Skip to content
FlowHubFluxonLab

Code Workflows

1.006 Ergebnisse — ausschließlich quellenverknüpfte n8n-Referenzen

CsheetsW
free

Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets

This workflow helps you turn your best-performing LinkedIn posts into a repeatable content creation system. It pulls LinkedIn post data from Apify, normalizes and ranks the posts by impressions, identifies the strongest-performing content, and sends the top posts to OpenAI for pattern analysis. Based on those insights, it generates 7 new LinkedIn post ideas, then saves both the insights and generated posts to Google Sheets for easy review and planning. It is ideal for founders, creators, consultants, marketers, and social media teams who want to use real LinkedIn performance data to guide new content creation with a faster and more structured workflow.

von Jonas Frewert
Aaiagenttoolcalculatorcodetool
free

Monitor and optimize carbon emissions for ESG reporting with GPT-4o, Slack and Sheets

How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl

von Cheng Siong Chin
Aaiagenttoolcalculatorcodetool
free

Monitor and optimize carbon emissions for ESG with GPT‑4o, Slack and Google Sheets

How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl

von Cheng Siong Chin
CsheetsW
free

Send personalized LinkedIn connection requests with Google Sheets and Unipile

Send personalized LinkedIn connection requests automatically using n8n, Google Sheets, and Unipile — with built-in safety limits, duplicate prevention, and full invitation tracking. Scale your LinkedIn outreach without manually sending a single connection request. This workflow reads your leads from a Google Sheet, filters out already-contacted prospects, and sends each one a personalized connection note via LinkedIn — automatically, on a schedule, and safely within LinkedIn's limits. Built for founders, sales teams, and recruiters who want consistent LinkedIn outreach without repetitive manual work. Every request is tracked back to your sheet with its invitation ID and status, making follow-up workflows easy to build on top. Good to know Unipile pricing is based on the number of connected accounts, not per API call or per message sent. The base plan starts at €49/$55 per month and includes up to 10 linked accounts For this workflow, connecting one LinkedIn account counts as one account Unipile does not enforce usage limits — you can send as many requests as you need. However, LinkedIn itself applies its own rate limits and usage policies A 7-day free trial is available with all fe

von Salman Mehboob
ACgithub
free

Auto-post GitHub code summaries to LinkedIn using Gemini AI

How it works Listens for a GitHub push event via Webhook Lists and fetches all files from the pushed repository Decodes base64 file content and merges it into a single text block AI Agent (Gemini 2.5 Flash) analyzes the code and generates a article A second AI Agent converts the article into a LinkedIn-ready post (max 2500 chars) Automatically publishes the post to your LinkedIn profile Set up steps Connect your GitHub account and configure the Webhook in your repo's settings Add your Google Gemini API key under credentials Connect your LinkedIn OAuth2 account Activate the workflow — posts will publish automatically on every push

von karnVen
Cgmailsheets
free

Scrape Google Maps realtor leads with ScrapeOps, Google Sheets, Gmail and Slack

Overview This n8n template automates finding real estate agents in any city using Google Maps. It deep-scrapes listings via ScrapeOps Proxy, deduplicates results against Google Sheets, saves fresh leads, and sends alerts via Gmail and Slack — all triggered from a simple web form. Who is this for? Real estate marketing agencies building targeted agent lead lists PropTech companies prospecting realtors in new cities or regions Sales teams running outreach campaigns targeting real estate agencies Anyone who needs structured local real estate agent data from Google Maps What problem does it solve? Manually searching Google Maps for real estate agents, copying contact details, and checking for duplicates is slow and inconsistent. This workflow automates the entire process — from search to deduplication to saved leads — so you get fresh, structured agent data with zero manual effort. How it works A web form captures the target city. ScrapeOps Proxy scrapes Google Maps for real estate agents in that city. Each listing is deep-scraped for full details: phone, website, rating, reviews, and address. Results are compared against existing Google Sheet entries to remove duplicates. Only new lea

