This article provides a complete, practical walkthrough of the Http Respondtowebhook Create Webhook n8n agent. It connects Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Build a Text-to-Speech API with n8n and ElevenLabs in Minutes
   
   Meta Description:  
   Learn how to build an automated text-to-speech API using n8n and ElevenLabs. This no-code workflow lets you convert text into speech through a simple POST request.
   
   Keywords:  
   n8n workflow, text-to-speech, ElevenLabs API, automation, no-code API, custom webhook, TTS automation, voice synthesis, JSON input validation, audio generation
   
   Third-Party APIs Used:
   - ElevenLabs API (https://api.elevenlabs.io)
   
   Article:
   
   Automating Text-to-Speech with n8n and ElevenLabs
   
   Voice generation tools have come a long way, and services like ElevenLabs provide human-like speech synthesis that can enhance digital content, automate customer responses, or even produce entire podcasts. But how can you easily integrate this power into your own project or workflow?
   
   In this article, we’ll explore a simple yet powerful automation built in n8n—a popular open-source automation tool—to create an API endpoint that turns text into speech using the ElevenLabs API. This serverless microservice can be deployed in minutes and used in applications ranging from video content creation to accessibility solutions.
   
   Let’s break down how the workflow operates.
   
   📌 Workflow Overview
   
   This n8n workflow creates a POST webhook endpoint /generate-voice. When you send a POST request to this endpoint with two parameters—text and voice_id—it generates a lifelike audio response using ElevenLabs and returns the binary voice file directly in the response.
   
   Here’s how it works, step by step:
   
   Step 1: The Webhook Listener
   
   The "Webhook" node listens for incoming HTTP POST requests at the endpoint /generate-voice. It’s configured to return a response based on the outcome of the entire workflow, ensuring users receive a valid success or error response.
   
   Step 2: Input Validation
   
   The "If params correct" node performs essential input validation by checking that both the required parameters—voice_id and text—exist in the incoming payload. If either is missing, the workflow doesn't proceed to the voice generation step.
   
   Step 3A: Text-to-Speech Request
   
   If the inputs are valid, the "Generate voice" node makes an authenticated POST request to ElevenLabs' text-to-speech API. This call uses the voice_id and text parameters from the webhook request to generate a personalized audio speech file.
   
   The API request URL follows this format:
   
   https://api.elevenlabs.io/v1/text-to-speech/{{voice_id}}
   
   The body of the request includes the text to convert:
   
   {
     "text": "Hello world, this is a test"
   }
   
   The HTTP headers must include an authentication key (xi-api-key) and specify application/json as the content type. The authentication credentials are securely managed via the "Custom Auth account" in n8n’s credentials center.
   
   Step 3B: Error Handling
   
   In cases where the webhook does not include the necessary parameters, the "Error" node returns a JSON payload indicating that the input is invalid:
   
   {
     "error": "Invalid inputs."
   }
   
   Step 4: Returning the Voice File
   
   If the API call to ElevenLabs is successful, the generated voice file (binary) is returned to the original caller through the "Respond to Webhook" node. This enables the API consumer to download or play the audio response directly from the HTTP call—a powerful feature when integrating with media players or frontend UIs.
   
   🔐 How to Set Up ElevenLabs Authentication in n8n
   
   Before you use the ElevenLabs API node, you’ll need to set up authentication.
   
   Go to Credentials → Create New and select “HTTP Custom Auth”. Use the following JSON format:
   
   {
     "headers": {
       "xi-api-key": "your-elevenlabs-api-key"
     }
   }
   
   Replace your-elevenlabs-api-key with your actual key from ElevenLabs. Assign this credential to the "Generate voice" HTTP node.
   
   📤 Sample cURL Request
   
   Once everything is set up, you can test the workflow by POSTing to your webhook with cURL:
   
   curl -X POST https://your-n8n-domain.com/webhook/generate-voice \
     -H "Content-Type: application/json" \
     -d '{
           "text": "Automating voice is cool!",
           "voice_id": "your_voice_id_here"
         }' --output output.mp3
   
   The result will be an MP3 audio file with the spoken version of the submitted text.
   
   🚀 Use Cases
   
   This voice generation automation can be used for:
   
   - Video narration automation
   - News reading bots
   - Screen readers and accessibility tools
   - Voiceovers for e-learning content
   - Virtual assistants with custom responses
   
   🎉 Final Thoughts
   
   With the accessibility of tools like n8n and advanced AI services like ElevenLabs, creating voice applications has never been easier. This workflow shows how to combine text and voice in a few simple steps—no traditional coding required.
   
   Try it out in your next project and see just how easy it is to give your application a voice.
   
   Happy automating!  
   — The n8Ninja 💬⚙️
   
   Resources:
   - ElevenLabs Text-to-Speech API Documentation: https://docs.elevenlabs.io/
   - n8n Docs on Webhooks: https://docs.n8n.io/nodes/n8n-nodes-base.webhook/
   - n8n Custom HTTP Credentials Setup Guide: https://docs.n8n.io/credentials/http-auth/

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.