Skip to content
FlowHubFluxonLab
B
AI Automationfree

Generate sound effects from chat with Groq, ElevenLabs and Google Drive

by Kevin Yuadapted from n8n official workflow galleryUpdated Aug 2026
RequiresBBasic LLM ChainCCodeGoogle DriveGoogle DriveGroq Chat ModelGroq Chat ModelHTTP RequestHTTP Request
Share Post Share
ChWhen Chat Message ReceivedWhen Chat Messa…CLCompose Sound Effect PromptCompose Sound E…Groq Llama ModelCoClamp Sound SettingsClamp Sound Set…HRGenerate Sound With ElevenLabsGenerate Sound …Upload to Google DriveUpload to Googl…SeRespond in ChatSeReport Sound FailureReport Sound Fa…12345678
1/5
STEPS · 8
Starts from a chat message

Quick Overview This workflow turns an n8n Chat message into a generated sound effect using Groq (Llama 3.3) to refine the prompt, calls the ElevenLabs sound-generation API to create an MP3, uploads the file to Google Drive, and replies in chat with a shareable link. How it works Receives a message in an n8n Chat trigger containing the user’s description of a sound. Uses Groq (Llama 3.3) to rewrite the description into a single detailed ElevenLabs sound-effects prompt and choose duration and prompt-influence settings. Parses the model’s JSON response and clamps duration (0.5–30s) and prompt influence (0–1), falling back to the original message if parsing fails. Sends the prompt and settings to the ElevenLabs sound-generation API and downloads the generated MP3. Uploads the MP3 to Google Drive with a timestamped filename based on the prompt text. Responds in chat with the prompt used, the final settings, and a Google Drive link, or returns a friendly error message if generation fails. Setup Create an ElevenLabs API credential using HTTP Header Auth (header name xi-api-key) and select it on the ElevenLabs request. Add a Groq API credential and select it on the Groq Llama model node.

Tags

n8nreference-onlychain-llmgoogle-drivelm-chat-groq
Connects
BBasic LLM ChainCCodegoogledriveGoogle DrivegroqchatmodelGroq Chat ModelWHTTP Request
CategoryAI Automation
Triggermanual
Complexitymedium
Nodes8
AddedJul 6, 2026

Related workflows

See all AI Automation
ABCD
free

Run AI employee onboarding with Groq, Google Workspace, and Gemini

Quick overview This workflow ingests onboarding documents from Google Drive into an in-memory vector store with Google Gemini embeddings, then runs a multi-channel onboarding chatbot powered by Groq, sends role-based welcome emails via Gmail when a new hire appears in Google Sheets, and schedules day 1/7/30 check-in emails. How it works Manually runs an ingestion flow that lists files in a specified Google Drive folder, downloads them, extracts text, and indexes them into an in-memory vector store using Google Gemini embeddings. Receives employee questions via n8n Chat (and optionally Slack or Telegram), normalizes the message into a single format, and rejects empty or overly long inputs. Uses a Groq LLM agent with per-user session memory to retrieve relevant excerpts from the in-memory company_docs knowledge base and generate a grounded answer, or directs the user to HR when no relevant content is found. Routes the assistant’s response back to the originating channel (n8n Chat, and optionally Slack or Telegram). Triggers every minute on updates to a Google Sheets “Hires” sheet, validates rows marked as Hired, and skips hires already present in the “Tracking” sheet. Builds a depart

by Yash Kabra
BCgmailgoogledrive
free

Archive and index legal PDFs from Gmail with Gemini, Sheets and Google Drive

Quick Overview This workflow monitors Gmail for unread emails with PDF attachments, uses Google Gemini to extract Japan Electronic Books Preservation Act filing metadata, logs a searchable index in Google Sheets, and archives documents into Google Drive folders while notifying Slack when extraction or classification fails. How it works Polls Gmail hourly for unread emails that contain attachments and downloads the attached files. Extracts text from the first PDF attachment. Sends the extracted text to Google Gemini to pull out transaction date, counterparty, amount, and document type, and alerts Slack if the document text cannot be read. Builds an Act-compliant PDF filename from the extracted fields and checks that date, counterparty, and amount are all present. If required metadata is missing, posts a warning to a Slack channel to handle the document manually. If metadata is complete, appends a row to a Google Sheets “Document Index”, marks the Gmail message as read to prevent reprocessing, and uploads the PDF to the matching Google Drive folder (invoice/receipt/contract) or flags it in Slack if unclassified. Setup Connect credentials for Gmail, Google Gemini (PaLM) API, Google Sh

by Oka Hironobu
BCgmail
free

Monitor Japanese business partners for registry changes with gBizINFO and Gemini

Quick Overview This workflow runs weekly to check Japanese business partners listed in Google Sheets against the gBizINFO corporate registry API, uses Google Gemini to assess the risk impact of detected changes, updates the stored partner snapshot, and escalates findings to Slack and Gmail based on materiality. How it works Runs every week on a schedule. Reads the partner list (including corporate numbers and last-known name/address) from Google Sheets. Queries the gBizINFO corporate registry API for each partner and posts a Slack message if the lookup fails. Compares the latest registry data to the stored snapshot to detect name, address, or closure/dissolution changes and continues only when changes are found. Sends the detected changes to Google Gemini to classify materiality (high/medium/low) with a short summary and recommended action, and posts a Slack message if the assessment fails. Updates the Google Sheets partner snapshot with the latest registry details so the change is recorded. Routes by materiality to notify Slack (medium/other), and for high materiality also posts a Slack alert and creates a Gmail draft requesting a credit review. Setup Create a Google Sheets spread

by Oka Hironobu