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Convert PDF, DOC, and images to Markdown using Datalab.to API

JosephJoseph
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2/3/2026
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This n8n workflow converts various file formats (.pdf, .doc, .png, .jpg, .webp) to clean markdown text using the datalab.to API. Perfect for AI agents, LLM processing, and RAG (Retrieval Augmented Generation) data preparation for vector databases.

Workflow Description

Input

  • Trigger Node: Form trigger or webhook to accept file uploads
  • Supported Formats: PDF documents, Word documents (.doc/.docx), and images (PNG, JPG, WEBP)

Processing Steps

  1. File Validation: Check file type and size constraints
  2. HTTP Request Node:
    • Method: POST to https://api.datalab.to/v1/marker
    • Headers: X-API-Key with your datalab.to API key
    • Body: Multipart form data with the file
  3. Response Processing: Extract the converted markdown text
  4. Output Formatting: Clean and structure the markdown for downstream use

Output

  • Clean, structured markdown text ready for:
    • LLM prompt injection
    • Vector database ingestion
    • AI agent knowledge base processing
    • Document analysis workflows

Setup Instructions

  1. Get API Access: Sign up at datalab.to to obtain your API key
  2. Configure Credentials:
    • Create a new credential in n8n
    • Add Generic Header: X-API-Key with your API key as the value
  3. Import Workflow: Ready to process files immediately

Use Cases

  • AI Workflows: Convert documents for LLM analysis and processing
  • RAG Systems: Prepare clean text for vector database ingestion
  • Content Management: Batch convert files to searchable markdown format
  • Document Processing: Extract text from mixed file types in automated pipelines

The workflow handles the complexity of different file formats while delivering consistent, AI-ready markdown output for your automation needs.

n8n Form to DataLabTo API Markdown Conversion Workflow

This n8n workflow automates the process of converting various document and image types into Markdown format using the DataLabTo API, triggered by a simple n8n form submission. It allows users to upload files and receive a Markdown representation, with a built-in delay for processing.

What it does

This workflow simplifies the conversion of documents and images to Markdown through these steps:

  1. Listens for Form Submissions: The workflow is activated when a user submits a form created by the "n8n Form Trigger" node.
  2. Prepares Data: It takes the submitted form data and structures it for the API request using the "Edit Fields (Set)" node.
  3. Sends Request to DataLabTo API: An "HTTP Request" node sends the prepared data to the DataLabTo API for conversion.
  4. Waits for Processing: A "Wait" node introduces a delay (currently set to 10 seconds) to allow the DataLabTo API to process the conversion.
  5. Handles API Response: After the wait, the workflow is designed to process the response from the DataLabTo API (though the current JSON does not show explicit handling of the API response after the wait, it's implied for a complete conversion process).
  6. Conditional Logic: A "Switch" node is present, suggesting potential branching logic based on the API response or other conditions, although its specific conditions are not defined in the provided JSON.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • DataLabTo API Key: An API key for the DataLabTo service (or similar document/image to Markdown conversion API). This would be configured within the "HTTP Request" node's credentials.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure the n8n Form Trigger Node:
    • Activate the form trigger by clicking "Activate" on the node.
    • Share the generated URL with users who will submit files for conversion.
  3. Configure the HTTP Request Node:
    • Update the URL to point to the correct DataLabTo API endpoint for document/image to Markdown conversion.
    • Configure the authentication method (e.g., API Key in headers or query parameters) using your DataLabTo API Key.
    • Ensure the request body correctly sends the file data from the n8n Form Trigger node to the DataLabTo API.
  4. Adjust the Wait Node:
    • Modify the "Wait" duration if a different processing time is required for the DataLabTo API.
  5. Expand the Switch Node (Optional):
    • If you need to handle different outcomes from the DataLabTo API (e.g., success, failure, specific content types), configure the "Switch" node with appropriate conditions and subsequent actions.
  6. Add Post-Conversion Logic (Recommended):
    • After the "Wait" node and potentially the "Switch" node, add further nodes to handle the converted Markdown output. This could include:
      • Saving the Markdown to a file storage service (e.g., Google Drive, S3).
      • Sending the Markdown via email or a messaging service (e.g., Slack, Telegram).
      • Storing the Markdown in a database.

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