Google Drive Http Bot for Slack

Translate English scripts to multilingual audio with AI and ElevenLabs

Automatically convert English scripts into professional multilingual audio files using GPT-4 for precise translation and ElevenLabs for lifelike speech generation. This workflow manages the entire process from webhook ingestion to secure storage in Google Drive, including automated Slack alerts for monitoring. Effortlessly localize your podcasts, videos, or educational content to reach a global audience in minutes.

Run this with your team's AI

What This Recipe Does

Transform your content localized for a global audience with this automated multimedia pipeline. This workflow eliminates the manual burden of translating scripts and coordinating voiceover talent by using advanced AI to convert English text into high-quality, natural-sounding audio in multiple languages simultaneously. By integrating ElevenLabs for professional-grade voice synthesis and Google Drive for automated file management, your team can produce localized marketing materials, training videos, or podcast segments in minutes rather than days. The automation handles the heavy lifting of splitting complex scripts, managing translation accuracy, and organizing the final audio assets. This allows your creative team to focus on strategy and content quality while the system ensures your message resonates across different regions and cultures without increasing your production budget or headcount.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Google Drive, Http, Bot for Slack connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Google Drive and Http once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Which languages are supported by this automation?

The system supports any language offered by ElevenLabs and your chosen translation provider, including major global languages like Spanish, French, German, Chinese, and many others.

Can I choose different voice profiles for different languages?

Yes, you can configure specific voice settings and stability parameters within the workflow to ensure the tone matches your brand across all translated versions.

How are the final audio files delivered?

The automation automatically uploads the generated audio files to designated folders in Google Drive and can send a notification via Slack once the processing is complete.

Does this handle long scripts or just short clips?

The workflow includes batch processing logic that allows it to handle longer scripts by splitting them into manageable segments before synthesis, ensuring reliability for longer content.

Coming from n8n?

This recipe uses nodes like StickyNote, ItemLists, GoogleDrive, RespondToWebhook and 10 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

StickyNote ItemLists GoogleDrive RespondToWebhook Set Langchain.agent Langchain.lmChatOpenAi Langchain.outputParserStructured Langchain.memoryBufferWindow HttpRequest SplitInBatches Webhook ErrorTrigger Slack

Based on n8n community workflow. View original

Related Recipes

Google Drive Pinecone

Build a document QA system with Google Drive, Pinecone, and OpenAI RAG

This automation streamlines document management by instantly reacting to file changes within your Google Drive. Instead of manually monitoring folders or waiting for notifications, this workflow detects new or updated files and triggers immediate downstream actions. For businesses handling high volumes of documentation, this ensures that team members are alerted the moment a contract is uploaded, a report is edited, or a client submits a project brief. By converting Google Drive into an active participant in your workflow, you eliminate the latency between document creation and business action. This results in faster response times, improved project momentum, and the removal of administrative bottlenecks that typically slow down collaborative environments. Whether you are managing legal documents, marketing assets, or internal reports, this automation provides a reliable bridge between your storage system and your operational processes.

See the recipe
Http Jotform Google-gemini Jina AI

Automate vendor due diligence research with Gemini & Jina AI

This AI Safety and Compliance automation provides a robust framework for organizations to vet content and data against internal policies and regulatory standards. By utilizing a structured form trigger, the workflow captures submissions and subjects them to an intelligent analysis process powered by Jina AI. It evaluates inputs for potential risks, compliance violations, or safety concerns, ensuring that every piece of data moving through your pipeline adheres to predefined safety protocols. The system includes built-in wait states and conditional logic to allow for human-in-the-loop verification when necessary, finally consolidating all findings into a centralized Google Sheets repository for auditing. This automation eliminates the manual bottleneck of compliance reviews, reduces the risk of human error in safety assessments, and provides a transparent audit trail for stakeholders and regulators.

See the recipe
Langchain.chatTrigger Langchain.lmChatOpenAi Langchain.memoryBufferWindow Langchain.agent +10

AI-powered document chat with Nextcloud files using LangChain and OpenAI

This AI-driven document management automation transforms how your organization interacts with stored data. By integrating a conversational AI interface with NextCloud, this workflow allows team members to query, extract, and analyze information from files using natural language. Instead of manually searching through folders and reading dozens of documents to find specific details, users can simply ask questions and receive structured summaries or specific data points instantly. The system intelligently routes requests, processes various file types through automated extraction, and aggregates results into a cohesive response. This significantly reduces the time spent on administrative research and ensures that critical information trapped in static documents becomes an accessible, actionable asset for your entire team. By bridging the gap between raw file storage and intelligent retrieval, this automation empowers better decision-making and accelerates project timelines.

See the recipe
Http Google-gemini Jotform

Generate product images & videos with Gemini AI, DeepSeek, and GoAPI for e-commerce

This automated content generation system streamlines the transition from raw data to production-ready assets. By integrating powerful web requests and HTML processing, the workflow automatically fetches, structures, and formats content based on your specific requirements. The inclusion of a Form Trigger allows team members to initiate content requests instantly, while the built-in logic handling ensures that data is validated and converted into the correct file formats before delivery. To ensure reliability in business operations, the system features a dedicated error-handling mechanism that sends immediate notifications via Discord if a process requires attention. This eliminates the manual overhead of constant monitoring and allows your creative team to focus on strategy rather than data entry. By standardizing the content creation pipeline, businesses can maintain a consistent brand voice and accelerate their publishing schedule without increasing headcount or technical complexity.

See the recipe

Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork