ExtractAnyExtractAny

Resume Parser

AI‑powered resume parser for lightning‑fast extraction of candidate details, skills, education, and work history. Turn PDFs, Word docs, or scanned CVs into structured data and supercharge your recruiting workflow.

File Upload

Click or drag files here to upload
fake_en_resume.pdf

Supports PDF / Word / Images, up to 10 files

Set Fields

Common fields have been filled for you. To customize, click 'Show more' to edit.

Field Name
Type
Description
Actions
sourcecandidate_profilelanguage_proficienciesprofessional_experienceacademic_backgroundcore_skillscertifications
fake_en_resume.pdf
candidate_profile (4)
full_name:
Jordan Lee
email_address:
[email protected]
phone_number:
0799 555 678
current_location:
Cluj‑Napoca, Romania
English, Romanian, German
professional_experience (2)
work_stage:
•
job_title:
Full‑Stack Engineer
start:
2023-02
end:
Present
employer:
InnovateX Solutions
workplace_location:
Cluj‑Napoca, Romania
responsibilities:
Built and maintained SaaS web applications using React, Go, and PostgreSQL; optimized CI/CD pipelines and ensured 99.9% uptime.
•
job_title:
Software Intern
start:
2021-06
end:
2022-12
employer:
SoftWorks Labs
workplace_location:
Bucharest, Romania
responsibilities:
Assisted in refactoring legacy codebases, wrote unit tests, and contributed to feature development for client projects.
academic_background (1)
academic_stage:
•
degree_title:
Bachelor of Engineering in Computer Science
start:
2017
end:
2021
institution:
Technical University of Cluj‑Napoca
campus_location:
Cluj‑Napoca, Romania
details:
Focused on distributed systems, algorithms, and software architecture; graduated magna cum laude.
TypeScript, Go, React, PostgreSQL, Docker
Docker Certified Associate, Scrum Master I
Frequently Asked Questions

Resume Parser – Common Questions & Answers

Need more info about parsing resumes? Browse the answers below or reach out to us anytime!

1

What is the Resume Parser?

The Resume Parser automatically detects and extracts key resume fields such as candidate name, contact information, education, work experience, skills, certifications, and language proficiency.

2

Which file formats does it support?

Upload PDF, Word (DOCX), TXT, JPG, PNG, and more. Our advanced OCR handles both digital and scanned resumes seamlessly.

3

Can I process multiple resumes at once?

Absolutely! Batch‑upload hundreds of resumes and receive structured data for each file in parallel—ideal for recruiters, HR tech platforms, or ATS integrations.

4

Which resume fields are extracted by default?

By default we capture candidate name, email, phone, location, work history, education (degree, institution, year), skills, languages, and certifications. Custom schemas let you add or remove fields as required.

5

How accurate is the parsing?

Combining state‑of‑the‑art OCR with large language models yields high accuracy on most modern resume templates. You can further fine‑tune the model or adjust field rules for niche formats.

6

Can I export the parsed data?

Yes! Export in JSON or CSV—or push directly to your ATS, HRIS, or CRM through our API.