von Ian Kerins
C
free

Validate JSON and CSV import data via webhook with configurable rules

How it works Send a POST request with a JSON array of records and your validation rules. The workflow checks every field in every row and returns a structured report showing valid/invalid rows with specific error messages. Supported rules: required, type (string, number, email, date, url, boolean), min/max, minLength/maxLength, regex, enum, and dateFormat (YYYY-MM-DD, DD.MM.YYYY, MM/DD/YYYY). The response includes a summary (total, valid, and invalid row counts) plus a detailed error list with row number, field name, failed rule, and error message. Set up steps Import the workflow and activate it Send a POST request to the webhook URL with "data" (array of objects) and "rules" (validation config) Optionally edit the Set Default Rules node to define fallback rules — these are used when no rules are sent in the request No external services or API keys required. Works on self-hosted and cloud n8n instances. Who is this for Operations teams, data engineers, and anyone importing data into ERP systems, CRMs, or databases who needs to catch errors before bad data enters the system. How to customize Edit the Set Default Rules node for your standard field definitions. Rules sent in the requ

von Florian Eiche
BCsheetsnotion
free

Monitor news sentiment trends with GPT-4o-mini, MrScraper, Slack and Notion

Description This n8n template automatically monitors news sources daily, analyzes article sentiment using AI, and delivers structured intelligence reports to your team — all without any manual reading. It uses MrScraper to discover and extract articles, GPT-4o-mini to score sentiment and flag urgent issues, and delivers results to both Notion (for archiving) and Slack (for real-time alerts and daily digests). Whether you're tracking brand reputation, monitoring a competitor, or staying on top of industry trends, this workflow turns the open web into a fully automated radar system that runs every morning before your team starts their day. How It Works Phase 1 – Trigger & Config:** A Schedule Trigger fires daily at 8AM. The workflow reads your list of target news source URLs from a Google Sheet, then loops through each source one by one. Phase 2 – URL Discovery:** For each news source, the Map Agent crawls the page and extracts individual article URLs. URLs are filtered using include patterns to keep only actual article links, deduplicated, and capped at your configured maxArticles limit. Phase 3 – Article Extraction:** Each article URL is processed by the General Agent, which extrac

von riandra
AazureopenaichatmodelC
free

Optimize n8n workflow JSON using Azure OpenAI GPT-4o-mini

📊 Description Automate the optimization of your n8n workflows using AI-powered analysis and restructuring 🤖. This workflow receives any existing n8n JSON via webhook, analyzes it using Azure OpenAI, and returns a fully optimized, import-ready workflow file. It improves execution speed, reduces redundant nodes, enhances API efficiency, and ensures structural cleanliness — all while preserving the original logic. Perfect for automation builders who want cleaner, faster, and production-ready workflows instantly. 🚀 What This Template Does 📥 Receives an n8n workflow JSON via a secure POST webhook. 🔍 Extracts and validates the workflow body to ensure proper structure. 🤖 Sends the workflow to Azure OpenAI for performance and structural optimization. 🧹 Strips markdown, parses, and validates the AI-returned JSON. 📄 Converts the optimized workflow into a downloadable .json file. 📤 Returns the optimized workflow file directly to the caller. Key Benefits ✅ Automatically optimizes workflow performance and execution speed ✅ Reduces redundant nodes and unnecessary API calls ✅ Ensures clean, structured, import-ready n8n JSON ✅ Preserves original business logic and integrations ✅ Eliminate

