ExtractFromFile Automate

ExtractFromFile Automate streamlines the CV screening process for recruitment agencies and HR professionals by automatically downloading resumes, extracting relevant data, and analyzing it with OpenAI. This workflow enhances efficiency by providing a suitability score, summarizing candidate strengths and weaknesses, and storing results in Supabase for easy access. Ideal for organizations managing high volumes of applications, it simplifies decision-making and improves hiring outcomes.

7/8/2025
11 nodes
Medium
manualmediumextractfromfilesticky noteadvancedfilesstorageapiintegration
Categories:
Manual TriggeredMedium Workflow
Integrations:
ExtractFromFileSticky Note

Target Audience

Target Audience


- Recruitment Agencies: Streamline the CV screening process for multiple candidates.
- HR Professionals: Quickly evaluate resumes to find suitable candidates for job openings.
- Hiring Managers: Automate the initial assessment of CVs to save time and focus on interviews.
- Tech Startups: Leverage AI to enhance recruitment efficiency in a competitive job market.

Problem Solved

Problem Solved


This workflow addresses the challenges of manual CV screening by automating the extraction of relevant data from resumes and utilizing AI for analysis. It provides a systematic approach to evaluate candidates against job requirements, reducing the time spent on initial screenings and increasing the accuracy of candidate assessments.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow starts when the user clicks ‘Test workflow’.
2. Set Variables: Define the file URL for the CV and the job description for the position.
3. Download File: Fetch the CV from the specified URL to make it available for processing.
4. Extract Document PDF: Extract text data from the downloaded PDF CV using the ExtractFromFile node.
5. Set Variables for Analysis: Prepare the extracted data and job description for analysis by defining the prompt and JSON schema for the OpenAI API call.
6. OpenAI - Analyze CV: Send the extracted data and job description to OpenAI’s API for evaluation, receiving a structured response that includes a matching percentage, summary, and reasons for suitability.
7. Parse JSON: Convert the response from OpenAI into a usable JSON format for further processing or storage.

Customization Guide

Customization Guide


- Change File URL: Update the file_url variable in the Set Variables node to point to a different CV.
- Modify Job Description: Alter the job_description variable to evaluate candidates against new job requirements.
- Adjust OpenAI Prompt: Edit the prompt variable to refine how OpenAI assesses the CV based on specific criteria or focus areas.
- Update JSON Schema: Customize the json_schema to reflect any changes in the evaluation criteria or to add additional output fields as needed.