Resume OCR API for Turning CV Files Into Structured Candidate Data

Resumes often arrive as PDFs, scanned documents, images, and files with completely different layouts. Extracting useful information from each resume manually can make candidate data management slow and inconsistent.

A Resume OCR API can help developers automate this part of the workflow by converting resume content into structured data. Instead of storing CVs only as documents, applications can extract details such as names, contact information, education, skills, work experience, job titles, companies, and certifications.

This can be useful for ATS platforms, HR software, job portals, candidate databases, and other applications that need searchable and organized resume information.

With an API-based approach, resume data extraction can be connected directly to an existing application, making it easier to build automated resume processing workflows.

AZAPI provides a Resume OCR API for extracting structured information from resumes and CVs across different document formats.

What would you automate first when processing resumes: data extraction, candidate search, or profile creation?