von Rahul Joshi
Cevaluationgmail
free

Route event sales leads with Gmail, Google Gemini, Sheets and Salesforce

Email Sentiment Router for Event Sales Leads Who is this for? Event organizers, conference managers, and sales teams drowning in sponsor/exhibitor/partner emails who need zero-drop leads + real-time pipeline analytics. Key nodes: Gmail Trigger - Google Gemini (2x) - Data Table - Google Sheets - Send Email - Slack Category: Sales / AI / Event Management Level: Advanced Credits: Milo Bravo (BRaiA Labs) What problem is this workflow solving? Email overload kills event revenue: 200+ weekly sponsor/partner emails go unread No sentiment/intent analysis = missed hot leads Manual routing wastes 10+ hours/week Zero visibility into pipeline trends This workflow auto-classifies, routes, and analyzes every inbound lead. What this workflow does? Gmail Trigger monitors event inbox for new emails Gemini #1 scores sentiment (Positive/Neutral/Negative) Gemini #2 extracts topic, intent, urgency, org, budget signals Logs to email_analytics Data Table + Google Sheets Routes intelligently: Positive → Hot Lead email + Slack #hot-leads (2h SLA) Neutral → Nurture email + Slack #follow-ups (24-48h) Negative → Insights + Slack #insights Looker Studio dashboard auto-updates from Sheets Setup (5 minutes): Gma

von Milo Bravo
Csheetsjinaai
free

Enrich Google Maps business leads using Apify, OpenAI, Jina AI, Telegram and Sheets

Automate your B2B lead generation by scraping Google Maps, generating AI business summaries, and extracting hidden contact emails from websites, all triggered via Telegram. Why Use This Workflow? Time Savings: Reduces lead research time from 4 hours of manual searching to 5 minutes of automated execution per 50 leads. Cost Reduction: Replaces expensive monthly lead database subscriptions with a pay-as-you-go model using Apify and OpenAI. Error Prevention: Uses AI to deduplicate results and ensure company summaries are professional and consistent for your CRM. Scalability: Allows you to trigger massive scraping tasks from your mobile phone via Telegram while the backend handles the heavy lifting. Ideal For Sales Development Reps (SDRs):** Rapidly building targeted lists of local businesses for cold outreach or door-knocking campaigns. Marketing Agencies:** Identifying new businesses in specific sectors (e.g., "Dentists in Paris") to offer SEO or advertising services. Real Estate Investors:** Finding specific commercial properties or business types in a geographic area to identify investment opportunities. How It Works Trigger: The workflow starts when you send a message to your Tele

von Khairul Muhtadin
BCsheets
free

Enrich and score Japanese B2B leads with gBizINFO, web scraping, and Gemini AI

Enrich and score Japanese company leads with government APIs, web scraping, and Gemini AI What this workflow does This workflow automates B2B lead research for Japanese companies. Submit a company name through a web form, and the workflow queries two free Japanese government APIs for corporate registry and business data, checks Google Maps for reputation, scrapes the company website for contact details and tech stack, and uses Gemini AI to score the lead and write a personalized outreach message in Japanese. Results are saved to Google Sheets, and high-scoring leads trigger a Slack alert. How it works Lead input form — A sales rep submits a company name along with industry, prefecture, priority, and notes National Tax Agency API — Retrieves the official corporate number, registered name, address, and entity type using the free 法人番号 API gBizINFO API — Enriches the lead with employee count, capital, establishment date, representative, subsidies, certifications, patents, and business summary using the free Ministry of Economy API Google Maps Places API — Fetches the company's star rating, review count, and business status for reputation assessment Website scraping — Fetches the compan

von Oka Hironobu
CW
free

Notify customers on WhatsApp when Stripe payment succeeds with MoltFlow

How it works Stripe fires a checkout.session.completed webhook when a payment succeeds Customer name, phone, email, and payment amount are extracted If the customer has a phone number, a WhatsApp receipt is sent via MoltFlow Payments without phone numbers are logged and skipped Set up steps (~5 min) Create a MoltFlow account at molt.waiflow.app and connect your WhatsApp Generate an API key in MoltFlow (Sessions page > API Keys tab) Activate this workflow and copy the webhook URL In Stripe Dashboard > Developers > Webhooks, add the n8n URL for checkout.session.completed Set YOUR_SESSION_ID in the Format Receipt code node Add your MoltFlow API Key as Header Auth credential (header name: X-API-Key) Prerequisites MoltFlow account with active WhatsApp session Stripe account with webhook access Customer phone numbers collected during checkout (Stripe customer_details.phone)

