Ebook to audiobook converter using MiniMax and FFmpeg
Ebook to Audiobook Converter [](https://youtu.be/xKqkjXIPZoM) ▶️ Watch Full Demo Video --- What It Does Turn any PDF ebook into a professional audiobook automatically. Upload a PDF, get an MP3 audiobook in your Google Drive. Perfect for listening to books, research papers, or documents on the go. Example: Input PDF → Output Audiobook Key Features Upload PDF via web form → Get MP3 audiobook in Google Drive Natural-sounding AI voices (MiniMax Speech-02-HD) Automatic text extraction, chunking, and audio merging Customizable voice, speed, and emotion settings Processes long books in batches with smart rate limiting Perfect For Students: Turn textbooks into study audiobooks Professionals: Listen to reports and documents while commuting Content Creators: Repurpose written content as audio Accessibility: Make content accessible to visually impaired users Requirements | Component | Details | |-----------|---------| | n8n | Self-hosted ONLY (cannot run on n8n Cloud) | | FFmpeg | Must be installed in your n8n environment | | Replicate API | For MiniMax TTS (Sign up here) | | Google Drive | OAuth2 credentials + "Audiobook" folder | ⚠️ Important: This workflow does NOT work on n8n Cloud because FFmpeg installation is required. Quick Setup Install FFmpeg Docker users: bash docker exec -it <n8n-container-name> /bin/bash apt-get update && apt-get install -y ffmpeg Native installation: bash sudo apt-get install ffmpeg Linux brew install ffmpeg macOS Get API Keys Replicate: Sign up at replicate.com and copy your API token Google Drive: Set up OAuth2 in n8n and create an "Audiobook" folder in Drive Import & Configure Import n8n.json into your n8n instance Replace the Replicate API token in the "MINIMAX TTS" node Configure Google Drive credentials and select your "Audiobook" folder Activate the workflow Cost Estimate | Component | Cost | |-----------|------| | MiniMax TTS API | ~$0.15 per 1000 characters (~$3-5 for average book) | | Google Drive Storage | Free (up to 15GB) | | Processing Time | ~1-2 minutes per 10 pages | How It Works PDF Upload → Extract Text → Split into Chunks → Convert to Speech (batches of 5) → Merge Audio Files (FFmpeg) → Upload to Google Drive The workflow uses four main modules: Extraction: PDF text extraction and intelligent chunking Conversion: MiniMax TTS processes text in batches Merging: FFmpeg combines all audio files seamlessly Upload: Final audiobook saved to Google Drive Voice Settings (Customizable) json { "voiceid": "FriendlyPerson", "emotion": "happy", "speed": 1, "pitch": 0 } Available emotions: happy, neutral, sad, angry, excited Limitations ⚠️ Self-hosted n8n ONLY (not compatible with n8n Cloud) PDF files only (not EPUB, MOBI, or scanned images) Large books (500+ pages) take longer to process Requires FFmpeg installation (see setup above) Troubleshooting FFmpeg not found? Docker: Run docker exec -it <container> /bin/bash then apt-get install ffmpeg Native: Run sudo apt-get install ffmpeg (Linux) or brew install ffmpeg (macOS) Rate limit errors? Increase wait time in the "WAITS FOR 5 SECONDS" node to 10-15 seconds Google Drive upload fails? Make sure you created the "Audiobook" folder in your Google Drive Reconfigure OAuth2 credentials in n8n --- Created by emp0 | More workflows: n8n Gallery
By Jay Emp0Lead analysis & personalized email generation with OpenAI, Firecrawl & gotoHuman
💼 Lead Outreach Agent This AI workflow helps you quickly react to new leads with an initial personalized outreach. A great start of your lead nurturing sequence to avoid loosing precious leads that could turn into paying customers. Most importantly it uses gotoHuman so you can review the AI-analysis and the AI-generated editable email draft before it is sent out in your name. How it works We receive a new form submission incl. the email address and company name of the prospect and extract the website URL from the address. We proceed only for company email addresses. We scrape the website using Firecrawl and summarize it with OpenAI Our AI agent runs an analysis based on the lead information and documents describing our own company and the defined Ideal Customer Profiles. It also fetches previously approved examples from gotoHuman so you're effectively creating a self-learning agent. It responds with the analysis and the drafted outreach email. Human Approval in gotoHuman. Allows editing the drafted email. We can now send our email including any edits made during the review and be sure that we are using high-quality content instead of AI slop. How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up your credentials for the different services In gotoHuman, select and create the pre-built review template "Lead Outreach Agent" or import the ID: T873fI1Xli5nt3eh33Rj Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (Human Supervision) OpenAI (AI Agent) Typeform (Lead Form Submissions) Firecrawl (Website Scraping) Gmail Google Docs (Company Wiki) How to customize Replace the Typeform trigger with any other way you might receive or find new leads Provide the AI Sales Agent with more context to properly analyze the lead and create better personalized emails. Consider adding tools that allow the agent to fetch more infos about the prospect's company or personal profile, or to find out more about your specific product/service offerings and how your sales pitches look like.
