Extract Resume PDF
Automate resume data extraction and generate polished PDF reports instantly.
Trusted by
Based on documented academic admissions case studies using NLP-based CV processing (e.g., at Hassan II University of Casablanca) and education sector AI automation research.
Success Story
Hassan II University of Casablanca processed 2,325 CVs using an NLP-based system and achieved average processing time of 3.84 seconds per CV (example of similar technology, not this exact agent)
Integrates with
Problem
Career services and admissions teams often receive unstructured resumes or CVs, which require manual review, extraction of key data, formatting into a standard layout, and generating a document for records or sharing. These steps are time-consuming, error-prone and inconsistent across reviewers.
Solution
This agent automates the entire pipeline: it uses AI to parse resume content (extracting education, skills, work history, etc.), populates a consistent HTML template, and invokes Gotenberg to output a professionally styled PDF. Teams can scale review workflows, ensure uniform output, reduce manual formatting, and focus on high-value decisions instead of document preparation.
Result
Users can expect significantly reduced time per document, improved consistency of output, higher throughput of resume processing and less manual formatting effort.
Use Cases
Many educational institutions, campus career centres and training providers receive large volumes of resumes, CVs or student profiles, then struggle to extract relevant structured information (education, skills, experience), convert into a standard format, and generate consistent PDF outputs for review or archival. This agent automates the end-to-end process: resumes or CVs are uploaded or ingested, the AI model extracts structured fields, the data is rendered into a templated HTML layout, and the Gotenberg service converts that into a professional PDF report. The result: consistent, efficient document generation, less manual formatting work, and streamlined review workflows for HR or admissions teams.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Define Resume Field Schema & PDF Template
0.5 daySpecify which resume fields to extract (education, skills, experience) and design the HTML-to-PDF template for consistent output
Integrate Document Upload & Trigger Workflow
0.5 daySet up endpoints or upload methods for resumes (PDF/DOCX) and connect to workflow automation triggers
Develop AI Prompt Logic & Test Parsing
1 dayCreate and refine AI prompts for accurate extraction of structured data from sample resumes; validate results
Configure HTML → Gotenberg PDF Pipeline
0.5 dayConnect extracted data to HTML template and generate PDF via Gotenberg; test output formatting and quality
Bulk Test & Finalize Deployment
0.5 dayProcess real resumes in bulk, refine extraction, adjust layout, ensure PDF consistency, and complete deployment
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