von Alex Pekler
Cgmailsheets
free

Get new ranked Google AI Overview keywords via email with DataForSEO

Once a week, this workflow automatically detects newly ranked keywords in Google AI Overview across your domains using DataForSEO API. It pulls the latest data for every target, stores a new snapshot in Google Sheets, and compares it with the previous run. Any new keywords and related info is automatically appended to a dedicated log sheet, and a short email recap is sent to your chosen recipients, so your team can easily review updates without manual monitoring. Who’s it for SEO specialists and marketers who want a hands-off way to track newly ranked keywords in Google’s AIO for specific domains and get weekly updates without manual checks. What it does This workflow automatically discovers new keywords your domains started ranking for in Google AI Overview (AIO), logs them in Google Sheets, and emails you a weekly summary of what’s changed. How it works Triggers on a chosen schedule (default: once a week). Reads your keywords and domains from Google Sheets. Pulls the latest data from Google AI Overview via DataForSEO API. Compares the results with the previous snapshot. Appends newly ranked keywords to a dedicated Google Sheet. Sends a weekly summary email. Requirements DataForSE

von DataForSEO
ACDembeddingsopenai
free

Generate M&A due diligence PDF reports with LlamaIndex, OpenAI, Pinecone, and S3

Streamline M&A due diligence with AI. This n8n workflow automatically parses financial documents using LlamaIndex, embeds data into Pinecone, and generates comprehensive, AI-driven reports with GPT-5-mini, saving hours of manual review and ensuring consistent, data-backed insights. Why Use This Workflow? Time Savings: Reduces manual document review and report generation from days to minutes. Cost Reduction: Minimizes reliance on expensive human analysts for initial data extraction and summary. Error Prevention: AI-driven analysis ensures consistent data extraction, reducing human error and oversight. Scalability: Effortlessly processes multiple documents and deals in parallel, scaling with your business needs. Ideal For Investment Analysts & Private Equity Firms:** Quickly evaluate target companies by automating the extraction of key financials, risks, and business models from deal documents. M&A Advisors:** Conduct preliminary due diligence efficiently, generating comprehensive overview reports for clients without extensive manual effort. Financial Professionals:** Accelerate research and analysis of company filings, investor presentations, and market reports for critical decision

von Khairul Muhtadin
Chubspot
free

Auto-sync and qualify HubSpot CRM contacts with Lusha bulk enrichment

How it works Runs every 6 hours to pull contacts needing a data refresh from HubSpot All contacts are bulk-enriched with Lusha in a single API call Each contact is scored against your ICP criteria (seniority, company size, industry) CRM records are updated with fresh data; high-scoring fast-track leads trigger a Slack alert Set up steps Install the Lusha community node Add your Lusha API, HubSpot, and Slack credentials Customize the ICP scoring weights in the Code node Set the Slack channel for fast-track alerts and activate

von Daniel Turgeman
CsheetsW
free

Make outbound sales calls from Google Sheets using a VAPI voice agent

This n8n workflow automates outbound phone calls to new leads using VAPI, with built-in timezone detection to ensure you're only calling during business hours. Use cases include appointment setting, lead qualification, follow-up surveys, payment reminders, and sales outreach—anywhere you need to scale phone conversations without scaling headcount. Good to know You'll need a VAPI phone number and configured voice agent before using this workflow. VAPI offers $10 free credit when you sign up (~70 minutes of calls). Create your account here. The timezone logic covers common country codes (UK, US, EU, Australia, India, UAE, Singapore, Japan). You can extend this in the Code node. How it works A new row in Google Sheets triggers the workflow (you can swap this for a webhook, form, or CRM trigger). The phone number is sanitised—stripping spaces, dashes, and brackets so it's in the correct format for dialling. The lead's timezone is determined from their country code, and the workflow checks whether it's between 8am-5pm local time. If not, it waits and retries. VAPI places the outbound call using your configured voice agent. The workflow polls VAPI's API until the call ends, then retrieve

