Screen Job Applications → Extract Skills → Rank Candidates
Automatically process incoming job applications, extract relevant skills and experience, then rank candidates based on job requirements.
Workflow Steps
Zapier
Trigger on new application emails
Set up a Gmail trigger in Zapier that activates when new job applications arrive in your hiring inbox. Configure it to detect emails with resume attachments (PDF or Word documents).
Zapier
Extract text from resume
Use Zapier's built-in PDF text extraction or integrate with a document parsing service to convert the resume attachment into plain text that can be processed by AI tools.
OpenAI GPT-4
Extract skills and experience
Process the resume text with GPT-4 to extract structured information: technical skills, years of experience, education, previous job titles, and key achievements. Format the output as structured data (JSON) for easy database entry.
OpenAI GPT-4
Score against job requirements
In a second GPT-4 step, compare the extracted candidate data against your predefined job requirements. Generate a compatibility score (1-10) and highlight specific matches and gaps. Include reasoning for the score.
Airtable
Add candidate to tracking database
Create a new record in your Airtable candidate database with the applicant's information, extracted skills, compatibility score, and AI-generated notes. Set up views to sort by score and flag high-potential candidates for immediate review.
Workflow Flow
Step 1
Zapier
Trigger on new application emails
Step 2
Zapier
Extract text from resume
Step 3
OpenAI GPT-4
Extract skills and experience
Step 4
OpenAI GPT-4
Score against job requirements
Step 5
Airtable
Add candidate to tracking database
Why This Works
Leverages AI to perform initial resume screening consistently and objectively, allowing human recruiters to focus on high-value candidate interactions rather than manual sorting.
Best For
HR teams and recruiters handling high volumes of applications
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