By gotoHumanAI-powered contact management in KlickTipp with MCP server
Community Node Disclaimer: This workflow uses KlickTipp community nodes. How It Works This workflow connects an MCP Server with the KlickTipp contact management platform and integrates it with an LLM (e.g. Claude etc.) to enable intelligent querying and segmentation of contact data. It covers all major KlickTipp API endpoints, providing a comprehensive toolkit for automated contact handling and campaign targeting. Key Features MCP Server Trigger: Initiates the workflow via the MCP server, listening for incoming requests related to contact queries or segmentation actions. LLM Interaction Setup: Interacts with an OpenAI or Claude model to handle natural language queries such as contact lookups, tagging, and segmentation tasks. KlickTipp Integration: Complete set of KlickTipp API endpoints included: Contact Management: Add, update, get, list, delete, and unsubscribe contacts. Contact Tagging: Tag, untag, list tagged contacts. Tag Operations: Create, get, update, delete, list tags. Opt-In Processes: List and retrieve opt-in process details. Data Fields: List and get custom data fields. Redirects: Retrieve redirect URLs. Use Cases Supported: Query contact information via email or name. Identify and segment contacts by city, region, or behavior. Create or update contacts from the provided data. Dynamically apply or remove tags to initiate campaigns. Automate targeted outreach based on contact attributes. Setup Instructions Install and Configure Nodes: Set up MCP Server. Configure the LLM connection (e.g., Claude Desktop configuration). Add and authenticate all KlickTipp nodes using valid API credentials. Define Tagging and Field Mapping: Identify which fields and tags are relevant to your use cases. Ensure necessary tags and custom fields are already created in KlickTipp. Workflow Logic: Trigger via MCP Server: A prompt or webhook call activates the server listener. Query Handling via LLM Agent: AI interprets the natural language input and determines the action. Contact Search & Segmentation: Searches contacts using identifiers (email, address) or criteria. Data Operations: Retrieves, updates, or manages contact and tag data based on interpreted command. Campaign Preparation: Applies tags or sends campaign triggers depending on query results. Benefits: AI-Powered Automation: Reduces manual contact search and tagging efforts through intelligent processing. Scalable Integration: Built-in support for full range of KlickTipp operations allows diverse use-case handling. Data Consistency: Ensures structured data flows between MCP, AI, and KlickTipp, minimizing errors. Testing and Deployment: Use defined prompts such as: “Tell me something about the contact with email address X” “Tag all contacts from region Y” “Send campaign Z to customers in area A” Validate expected actions in KlickTipp after prompt execution. Notes: Customization: Adjust tag logic, AI prompts, and contact field mappings based on project needs. Extensibility: The template can be expanded with further logic for Google Sheets input or campaign feedback loops Resources: Use KlickTipp Community Node in n8n Automate Workflows: KlickTipp Integration in n8n
By KlickTippGenerate daily stock buy/sell signals using technical indicators and Google Sheets
📊 Description This automation calculates commonly used technical indicators for selected stocks and presents the results in a simple, structured dashboard. It removes the need for manual chart analysis by automatically fetching price data, calculating indicators, and generating clear Buy, Sell, or Neutral signals. The workflow is designed to run daily and provides a consistent technical snapshot for each tracked stock. It is suitable for traders and analysts who want a repeatable and transparent way to monitor technical conditions without relying on manual tools. ⚙️ What This Template Does Runs automatically on a daily schedule Processes a predefined list of stock symbols Fetches recent daily price data from a market data API Calculates RSI, Moving Averages, and MACD Applies rule-based logic to generate Buy, Sell, or Neutral signals Stores indicator values and signals in Google Sheets ✅ Key Benefits Eliminates manual technical analysis Uses standard, widely accepted indicators Produces clear and easy-to-interpret signals Keeps all results in a single dashboard Easy to customize and extend 🧩 Features Daily scheduled execution Historical price data integration RSI (14-period) calculation Moving Averages (SMA 20 and SMA 50) MACD (12, 26, 9) calculation Rule-based Buy / Sell / Neutral classification Google Sheets dashboard output Built-in data validation checks 🔐 Requirements To use this workflow, you will need: A market data API key (Alpha Vantage or similar) A Google Sheets account for storing results Google Sheets credentials configured in n8n An active n8n instance (cloud or self-hosted) 🎯 Target Audience Stock traders and investors Technical analysts Finance and research teams Automation builders working with market data 🛠 Customization Options Update the stock list to track different symbols Adjust indicator periods or thresholds Modify Buy / Sell signal rules Change the schedule frequency Extend the dashboard with additional indicators
By Rahul Joshi