AI-Powered Resume Data Extraction and HTML Formatting
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This n8n workflow leverages AI to intelligently extract comprehensive resume details from unstructured text, then transforms key sections like employment history, education, and projects into cleanly formatted HTML snippets. Ideal for streamlining recruitment processes or personal career management.
About This Workflow
Unlock the power of AI to efficiently process resume information. This workflow starts with a Telegram trigger, allowing you to feed unstructured resume text directly into the system. OpenAI's advanced models meticulously parse and extract critical data, including personal information, detailed employment history, educational background, significant projects, and volunteering experiences, ensuring a highly structured JSON output. An auto-fixing parser enhances reliability, while dedicated code nodes then convert these structured data points into presentable HTML, ready for integration into databases, web pages, or reports.
Key Features
- AI-Powered Data Extraction: Automatically identify and extract resume details using OpenAI's
gpt-4-turbo-previewmodel. - Structured Output: Generate consistent, schema-validated JSON for personal info, employment, education, projects, and more.
- Automated HTML Formatting: Convert complex resume sections into cleanly formatted HTML, perfect for display.
- Reliable Parsing: Utilize an auto-fixing output parser to handle minor inconsistencies in AI-generated data.
- Telegram Integration: Easily initiate the workflow and input resume text directly via a Telegram chat.
How To Use
- Configure Telegram Trigger: Set up your Telegram bot token to enable receiving resume text as messages.
- Input Resume Text: Send the unstructured resume text (or a prompt for resume generation) to your Telegram bot to trigger the workflow.
- AI Processing: The workflow automatically uses OpenAI and LangChain nodes to intelligently parse the input and extract structured data based on the comprehensive internal JSON schema.
- HTML Conversion: Dedicated 'Code' nodes then take the structured output for employment history, education, projects, and volunteering, converting them into neatly formatted HTML snippets.
- Utilize Output: Connect the HTML outputs to subsequent nodes (e.g., an HTTP Request to an API, a Google Docs node, or a database) for further processing or display.
Apps Used
Workflow JSON
{
"id": "7268083f-1ba5-4f1b-8127-c82cff7517b2",
"name": "AI-Powered Resume Data Extraction and HTML Formatting",
"nodes": 8,
"category": "Operations",
"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: 7268083f-1ba5...
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