Workflow Templates

Tagged with: , , , ,

No description available

Tagged with: , , , ,

Tagged with: , , , ,

Tagged with: , , , ,

Tagged with: , , , ,

Tagged with: , , , ,

With this workflow, you can collect the data from Typeform with the Typeform Trigger node every time someone submits a response and save it to Airtable with the Airtable node.

This workflow performs speech-to-text on recorded audio clips using Wit.ai. To get started, replace your Wit.ai Server Access Token in the Authorization header.

How it works This implementation aggregates incoming data into a Redis list from potentially concurrent workflow executions. It buffers the data for a set period before a single execution retrieves and processes the entire batch. Step-by-step Flow: Trigger: Data is received from a trigger (e.g., an external workflow execution). Lock Check: The system verifies that the queue is not currently locked; if it is, the process waits. Append: The received data is appended to a Redis list. Tagging: A unique execution identifier is generated and written to a specific Redis key (acting as a "last writer" marker). Wait: The execution pauses for a configured duration. Verification: After the wait, the execution checks if the Redis key still contains its specific identifier. Exit Condition: If the identifier has changed, it indicates a newer execution has arrived. The current execution terminates. Processing: If the identifier matches, this execution assumes responsibility for the batch. It locks the queue, retrieves all data, clears the Redis list, releases the lock, and forwards the aggregated data further. Setup Add your Redis instance credentials Configure the debounce period (2 seconds by default) Adjust this workflow's trigger and what it calls in the end

This workflow enables seamless, privacy-first capture of meeting notes from your iPhone. It pairs with an iOS Shortcut that leverages Apple’s on-device transcription from the Voice Memos app and optionally passes the output to ChatGPT or a local AI model for summarization. Who it's for Anyone who wants fast, secure note capture on iOS Professionals (e.g., lawyers, therapists) who require on-device processing for privacy Obsidian users who want to sync mobile notes via Google Drive What it does You record a voice memo in the iOS Voice Memos app. The Shortcut transcribes it locally (no API or cloud involved). Optionally, a summarization step is done via ChatGPT or a replaceable local model. The data is sent to an n8n webhook, where it’s converted into a .md file. The Markdown file is uploaded to a Google Drive folder synced with your Obsidian vault. Key Benefits 🧠 Keeps your meeting notes private — no cloud APIs required 🗃️ Easily searchable in Obsidian as structured Markdown files 🛠️ Fully local if you swap out ChatGPT for a local model (can be less stable) Limitations Transcriptions longer than ~1 hour may fail or produce unstable results. Some setup required to replace ChatGPT with a local model in the Shortcut. Setup Install and configure the iOS Shortcut Replace the ChatGPT step in the Shortcut if you need full local-only processing Point the webhook in the Shortcut to your n8n instance Make sure your Obsidian vault is synced with the Google Drive folder used in the workflow Update any of the prompts in the iOS shortcut to ensure its personalized. > ⚡ Pro Tip: Use a Set node early on to clearly define the filename, title, and text so it's easier to modify this for other note types (e.g., journals, therapy sessions, etc.)

This workflow auto-generates and posts a tweet once per day using real-time insights from the web. It uses Perplexity to fetch trending topics, OpenAI to summarize them into a tweet, and the Twitter API to publish. ⚙️ Set up steps Set your Perplexity API key in the HTTP Request node. Add your OpenAI API key to the Message Model node. Authenticate your Twitter API credentials in the second HTTP Request node. Modify the schedule trigger to run daily at your preferred time. All logic is pre-configured — simply plug in your credentials and you're live.