Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.

Tags

Resume ScreeningAutomated Hiring

Workflow Name

Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)

Key Features and Highlights

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text content from resume PDFs, and leveraging an intelligent AI agent powered by the OpenAI GPT-4o-mini model to analyze and score resumes. It automatically extracts candidates’ names, email addresses, and LinkedIn information, then compiles and appends all results into a Google Sheets spreadsheet. The entire process streamlines resume screening, significantly enhancing recruitment efficiency and simplifying data management.

Core Problems Addressed

  • Manual downloading and opening of resume attachments is cumbersome and prone to missing emails
  • Resume information extraction and scoring are subjective and time-consuming
  • Data is scattered, making unified management and analysis difficult
  • Recruitment teams struggle to quickly access key candidate information and screening results

Application Scenarios

  • Automated screening of large volumes of resumes by recruitment teams to quickly identify top candidates
  • HR departments optimizing resume processing workflows to save time and reduce labor costs
  • Any scenario requiring extraction of structured information from email attachments combined with intelligent evaluation

Main Workflow Steps

  1. Trigger Node: Monitor Gmail inbox for new unread emails with attachments
  2. Resume Text Extraction: Automatically download PDF attachments and extract text content
  3. Intelligent Resume Analysis: Invoke an AI agent based on GPT-4o-mini to analyze resume content, extract name, email, LinkedIn link, and provide a score based on resume details
  4. Structured Output Parsing: Convert AI output into structured data format
  5. Data Storage: Append candidate information and scoring results into Google Sheets for easy review and management

Involved Systems or Services

  • Gmail (email triggering and attachment downloading)
  • PDF text extraction node
  • OpenAI Chat model (GPT-4o-mini)
  • LangChain AI agent and structured output parsing node
  • Google Sheets (data storage and management)

Target Users and Value

  • Recruiters and HR teams looking to improve resume screening efficiency and reduce repetitive tasks
  • Organizations pursuing digital transformation of human resources
  • Business scenarios requiring automated processing of email attachments and extraction of structured information
  • Organizations aiming to enhance recruitment quality through AI-assisted decision-making

By seamlessly integrating email, AI-powered intelligent analysis, and cloud data storage, this workflow delivers a one-stop automated resume screening solution that helps enterprises efficiently and accurately manage talent resources.

Recommend Templates

Manual Humanticai Create Webhook

This workflow primarily enables users to create, update, and retrieve profiles on the Humantic AI platform. Users can automate the extraction of information from LinkedIn, upload resumes, and generate personalized recruitment profiles through a simple manual trigger, significantly improving the efficiency and accuracy of profile management. This process is particularly suitable for recruitment teams, human resources departments, and individual career developers, addressing the challenge of updating user information in talent recruitment and management, and ensuring that profile information remains current and aligned with recruitment needs.

User ProfileHumantic AI

Automated Resume Intelligent Extraction and PDF Generation Workflow

This workflow receives user-uploaded resume PDFs via Telegram, automatically extracts key information, and utilizes AI models for structured parsing to generate uniformly formatted PDF resumes. It supports efficient multi-dimensional data classification and display, automatically formats output, reduces manual intervention, and improves resume processing efficiency. It is suitable for human resources, recruitment platforms, job seekers, and educational institutions, enabling rapid generation and management of resumes.

Resume ExtractionPDF Generation

AI CV Screening Workflow

This workflow automates the resume screening and evaluation process by utilizing AI models to deeply analyze candidate profiles and generate matching scores. The system can automatically send email notifications to candidates and HR, while also storing candidate information and scores in a database to ensure centralized management of information. This process significantly reduces the manual workload for HR, enhances the objectivity of evaluations, and facilitates real-time communication between candidates and HR, optimizing recruitment decisions and efficiency.

Smart Resume ScreeningRecruitment Automation

Intelligent Recruitment Candidate Screening Automation Workflow

This intelligent recruitment candidate screening automation workflow utilizes ERPNext and advanced AI technology to achieve full-process management of resume parsing, job matching analysis, and hiring notifications. Through quantitative scoring and detailed assessments, this workflow significantly enhances the efficiency of resume screening and reduces the subjectivity of manual reviews. Additionally, it supports multiple file formats and automatically notifies candidates of hiring results via email and WhatsApp, optimizing the recruitment process and improving the efficiency of human resource management in the enterprise.

Smart RecruitingResume Screening

CV Screening and Matching Analysis Workflow (CV Screening with OpenAI)

This workflow is designed to accelerate the recruitment process by automating the handling of resumes. It downloads resumes from a specified link, extracts the text, and uses advanced AI models to intelligently match and score candidates against job descriptions. The workflow not only provides a percentage of the match but also offers a summary of the candidate's strengths and weaknesses along with hiring recommendations, helping recruiters quickly identify suitable candidates and enhance recruitment efficiency and decision-making accuracy. It is suitable for recruitment agencies and corporate HR teams, significantly reducing the time and cost of manual screening.

Resume ScreeningSmart Matching

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.

Resume ParsingPDF Generation

AI Resume Parsing and Client Usage Billing Tracking

This workflow provides AI-driven resume parsing services, capable of automatically converting uploaded PDF resumes into structured JSON format, thereby enhancing data processing efficiency. At the same time, the system accurately tracks each client's token usage and associated costs in the AI service, recording this information in Google Sheets for transparent billing. It automatically summarizes client data each month and generates electronic invoices, greatly simplifying the financial management process, making it suitable for various scenarios such as human resources, recruitment, and finance teams.

Resume ParsingClient Billing

Automated Work Attendance with Location Triggers

This workflow utilizes iPhone shortcuts and Webhooks to achieve location-based automated attendance management. Users can easily clock in and out using their phones, while the system automatically detects and creates Google Sheets documents to record check-in and check-out times, eliminating issues of missed clock-ins and cumbersome data entry. It is suitable for remote work, freelancers, and on-site staff, enhancing attendance accuracy and management efficiency, simplifying the attendance process, and providing a paperless smart office experience.

Auto AttendanceLocation Trigger