Resume Parsing and HTML Conversion with OpenAI
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This workflow uses OpenAI's Chat Model to parse resume data into a structured JSON format. The 'Structured Output Parser' ensures data integrity, and subsequent 'Code' nodes convert specific sections into HTML for better presentation.
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About This Workflow
Overview
This n8n workflow is designed to extract structured information from resumes, parse it into a JSON format using OpenAI, and then convert specific sections of that JSON into HTML. This is particularly useful for automating the initial stages of candidate screening or for populating databases with detailed candidate profiles. The workflow leverages the power of OpenAI's language models to understand and extract complex data, followed by n8n's robust code nodes for flexible data transformation.
Problem Solved: Manual resume parsing is time-consuming and prone to errors. This workflow automates the extraction of key information like personal details, employment history, education, and projects, transforming it into a usable JSON format and then into presentable HTML.
Key Features
- Utilizes OpenAI Chat Model (GPT-4 Turbo preview) for advanced text understanding and extraction.
- Employs 'Structured Output Parser' to enforce a defined JSON schema for resume data.
- Includes an 'Auto-fixing Output Parser' for potential error correction in AI outputs.
- Converts structured data from employment history, education, projects, and volunteering into HTML snippets using custom JavaScript code.
- Integrates with Telegram for triggering the workflow (optional, based on node
telegramTrigger). - Includes conditional logic for authorization (based on node
Auth).
How To Use
- Configure Telegram Trigger (Optional): Set up the
Telegram triggernode to initiate the workflow when a new message is received. - Set up OpenAI Credentials: Ensure your OpenAI API credentials are correctly configured in n8n.
- Define JSON Schema: The
Structured Output Parsernode already has a comprehensive JSON schema defined. Adjust it if your resume data structure differs. - Input Resume Data: The workflow expects resume text as input. This could come from the Telegram message, an uploaded file, or another data source.
- Process with OpenAI: The
OpenAI Chat ModelandAuto-fixing Output Parsernodes will process the resume text and attempt to extract data according to the defined schema. - Convert to HTML: The
Codenodes (e.g., 'Convert education to HTML', 'Convert employment history to HTML') will transform specific arrays of JSON data into HTML strings. Map the output of theStructured Output Parserto the input of these code nodes. - Combine and Output: Chain the output of the HTML conversion nodes to create a comprehensive HTML representation of the resume, or further process it as needed.
Apps Used
Workflow JSON
{
"id": "f91b12b8-5c74-4dd1-8000-ab0dafa51c44",
"name": "Resume Parsing and HTML Conversion with OpenAI",
"nodes": 0,
"category": "PDF and Document Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: f91b12b8-5c74...
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