ChatGPT Automations: Zeitsparnis pur
Table of Contents:
- Introduction
- Setting Up Airtable
- Creating Google Drive Structure
- Setting Up Zapier
- Uploading and Processing Files
- Converting Video to WAV format
- Creating Transcription with Descript
- Using Chat GPT for Social Media Post
- Creating Document from Transcript
- Linking Document to Airtable
Introduction
In this tutorial, we will learn how to use chat GPT and automation to automatically transcribe video content and convert it into text for social media posts or video descriptions. We will guide You step by step through the process, using tools like Airtable, Google Drive, Zapier, and chat GPT. By the end of this tutorial, you will have a complete solution that you can Apply to your own workflow.
Setting Up Airtable
To begin, we need to set up an Airtable account. If you don't have one, you can Create a free account. Once you have an account, create a new base and name it "Chat GPT Automation Project". Inside the base, we will set up a table with the necessary fields such as the ID, file name, folder URL, media URL, and post document URL.
Creating Google Drive Structure
Next, we will create a folder structure in Google Drive to store our video files and processed data. We need an "Inbox" folder where we can upload new videos for transcription, and a "Processed" folder to store the processed videos. You can customize the folder structure to fit your needs, but make sure to create these two main folders.
Setting Up Zapier
Now we will set up Zapier, an automation tool that will help us connect Airtable, Google Drive, and other platforms. Create a Zapier account if you don't have one. Once signed in, create a new Zap and select the trigger "New File in Folder" under Google Drive. Choose your Google Drive account and select the "Inbox" folder as the trigger location. Test the trigger to ensure it is working correctly.
Uploading and Processing Files
Once the trigger is set up, we can test the process by uploading a video file to the Inbox folder in Google Drive. Zapier will detect the new file and create a row in Airtable with the necessary information. We can customize the Airtable fields to capture the file name, media URL, and folder URL. This step ensures that all the Relevant data is captured for further processing.
Converting Video to WAV format
To transcribe the video, we need to convert it to a WAV format. We will use a service called CloudConvert to convert the video file to WAV. Create a CloudConvert account if you don't have one. In Zapier, add a new action to convert the file to the WAV format using CloudConvert. Test the action to ensure it converts the file successfully.
Creating Transcription with Descript
With the WAV file ready, we can now create a transcription using Descript. Descript is a transcription service that offers an API integration. Set up a Descript account and obtain the API key. In Zapier, add a new action to transcribe the WAV file using Descript. Test the action to ensure it creates the transcription accurately.
Using Chat GPT for Social Media Post
Now that we have the transcription, we will use chat GPT to clean it up and turn it into a social media post or video description. Chat GPT is an AI language model that can generate human-like text. In Zapier, add a new action to send the transcription to chat GPT for processing. Customize the prompt to achieve the desired output. Test the action to generate the cleaned-up text.
Creating Document from Transcript
To finalize the process, we need to create a Google Document with the cleaned-up text. In Zapier, add a new action to create a document from the chat GPT output. Use the Airtable Record ID to name the document and include the original transcription and cleaned-up text. Test the action to ensure the document is created correctly.
Linking Document to Airtable
The final step is to link the Google Document back to the Airtable record by updating the post document URL field. In Zapier, add an action to update the Airtable record with the document URL. Use the document's alternate link as the URL value. Test the action to ensure the URL is updated successfully.
Conclusion
Congratulations! You have successfully set up an automated workflow to transcribe video content and convert it into text for social media posts or video descriptions. Feel free to explore further customization options, such as formatting the text or adding additional steps to your workflow. This automated solution will save you time and effort in processing and sharing your video content.
Highlights:
- Learn how to automate the transcription process using chat GPT and various tools.
- Set up Airtable to capture and organize video information efficiently.
- Create a folder structure in Google Drive for easy file management.
- Use Zapier to connect Airtable, Google Drive, and other platforms seamlessly.
- Convert video files to WAV format and generate transcriptions with ease.
- Utilize chat GPT to clean up and optimize transcriptions for social media posts.
- Create Google Documents and link them back to Airtable for centralized storage.
FAQ
Q: Can I customize the prompt for chat GPT?
A: Yes, you can experiment and tailor the prompt to generate the desired output. We recommend testing different prompts in the chat GPT web version before integrating it into the automation.
Q: What if I want to process multiple videos simultaneously?
A: You can upload multiple videos to the folder in Google Drive, and the automation will process them one by one. Each video will have its corresponding transcription and a separate document.
Q: Can I use a different transcription service instead of Descript?
A: Yes, you can use any transcription service that provides an API integration. The process may vary slightly, but the overall workflow remains similar. Just ensure that you convert the video file to the required format before transcribing it.
Q: Can I modify the automation to post the transcription directly to social media platforms?
A: Yes, you can add additional steps to the automation to post the transcription to social media platforms. Each platform's requirements may differ, so you'll need to integrate the corresponding APIs and customize the automation accordingly.