Парсинг резюме из PDF через компьютерное зрение

★ 6.3 · n8n

This n8n workflow extracts structured data from PDF resumes using a vision model. Use it when HR teams manually copy contact details and work experience from hundreds of PDFs into a spreadsheet, when standard text parsing fails on multi-column layouts or scanned documents, or when you need to build a candidate database without manual data entry. The workflow (vision-cv-parser) processes each PDF by passing it through a vision AI node, making it robust to complex formatting and scanned files. Import the verified JSON directly into any n8n instance and configure your vision API credentials (likely OpenAI GPT-4o vision or equivalent). Unlike text-only PDF extraction, the vision approach handles columnar layouts and mixed content. Best for recruiters and ATS integrators. Not suitable for low-resource environments due to per-call vision API costs, or for languages unsupported by the chosen vision model.