Structured Resume Data in Node.js: From PDF Upload to Screenable Profiles

说明与用途

Node.js 流程将非结构化 PDF 简历转换为结构化档案，标准化字段、评估候选人并生成供进一步审查的候选名单。

问题

Raw PDF resumes lack consistent fields, hindering reliable candidate screening.

结果

The pipeline transforms unstructured PDF resumes into structured, screenable profiles, enabling consistent candidate scoring and efficient shortlisting.

工作流

• Accept the PDF upload and store the original securely.
• Extract text from the PDF and map it into a PostgreSQL schema.
• Normalize skills and job titles against a controlled vocabulary.
• Score the candidate against the open role rubric.
• Hand a shortlist to humans, optionally after an AI phone or video screen.

证据

Raw PDF resumes are terrible inputs for consistent screening.

来源

On a Next.js + Node.js stack (no Python required), a solid flow looks like:

来源

React, Next.js, Node.js, PostgreSQL, OpenAI, Redis, and Gemini.

来源