Resume Parser (CV to JSON)
收藏RapidAPI2026-06-09 更新2026-06-10 收录
下载链接:
https://rapidapi.com/dataflow-apis-dataflow-apis-default/api/resume-parser-cv-to-json
下载链接
链接失效反馈官方服务:
资源简介:
Convert any Resume/CV (PDF, DOCX, Text) into perfectly structured JSON instantly. Powered by advanced AI vision, this API handles multi-column layouts, scanned documents, and 50+ languages natively. It extracts 15+ rich data fields including contact info, work experience, education, skills, and certifications. Perfect for building ATS (Applicant Tracking Systems), HR-tech apps, and recruitment tools. No XML, no bloat—just clean, developer-friendly JSON.
创建时间:
2026-06-09
原始信息汇总
数据集概述:Resume Parser (CV to JSON)
基本信息
- 名称:Resume Parser (CV to JSON)
- 提供者:DataFlow APIs
- 类别:Jobs
- 定价方案:BASIC($0.00/月)、PRO($14.99/月)
核心功能
- 功能描述:将任何简历/CV(PDF、DOCX、文本格式)瞬间转换为结构化的JSON数据。
- 技术基础:基于Google Gemini AI的原生多模态视觉技术,能够处理多栏布局、扫描文档和50多种语言。
- 提取字段:超过15种丰富数据字段,包括:
- 联系信息(姓名、邮箱、电话、LinkedIn、地址)
- 工作经验(公司、职位、起止日期、地点、职责)
- 教育背景
- 技能
- 证书
- 适用场景:ATS(申请人跟踪系统)、HR技术/招聘工具、招聘平台。
接口端点
POST /api/v1/parse:上传.pdf或.docx文件(最大2MB)进行解析。POST /api/v1/parse/text:直接发送纯文本字符串进行解析。
输出示例
- 响应格式:JSON,包含
success、data(结构化信息)和metadata(处理时间、文件类型等)。 - 示例数据: json { "success": true, "data": { "full_name": "John Doe", "professional_title": "Senior Software Engineer", "contact": { "email": "john.doe@example.com", "phone": "+1 555-123-4567", "linkedin": "https://linkedin.com/in/johndoe", "location": "New York, USA" }, "skills": ["Python", "FastAPI", "React", "PostgreSQL"], "work_experience": [ { "company": "Tech Corp", "job_title": "Backend Engineer", "start_date": "2020-01", "end_date": "Present", "location": "Remote", "responsibilities": [ "Architected microservices handling 5M requests/day", "Reduced database latency by 40%" ] } ] }, "metadata": { "processing_time_ms": 3105, "file_type": "pdf" } }
性能特点
- 处理时间:2-5秒内完成深度分析。
- 语言支持:原生支持100多种语言。
- 服务等级:56% Service Level,平均延迟10772ms。



