Who is this for? This workflow is built for anyone who works with YouTube content, whether you're: A learner looking to understand a video’s key points A content creator repurposing video material A YouTube manager looking to update titles, descriptions A social media strategist searching for the most shareable clips Don't just ask questions about what's said. Find out what's going on in a video too. Video Overview: https://www.youtube.com/watch?v=Ovg_KfKxnC8 What problem does this solve? YouTube videos hold valuable insights, but watching and processing them manually takes time. This workflow automates: Quick content extraction**: Summarize key ideas without watching full videos Visual analysis**: Understand what’s happening beyond spoken words Clip discovery**: Identify the best moments for social sharing How the workflow works This n8n-powered automation: Uses Google’s Gemini 1.5 Flash AI for intelligent video analysis Provides multiple content analysis templates tailored to different needs What makes this workflow powerful? The easiest place to start is by requesting a summary or transcript.
Tags
Related workflows
See all General Automation→Draft bookkeeping entries from Trello cards with OpenRouter and Xero
Quick overview This workflow triggers from Trello card activity to draft bookkeeping entries by extracting transaction details with OpenRouter and enriching them with live Xero chart-of-accounts, tax rates, contacts, and bill context, then posts a review-ready summary and embedded JSON back to the Trello card. How it works Triggers from Trello when a card is moved to the Ready list or when the Retry AI label is added. Fetches the current Xero chart of accounts, bank accounts, and tax rates to use as live reference data. Loads the Trello card details, recent comments, and attachment metadata and stops with an error note if the text lacks enough detail for extraction. Sends the card title/description/comments to OpenRouter to extract a structured bookkeeping draft and normalizes key fields like dates, line items, and payment reference. Uses Xero Contacts (and, for bill payments, Xero Invoices) to resolve the vendor and refine PAY_BILL vs SPEND_MONEY before optionally asking OpenRouter to classify expense line items to Xero account codes. Validates and maps any suggested account codes against the live Xero chart of accounts, embeds Xero configuration needed for posting later, and reco
Post approved Trello bookkeeping drafts to Xero with receipt attachments
Quick overview This workflow listens for an “Approved” label on a Trello card, reads the AI draft bookkeeping JSON from card comments, and posts the corresponding transaction to Xero. It then adds a Xero deep link back to Trello, uploads receipt images as Xero attachments, and moves the card to Done. How it works Triggers in Trello when a user adds the configured Approved label to a card on the target board. Fetches the card’s comments, extracts the ` payload, validates required fields, and skips processing if a ` sentinel comment already exists. For SPEND_MONEY and PAY_BILL entries, pulls active Xero bank accounts and resolves the bank account and payment reference from the draft and any reviewer comments, pausing to request confirmation on the Trello card if values are ambiguous. For PAY_BILL entries, fetches open supplier bills from Xero and either matches the payment to a single ACCPAY invoice or asks the reviewer to confirm the bill in a Trello comment. Builds and posts the appropriate Xero record (Bank Transaction, Bill, Payment, or Manual Journal) via the Xero API and generates a Xero deep link for the created entity. Immediately writes the `` deep link back to Trello, then
Upload CSV test cases to Qase and send completion alerts to Slack
Quick overview This workflow upload test cases from a CSV file into Qase App and sends a confirmation message to your Slack channel. How it works Receives a form submission containing a public CSV URL and a selected Qase project option. Downloads the CSV file from the provided URL and extracts its rows into individual test-case items. Maps each row into the JSON payload Qase expects (including project code, fields like severity/priority/type, and optional parsed steps). Creates the test cases in Qase by sending a POST request per item to the Qase Cases API for the mapped project. Aggregates the upload responses into a single result. Sends a Slack incoming-webhook message confirming the test case upload is complete. Setup Create a Qase API token and add it to the Qase HTTP Header Auth credentials used for the Qase API request. Create a Slack Incoming Webhook, paste the webhook URL into the Slack notification HTTP request node, and customize the message text if needed. Ensure the uploaded CSV is publicly accessible via URL and uses the expected columns (for example: title, description, preconditions, postconditions, severity, priority, type, layer, behavior, automation, and optional