This article provides a complete, practical walkthrough of the Manual Http Create Webhook n8n agent. It connects HTTP Request, 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 HTTP Request, 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

• HTTP Request
• 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:  
   Automate Audio Transcription with n8n and ElevenLabs API: A Step-by-Step Workflow
   
   Meta Description:  
   Learn how to automate speech-to-text transcription with n8n using ElevenLabs’ API. This guide explains a simple three-node workflow that reads a media file, sends it to ElevenLabs, and retrieves accurate transcriptions.
   
   Keywords:  
   n8n, ElevenLabs API, speech-to-text, transcription automation, audio transcription, no-code automation, n8n workflow, transcribe audio n8n, ElevenLabs integration, automate transcription
   
   Third-Party APIs Used:
   
   - ElevenLabs Speech-to-Text API (https://api.elevenlabs.io/v1/speech-to-text)
   
   Article:
   
   —  
   In today’s digital workflow, automating repetitive tasks like transcription can save hours of manual effort. With powerful no-code tools like n8n and robust services like ElevenLabs’ Speech-to-Text API, automating transcription workflows is easier and more efficient than ever. This article explores a simple but powerful n8n workflow that reads a video file from disk, sends it to ElevenLabs for transcription, and receives the text-based output—all without writing a single line of code.
   
   Let’s break down how this workflow functions, step-by-step.
   
   🛠️ Workflow Overview
   
   This particular n8n workflow consists of just three nodes:
   
   1. A Manual Trigger to start the workflow manually.
   2. A File Reader node that pulls a media file (in this example, an MP4 file) from the local disk.
   3. An HTTP Request node that sends the file to ElevenLabs’ speech-to-text API and processes the response.
   
   Each of these nodes plays a crucial role in automating and streamlining the transcription process.
   
   🔁 Step 1: Manual Trigger
   
   The workflow begins with a Manual Trigger node:
   
   ```json
   {
     "id": "fe599878",
     "type": "manualTrigger"
   }
   ```
   
   This allows users to easily test or run the workflow manually, ideal for validating configurations or on-demand transcription jobs.
   
   🗂️ Step 2: Read Audio/Video File from Disk
   
   Next, the “Read/Write Files from Disk” node reads a video file located at /files/tmp/tst1.mp4.
   
   ```json
   {
     "fileSelector": "/files/tmp/tst1.mp4"
   }
   ```
   
   This file is then passed onto the next node as binary data. Note that n8n supports various formats, and this example works even for audio or video formats as long as ElevenLabs can handle them.
   
   💬 Step 3: Connect to ElevenLabs Speech-to-Text API
   
   Once the file is loaded, the HTTP Request node sends it to ElevenLabs’ speech-to-text endpoint.
   
   Here’s what it does:
   - Sends a POST request to: https://api.elevenlabs.io/v1/speech-to-text
   - Submits the file as multipart/form-data
   - Adds a required header: Content-Type: multipart/form-data
   - Includes a model parameter: model_id = scribe_v1
   - Uses HTTP Custom Authentication with stored credentials
   
   This integration with ElevenLabs allows us to take advantage of their highly accurate transcription model ("scribe_v1").
   
   Sample configuration snippet:
   ```json
   "bodyParameters": {
     "parameters": [
       {
         "name": "file",
         "parameterType": "formBinaryData",
         "inputDataFieldName": "data"
       },
       {
         "name": "model_id",
         "value": "scribe_v1"
       }
     ]
   }
   ```
   
   Once the request is made, ElevenLabs processes the transcription and returns the transcribed text, which can then be used downstream—such as writing to a file, sending an email, or storing to a database.
   
   🧠 Why Use ElevenLabs?
   
   ElevenLabs is known for its high-performance AI models focused on natural language processing and voice technologies. Their transcription model—scribe_v1—is optimized for both speed and accuracy, making it an excellent choice for media teams, content creators, and transcription services.
   
   ✅ Benefits of This Workflow
   
   - No coding required: Configure the entire workflow in n8n's visual editor.
   - Precise transcription: Leverage the power of ElevenLabs AI models.
   - Extensibility: Easily expand the workflow to include additional nodes like notifying users, storing the output, or triggering other automations.
   - Local or cloud deployment: n8n can be self-hosted or used via cloud platforms.
   
   📌 Final Thoughts
   
   Transcribing audio or video content has traditionally been a time-consuming and manual process. With tools like n8n and ElevenLabs, you can dramatically improve efficiency while retaining reliability and accuracy. Whether you're a content creator processing interviews, a business archiving meetings, or a developer integrating voice capabilities—this workflow is a practical starting point for automation.
   
   Start saving time today by implementing this simple, scalable, and accurate transcription workflow in n8n.
   
   —
   
   Ready to take the next step? You can enrich this workflow by adding features such as automatic file uploaders, webhook triggers, or file writers to store transcriptions in your preferred system. The possibilities are endless in the no-code world!

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.