AI-Powered Document Generation with Branded Styling - n8n Workflow

Automate branded DOCX document creation using an n8n workflow integrating Claude AI and Json2Doc. This robust n8n template manages complex styling, AI prompting, and job polling to deliver professional documents.

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Who is this best for?


  • Technical writers needing to rapidly generate consistently formatted documents.

  • Businesses requiring automated creation of reports, contracts, or whitepapers with strict branding guidelines.

  • n8n users looking for advanced examples of AI Agents, API polling, and document generation tools in an n8n workflow.

  • Anyone seeking ready-to-use n8n templates for complex document processing.

Overview

Generating long, structured documents that adhere to strict corporate branding can be time-consuming and prone to human error. This sophisticated n8n workflow solves this by combining the creative power of a major LLM (Claude) with the precise structural control of the Json2Doc API. The entire process is initiated by an n8n trigger, capturing the user's document request and necessary branding assets (like a logo URL). The n8n node sequence ensures that the AI generates a valid JSON configuration, including all specified styling (fonts, headers, footers, spacing). This provides a powerful, repeatable n8n templates solution for automating high-quality document output, making it one of the most useful n8n templates for content teams.

How it Works

This n8n workflow begins with an explicit n8n trigger and executes a robust, multi-step process:


  1. Input Trigger: The n8n workflow starts via the 'On form submission' n8n trigger, which collects the document Prompt and a Logo URL.

  2. Define Styleguide: The 'Add Company styleguide' n8n node injects a comprehensive JSON object defining all document defaults (font, sizes, corporate colors, and dynamic header/footer elements based on the input Logo URL).

  3. AI Agent Generation: The 'Generate Sections' Agent n8n node uses the input prompt, the defined styleguide, and the Anthropic Chat Model (Claude Sonnet 4.5) to communicate with the 'Json2Doc MCP' tool. The LLM is strictly instructed to generate a valid document configuration JSON and submit it to the API, returning only the Job ID.

  4. Wait and Poll: Upon receiving the Job ID, the n8n workflow enters a polling loop. The 'Wait for Document Generation' n8n node pauses for a few seconds.

  5. Check Status: An 'HTTP Request' fetches the status of the job from the Json2Doc API.

  6. Conditional Logic: The 'is Completed?' n8n node checks if the job status is 'COMPLETED'. If not, the n8n workflow loops back to the Wait node for another polling attempt.

  7. Final Download: Once completed, the final 'Download Docx' n8n node executes another HTTP request to retrieve the generated DOCX file using the outputFileId.

Installation Guide

To use this powerful n8n workflow, follow these setup steps:


  1. Import: Copy the provided JSON code and import it into your n8n instance as a new n8n workflow.

  2. Credentials: This n8n workflow requires credentials for:

Anthropic API: For the 'Anthropic Chat Model' n8n node.
Json2Doc Public (HTTP Header Auth): Used by the 'Json2Doc MCP' tool and the two 'HTTP Request' nodes for status checks and downloads. This credential must be configured as a Generic Credential type using 'Header Auth'. Set the Header Name to x-api-key and the Header Value to your Json2Doc API Key.

  1. Activate Trigger: Locate the 'On form submission' n8n trigger node. Save and activate the n8n workflow. You can then use the provided form URL to initiate the document generation.

Node Details


  • On form submission (n8n trigger): The starting point of this n8n workflow. It acts as a user interface, gathering the AI prompt and the desired logo URL.

  • Add Company styleguide (Set n8n node): Injects standardized branding rules (fonts, headers, footers, spacing) into the data flow, which the AI uses to structure the final JSON document configuration.

  • Anthropic Chat Model / Json2Doc MCP (n8n nodes): These components power the AI Agent. The Anthropic LLM analyzes the prompt and uses the Json2Doc tool to create the complex document structure based on the style guide.

  • Generate Sections (Agent n8n node): The core intelligence of the n8n workflow. It uses the LLM and tool to generate and submit the document creation job, returning the Job ID required for tracking.

  • Wait for Document Generation (Wait n8n node): Essential for asynchronous API processes. This n8n node introduces a delay before polling the job status, preventing rate limiting.

  • HTTP Request (n8n node): Used twice: first to poll the job status using the Job ID, and second (after successful completion) to download the final DOCX file stream.

  • is Completed? (If n8n node): Handles the flow control, creating a polling loop by checking if the job status has reached 'COMPLETED'.

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Nodes: 11 Nodes
Updated: December 26 2025
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