Who is this for? This workflow template is perfect for content creators, researchers, students, or anyone who regularly works with audio files and needs to transcribe and summarize them for easy reference and organization. What problem does this workflow solve? Transcribing audio files and summarizing their content can be time-consuming and tedious when done manually. This workflow automates the process, saving users valuable time and effort while ensuring accurate transcriptions and concise summaries. What this workflow does This template automates the following steps: Monitors a specified Google Drive folder for new audio files Sends the audio file to OpenAI's Whisper API for transcription Passes the transcribed text to GPT-4 for summarization Creates a new page in Notion with the summary Setup To set up this workflow: Connect your Google Drive, OpenAI, and Notion accounts to n8n Configure the Google Drive node with the folder you want to monitor for new audio files Set up the OpenAI node with your API key and desired parameters for Whisper and GPT-4 Specify the Notion database where you want the summaries to be stored How to customize this workflow Adjust the Google Drive folder
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Load and summarize Google Drive files with AI
This workflow includes advanced features like text summarization and tokenization, it's ideal for automating document processing tasks that require parsing and summarizing text data from Google Drive. To use this template, you need to be on n8n version 1.19.4 or later.
Ask questions about a PDF using AI
The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared to the vectors in Pinecone. The most similar vectors are retrieved and passed to OpenAI for generating a chat response. Note that to use this template, you need to be on n8n version 1.19.4 or later.
Sort Gmail leads, meetings, and trash with OpenAI classification
Quick Overview This workflow monitors Gmail for new messages, applies rule-based pre-classification, and uses OpenAI to categorize ambiguous emails as lead, review, or trash, then applies Gmail labels and schedules automatic deletion for trash threads. How it works Triggers every 5 minutes when a new Gmail message is received. Fetches the full email content from Gmail and extracts key fields like sender, subject, body, and thread ID. Applies deterministic rules to classify emails as team, meeting, website form, trash (bulk/OTP), or unknown. Adds Gmail labels for team and meeting emails, and skips processing for website form submissions. Sends only unknown emails to OpenAI for classification into LEAD, REVIEW, or TRASH and parses the returned JSON safely. Labels lead and review emails in Gmail, and for trash emails calculates a deletion timestamp, labels them as pending deletion, waits until that time, and then moves the entire Gmail thread to trash. Setup Connect a Gmail OAuth2 credential and ensure the trigger and Gmail actions point to the correct mailbox. Add an OpenAI API credential and select a model in the OpenAI classification step. Replace the placeholder Gmail label IDs (T