von Marcus Taylor
CW
free

Summarize YouTube videos in Slack using AssemblyAI transcription and OpenAI

🧠 How it works This workflow lets users generate structured summaries from YouTube videos directly inside Slack using n8n, AssemblyAI, and OpenAI. When a user submits a YouTube link via a Slack slash command, the workflow extracts the video ID and validates the video duration. Videos longer than the supported limit are stopped early with a clear message sent back to Slack. For valid videos, the workflow downloads the video audio as an MP3 file and sends it to AssemblyAI for transcription. Once the transcription is complete, the transcript is passed to an AI model to generate a structured summary. The final result includes a concise TL;DR, key takeaways, and notable quotes, which are formatted and posted back to Slack asynchronously using the original response URL. ⚙️ Features • Triggers from a Slack slash command with a YouTube link • Validates video length before processing (maximum 10 minutes) • Downloads YouTube audio as MP3 using RapidAPI • Transcribes audio using AssemblyAI • Generates structured summaries (TL;DR, key takeaways, notable quotes) • Posts the summarized result back to Slack asynchronously 💡 Use cases & expected outcomes • Educational YouTube videos → Receive a

von Marsel Bait
ACsheetsW
free

Score HubSpot deal conversion risk with OpenAI and Slack alerts

How it works This workflow runs daily to review all active deals and evaluate their likelihood of closing successfully. It enriches deal data with recent engagement activity and applies AI-based behavioral scoring to predict conversion probability. High-risk or stalled deals are flagged automatically. Actionable alerts are sent to the sales team, and all analysis is logged for forecasting and tracking. Step-by-step Trigger and fetch deals** Schedule Trigger – Runs the workflow automatically at a fixed time each day. Get Active Deals from HubSpot – Retrieves all open, non-closed deals with key properties. Formatting Data – Normalizes deal fields such as value, stage, age, contacts, and activity dates. Enrich deals with engagement data** If – Filters only active deals for further processing. Loop Over Items – Processes each deal individually. HTTP Request – Fetches engagement associations for the current deal. Get an engagement – Retrieves detailed engagement records from HubSpot. Extracts Data – Structures engagement content, timestamps, and metadata for analysis. Analyze risk, alert, and store results** OpenAI Chat Model – Provides the language model used for analysis. AI Agent – E

von Avkash Kakdiya
Cgmail
free

Generate PDF billing documents from webhook JSON with Acrewity and Gmail

PDF Document Generator Who is this for? Businesses and freelancers who need to generate professional PDF documents (invoices, quotes, receipts, estimates) from order/sales data. Supported Document Types invoice** - Standard invoice with due date quote** - Quote/proposal with validity period estimate** - Cost estimate with validity period receipt** - Payment receipt with payment method proforma** - Proforma invoice with due date What it does Receives order data via webhook Builds styled HTML based on document type Converts HTML to PDF using Acrewity Returns the PDF as base64 in the response Setup Configure your Acrewity API credentials (can use free account) Activate the workflow POST order data to the webhook URL (or use mock data to test) Sample POST body { "documentType": "invoice", "company": "Acme Electronics", "logoUrl": "https://example.com/logo.png", "documentNumber": "INV-2024-001", "customerName": "John Smith", "customerEmail": "[email protected]", "customerAddress": "123 Main St", "dueDate": "2024-02-15", "taxRate": 0.13, "notes": "Thank you!", "items": [ {"name": "Widget", "quantity": 10, "price": 5.99} ] } Notes taxRate is optional (0.13 = 13%, omit for no tax) logoUrl i

von Acrewity
Cgmailsheets
free

Scrape & Track Dentist Leads from Google Maps with ScrapeOps, Sheets & Notifications

