Retrieve information from a resume and generate a PDF using Gotenberg.
This workflow utilizes AI to extract organized information from resumes, transforms it into HTML format, and subsequently creates a properly formatted PDF with Gotenberg.
How it works
This workflow is designed to extract structured information from resumes and convert it into a well-formatted PDF using Gotenberg. The process begins with the input of a resume, which is typically in a document format. The workflow is initiated by a trigger node that listens for new resume submissions. Once a resume is received, the workflow proceeds through several key nodes:
1. Read Binary File Node:
This node is responsible for reading the uploaded resume file. It captures the binary data of the document, which is essential for further processing.
2. Function Node:
After reading the file, the workflow utilizes a Function node to process the binary data. This node extracts relevant information from the resume, such as personal details, work experience, and education. The extracted data is then organized into a structured format, typically JSON.
3. HTML Node:
The structured data is then passed to an HTML node, where it is transformed into HTML format. This step is crucial as it prepares the content for PDF generation, ensuring that the layout and styling are appropriate for the final document.
4. Gotenberg Node:
The HTML output is sent to the Gotenberg node, which is responsible for converting the HTML content into a PDF. Gotenberg is a powerful tool that handles the rendering of the HTML and generates a PDF document that retains the formatting and design specified in the HTML.
5. Send Email Node (optional):
Finally, the generated PDF can be sent via email using a Send Email node. This step allows for easy distribution of the resume in PDF format to the intended recipients.
Throughout this workflow, data flows seamlessly from one node to the next, ensuring that the information is accurately processed and transformed at each stage.
Key Features
- AI-Powered Data Extraction:
The workflow leverages AI techniques to intelligently extract relevant information from resumes, ensuring that key details are captured accurately.
- HTML to PDF Conversion:
By converting structured data into HTML before generating the PDF, the workflow allows for customizable layouts and styles, resulting in professional-looking documents.
- Seamless Integration with Gotenberg:
The use of Gotenberg for PDF generation ensures high-quality output and supports various HTML features, making it a robust solution for document creation.
- Email Distribution:
The optional email functionality allows users to easily share the generated PDF resumes, streamlining the application process for job seekers.
- Modular Design:
The workflow's modular structure allows for easy modifications and enhancements, enabling users to adapt it to their specific needs.
Tools Integration
The workflow integrates the following tools and services:
- n8n:
The primary automation platform used to orchestrate the workflow.
- Gotenberg:
A document conversion tool that transforms HTML content into PDF format.
- Function Node:
A built-in n8n node that allows for custom JavaScript code execution to manipulate data.
- Read Binary File Node:
A node used to read the binary data of uploaded files.
- HTML Node:
A node that formats data into HTML for PDF generation.
- Send Email Node:
An optional node for sending emails with the generated PDF attached.
API Keys Required
No API keys or authentication credentials are required for this workflow to function. All nodes utilized are built-in n8n nodes or integrate with Gotenberg without the need for additional authentication.
