Automated Resume Intelligent Extraction and PDF Generation Workflow

Workflow Name

Key Features and Highlights

This workflow receives user-uploaded resume PDF files via Telegram, automatically extracts key information from the resumes (including personal details, work experience, education background, project experience, volunteer activities, and technical skills), utilizes the OpenAI GPT-4 Turbo model for structured data parsing, formats the extracted data into HTML, and finally generates a polished PDF resume file that is automatically sent back to the user.

Integrates advanced AI language models to achieve high-accuracy structured parsing of resume content
Multi-dimensional data classification covering personal information, education, work experience, projects, and volunteer activities
Automated formatting output with seamless HTML-to-PDF conversion
Fully automated interaction through Telegram Bot for convenience and speed
Supports customizable JSON Schema for flexible adjustment of parsing content and format

Core Problems Addressed

Low efficiency and error-prone manual extraction and organization of traditional resume information
Lack of standardized resume formats complicates automated processing
Need for rapid generation of uniformly formatted PDF resumes for archiving and sharing
Desire for automated resume parsing to minimize manual intervention

Application Scenarios

Automated bulk extraction of candidate resume information by HR departments
Automated resume format conversion and archiving on recruitment platforms
Automatic updating of personal career profiles and generation of standardized resumes
Efficient management of student records for educational and training institutions
Self-service resume parsing and optimization tools

Main Workflow Steps

Telegram Trigger: User sends a resume PDF file via Telegram Bot to trigger the workflow
Permission Verification: Authenticate user identity and filter invalid requests
File Download: Download the PDF resume from Telegram using the file ID
PDF Text Extraction: Extract textual content from the resume PDF
AI Parsing: Invoke OpenAI GPT-4 Turbo model to parse the text into a unified JSON structured data format
Data Formatting: Convert personal information, education background, work experience, project experience, volunteer activities, and technical skills into HTML format separately
Data Merging: Combine the various HTML sections into a complete resume page
HTML to PDF Conversion: Use Gotenberg service to convert the HTML file into a PDF document
Send File: Send the generated PDF resume back to the Telegram user

Involved Systems or Services

Telegram API: Receive user messages and files, send processing results
OpenAI GPT-4 Turbo: Intelligent parsing of resume text to generate structured data
Gotenberg: Document generation service for HTML-to-PDF conversion
n8n Platform: Workflow orchestration and node management

Target Users and Value

Recruiters and HR Teams: Enhance resume processing efficiency and reduce manual data entry
Recruitment Platform Developers: Quickly integrate automated resume parsing capabilities
Job Seekers: Rapidly generate professionally formatted, standardized PDF resumes
Educational and Training Institutions: Automate management of student resumes and records
Automation Enthusiasts and Developers: Learn and reference a best-practice case combining AI and workflow automation

This workflow integrates cutting-edge AI technologies and automation tools to provide a one-stop solution for resume information extraction and output, significantly improving the automation level and efficiency of resume processing, thereby supporting the digital transformation of recruitment and career development.