Overview This n8n template automates the generation of local business leads by scraping Google Maps. It goes beyond basic search results by visiting individual business pages to extract detailed contact information, reviews, and attributes (like LGBTQ+ friendly status). It includes built-in deduplication against a Google Sheet to ensure you only receive alerts for new leads. Who is this for? Marketing Agencies**: Finding local clients for services. Sales Teams**: Building lists of prospects in specific cities. Recruiters**: Finding businesses in specific niches. Researchers**: Gathering data on local business landscapes. What problems it solves Manual Data Entry**: Eliminates the need to copy-paste business details from Maps. Duplicate Leads**: Automatically checks against your database to prevent duplicate entries. Incomplete Data**: Performs a "deep scrape" to get data often missing from list views (websites, full phone numbers, reviews). Delayed Action**: Sends instant alerts via Gmail and Slack so you can act on new leads immediately. How it works Input: Takes a city name via a form (or can be scheduled). Search: Uses ScrapeOps to search Google Maps for your target keyword (e.g

von Ian Kerins
ACgmailsheets
free

Audit web pages for SEO issues with Decodo, GPT-4 and Google Sheets

What this workflow does This workflow automatically audits web pages for SEO issues and generates an executive-friendly SEO report using AI. It is designed for marketers, founders, and SEO teams who want fast, actionable insights without manually reviewing HTML, meta tags, or SERP data. The workflow: Reads URLs from Google Sheets Scrapes page content using Decodo (reliable scraping, even on protected sites) Extracts key SEO elements (title, meta description, canonical, H1/H2, visible text) Uses an AI Agent to analyze the page and generate: Overall SEO status Top issues Quick wins Title & meta description recommendations Saves results to Google Sheets Sends a formatted HTML executive report by email (Gmail) Who this workflow is for This template is ideal for: SEO consultants and agencies SaaS marketing teams Founders monitoring their landing pages Content teams doing SEO quality control It focuses on on-page SEO fundamentals, not backlink analysis or technical crawling. Setup (step by step) 1. Google Sheets Create an input sheet with one URL per row Create an output sheet to store SEO results 2. Decodo Add your Decodo API credentials The URL is automatically taken from the input she

von Kevin Meneses
Cgmail
free

Automated Digital Certificate Creator & Validator with PDF Generation

A complete workflow to create, send, and verify digital certificates fully automated with n8n.Perfect for courses, events, onboarding, internal training, or product education. Visit my website for the: full deploy guide) See my Templates on Github: paoloronco/n8n-templates) Example-certificate ✔ 1. Certificate Generation When a POST webhook request arrives, the workflow: reads name, surname, course, and email generates a unique Certification ID saves everything in the Data Table ✔ 2. Data Storage Every issued certificate is recorded in an n8n Data Table containing: Name Surname CertificationID This creates a permanent, searchable certificate registry. ✔ 3. PDF Creation Uses PDF Generator API to create a professional PDF certificate from an HTML template: fully customizable (layout, colors, branding) includes candidate data, course, ID, and date ✔ 4. Email Delivery The workflow automatically sends the certificate to the recipient using Gmail OAuth2 with: a predefined subject the PDF attached a customizable message ✔ 5. Verification System A public endpoint /certificationscheck allows: validation of Certification IDs returning the candidate’s name and surname if valid responding with

von Paolo Ronco
BCW
free

Summarize YouTube Videos with Gemini AI and Send via Telegram

This automated TLDW (Too Long; Didn't Watch) generator using Decodo's scraping API to extract complete video transcripts and metadata, then uses Google Gemini 3 to create intelligent summaries with key points, chapters breakdown, tools mentioned, and actionable takeaways—eliminating hours of manual note-taking and video watching. Why Use This Workflow? Time Savings: Convert a 2-hour video into a readable 5-minute summary, reducing research time by 95% Comprehensive Coverage: Captures key points, chapters, tools, quotes, and actionable steps that manual notes often miss Instant Accessibility: Receive structured summaries directly in Telegram within 30-60 seconds of sharing a link Multi-Language Support: Process transcripts in multiple languages supported by YouTube's auto-caption system Ideal For Content Creators & Researchers:** Quickly extract insights from competitor videos, educational content, or industry talks without watching hours of footage Students & Educators:** Generate study notes from lecture recordings, online courses, or tutorial videos with chapter-based breakdowns Marketing Teams:** Analyze competitor content strategies, extract tools and techniques mentioned, and

von Khairul Muhtadin