This workflow automates the process of retrieving images from Airtable, removing their backgrounds using the APImage API, and storing the processed images in Google Drive. Starting with a manual trigger, it fetches media records from Airtable ‘Media Files’ table, extracts the best quality thumbnails, and prepares them for background removal. The workflow then splits each thumbnail to process them individually through the APImage API, which removes backgrounds from the images. Finally, the images are downloaded and uploaded to Google Drive for organized storage.

The key nodes include Airtable for data retrieval, a JavaScript Code node for data processing and metadata extraction, Split Out for parallel image processing, an HTTP Request node for background removal via APImage, and Google Drive for final storage.

This setup is ideal for content creators, e-commerce platforms, or agencies needing to batch process and organize product images or visual assets efficiently. Users can customize data sources, adjust processing steps, or replace storage options to fit specific workflows or integrate with other platforms.