FAQ
Resume Parsing FAQ
Everything you need to know about resume parsing
Resume parsing is the process of extracting structured data from unstructured resume documents. This FAQ covers common questions about how parsing works, accuracy expectations, and how to get the best results.
How It WorksAccuracyFile FormatsBest Practices
Questions & Answers
Resume parsing is the automated extraction of structured information (like contact details, skills, work history) from resume documents (PDF, DOCX, etc.) into a machine-readable format like JSON.
Accuracy varies by resume quality and format. Standard fields (name, email, phone) typically parse more reliably than complex fields (skills, job titles). Test with your own resumes to evaluate.
We support PDF files up to 1MB.
Our parser uses AI to understand resume structure regardless of formatting. Chronological, functional, and combination formats are all handled correctly.
Most creative designs are handled well, though highly artistic or infographic-style resumes may have reduced accuracy. Standard professional formats yield the best results.
Processing times vary by document complexity: approximately 8s for 1 page, 15s for 2-3 pages, 25s for 4-5 pages.
The API returns: firstName, lastName, emailAddress, phoneNumber, location, linkedInLink, otherLinks, workExperiences, educations, fluentLanguages, and languages.
No. Parsing extracts data from resumes. Screening uses that data to evaluate candidates against job requirements. Parsing is a prerequisite for automated screening.
Related Topics
FAQ
API Usage FAQ
Frequently asked questions about using the API. Learn about authentication, rate limits, error handling, and best practices.
FAQ
Data Privacy FAQ
Frequently asked questions about data privacy when using Resume Parser.
Features
Skill Extraction API
Extract technical and soft skills from resumes. Normalized skill taxonomy for consistent matching.
Features
PDF Resume Parser
Parse PDF resumes including scanned documents, multi-column layouts, and complex formatting.