before we dive into the workflow, let's take a quick look at the four tools you'll need to get this automation up and running:

    1. Notion: You'll need a Notion account and a notes database where the transcriptions will be sent.
    2. OpenAI: Sign up for an OpenAI account to access their AI models, specifically the Whisper model for audio-to-text transcription and Chat GPT for generating summaries.
    3. Cloud Storage Provider: Choose a cloud storage provider like Google Drive or Dropbox to upload your audio files.
    4. Pipedream: Create an account on Pipedream, an automation builder that will connect all the apps and drive the automation.

    Step 2: Building the Workflow

    Now, let's start building the workflow using Pipedream:

    1. Sign up for a Pipedream account and create a new workflow.
    2. Set up the trigger: Select the Google Drive "New Files" action as the trigger. Connect your Google Drive account, specify the folder where the audio files will be uploaded, and generate a test event.
    3. Download the audio file: Add the Google Drive "Download a File" action to download the audio file from Google Drive to Pipedream's temporary storage. Specify the file path dynamically using the ID of the file from the previous step.
    4. Transcribe the audio: Use the OpenAI Chat GPT app to create a transcription of the audio file. Connect your OpenAI account, select the "File" upload type, and provide the file path dynamically from the previous step.
    5. Generate the summary: Add another OpenAI Chat GPT step and choose the "Chat" action. Set the user message prompt to instruct the AI to generate a summary and other desired points from the transcription. Specify the system instructions to guide the AI on how to format the output.
    6. Format the output: Use a Node.js code step to format the title, summary, and lists into separate properties. This step ensures that the data is structured properly before sending it to Notion.
    7. Send the data to Notion: Add the Notion "Create Page from Database" action to create a new page in the Notion notes database. Connect your Notion account, specify the parent database ID, and set the page content using Markdown syntax. Format the content dynamically using the outputs from the previous steps. Set the page title and any other desired page properties.

    That's It!

    With the workflow deployed, you can now upload audio files to the specified folder in Google Drive, and the automation will automatically transcribe the audio, generate a summary, and send the results to your Notion notes database. This hands-off and automated approach makes it easy to take notes on the go with just your voice.


    AI, voice notes, transcription, automation, workflow, Notion, OpenAI, Whisper, Chat GPT, note-taking


    Q: Can I use a different cloud storage provider instead of Google Drive? A: Yes, you can use any cloud storage provider that is supported by Pipedream, such as Dropbox or OneDrive.

    Q: How accurate is the audio-to-text transcription using the Whisper model? A: The accuracy of the transcription depends on the quality of the audio file and the clarity of the speech. Generally, the Whisper model achieves high accuracy in transcribing clear audio recordings.

    Q: Can I customize the prompt to generate different types of output? A: Absolutely! The prompt you provide to Chat GPT determines the type of output you'll get. You can modify the prompt to suit your specific note-taking needs, such as generating blog post drafts or extracting specific information from the transcription.

    Q: Can I change the formatting and structure of the generated output? A: Yes, you have control over the content and formatting in the system instructions provided to Chat GPT. You can specify the desired formatting, such as headings, bullet lists, or other markdown syntax.

    Q: Is there a limit to the file size I can transcribe? A: Currently, OpenAI's Whisper model has a file size limit of 25 megabytes. If you need to transcribe longer audio files, you can explore the code-heavy version of this tutorial, which offers a workaround for larger files.

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