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Resume Information Extraction and PDF Generation Automation Workflow

This workflow facilitates the reception of user-uploaded resume PDF files from Telegram, automatically extracting and structuring resume information, including personal details, educational background, and work experience. By utilizing the OpenAI GPT-4 Turbo model for precise analysis, it generates an aesthetically pleasing HTML format, which is ultimately converted into a high-quality PDF document returned to the user. This process not only enhances the efficiency of resume processing but also optimizes the user experience, making it suitable for various scenarios such as human resources departments, recruitment platforms, and personal career development management.

Workflow Diagram
Resume Information Extraction and PDF Generation Automation Workflow Workflow diagram

Workflow Name

Resume Information Extraction and PDF Generation Automation Workflow

Key Features and Highlights

This workflow automates the process of receiving resume PDF files uploaded by users via Telegram, extracting structured information from the resumes—including personal details, education background, work experience, project involvement, volunteer activities, and technical skills—and formatting this data into an aesthetically pleasing HTML layout. The final output is converted into a PDF document and sent back to the user. A core highlight is the integration of the OpenAI GPT-4 Turbo model for precise resume content parsing, multiple format conversions and merging, and seamless interaction entirely through Telegram, significantly enhancing resume processing efficiency.

Core Problems Addressed

  • Automated parsing of resumes with complex and varied formats, reducing manual data entry and proofreading workload
  • Structured extraction of rich resume content across multiple dimensions such as projects, technologies, and volunteer experience
  • Output of parsed data in a standardized, visually appealing format for easy reading and archiving
  • Instant interaction via Telegram to improve user experience and convenience
  • Fully automated high-quality PDF generation without manual conversion, facilitating easy sharing and submission

Application Scenarios

  • Rapid batch processing of applicant resumes by HR departments
  • Automated resume parsing and archiving for recruitment platforms
  • Personal career management for quick generation of standardized resume documents
  • Automated resume collection and organization in technical communities or recruitment events
  • Any scenario requiring conversion of unstructured resume text into structured data and PDF generation

Main Workflow Steps

  1. Telegram Trigger: Monitor and capture resume PDF files sent by users through a Telegram bot.
  2. Authorization Check: Verify user identity to ensure only authorized users can trigger the workflow.
  3. File Download: Automatically download the resume PDF using the Telegram file ID.
  4. Text Extraction: Extract plain text content from the PDF file.
  5. Resume Parsing: Use OpenAI GPT-4 Turbo to parse the resume text and generate structured JSON data.
  6. Data Correction: Automatically fix any formatting or content errors that may occur during parsing.
  7. HTML Formatting: Convert personal information, education, work experience, projects, volunteer activities, and technical skills into separate HTML sections.
  8. Data Merging: Combine all formatted sections into a complete resume HTML page.
  9. File Encoding and Generation: Convert the HTML to base64 encoding and generate a standard index.html file.
  10. PDF Conversion: Use the Gotenberg service to convert the HTML file into a PDF document.
  11. Result Delivery: Send the generated PDF resume back to the user via Telegram.

Involved Systems and Services

  • Telegram API: For receiving user-uploaded files and sending back the generated PDF resumes.
  • OpenAI GPT-4 Turbo: A powerful language model used for high-quality resume text parsing and structured data generation.
  • Gotenberg: An open-source HTML-to-PDF conversion service used to produce the final PDF resume files.
  • n8n Built-in Nodes: Including file download, text extraction, code execution, data merging, and other nodes to build the complete automated workflow.

Target Users and Value

  • Recruiters and HR managers seeking to reduce resume data entry and formatting efforts, thereby improving hiring efficiency.
  • Recruitment platform developers looking to integrate automated resume processing capabilities.
  • Job seekers who want to quickly generate well-formatted, content-rich electronic resumes.
  • Technical community organizers for automated resume collection and management during events.
  • Automation enthusiasts and workflow designers interested in practical use cases combining AI and file processing.

This workflow is a sample project built on the n8n automation platform, demonstrating how to integrate AI, file processing, and instant messaging services to automatically extract and transform complex textual information. It greatly simplifies the resume handling process while enhancing user experience and business efficiency.