For recruiters & hr teams

Resume parsing for recruiters and HR teams

When 80 applicants drop a CV for a role, the first hour is spent just reading them. ExtractFox parses every CV — including infographic-style designer resumes and two-column layouts — into the same structured shape: name, contact, headline, work history, education, and skills. Sort, filter, and shortlist in Excel before you read a single PDF.

Drop a PDF or image here, or click to browse
Max 20 MB per file · PDF, PNG, JPG, WEBP, HEIC
Pro: drop up to 25 files at once for bulk extraction
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Extracting invoice

Common workflows

Bulk CV intake on a job posting

Drop a folder of 80 PDFs, get one Excel sheet with one row per candidate. Sort by total years experience, filter by skill keyword, shortlist before reading.

Building a sourcing spreadsheet from LinkedIn exports

Have candidates export their LinkedIn profile to PDF (Profile → More → Save to PDF), drop the batch in, and get the same structured candidate data without any LinkedIn API access.

Onboarding paperwork: passports, IDs, signed offers

Process new-hire IDs (passport, driver's license) and signed offer letters in bulk during onboarding. Each document type has a focused extractor that hits the fields HR systems need.

Skills inventory across an existing employee base

Run your current team's CVs through the resume extractor (with consent) and get a skills matrix you can use for project staffing, gap analysis, or training planning.

Time savings

Reading and tagging 80 CVs by hand takes a recruiter ~3 hours. Bulk-extracting plus a 20-minute spreadsheet sort cuts that to ~30 minutes — and the data persists in a sortable form afterward, which manual reading doesn't.

Frequently asked questions

Does the resume parser handle infographic and designer CVs?+

Yes. The multimodal model reads visual layout, not just text flow, so two-column designs and graphical CVs parse as cleanly as plain ones.

Can I push extracted candidates into Greenhouse, Lever, or Workable?+

Yes. The JSON output is stable and easy to map into any major ATS. The Pro REST API lets you wire ExtractFox as a step in your candidate-intake pipeline.

What about non-English CVs?+

Multi-language CVs work. Names, companies, and dates extract reliably; long-form descriptions come back in the original language.

How do I handle GDPR / candidate data privacy?+

Files are processed and not stored long-term by ExtractFox. For an EU-only data path or full self-hosted deployment, contact us about an enterprise plan.

Can I extract data from a LinkedIn profile URL directly?+

Direct URL fetching is on the roadmap. Today, candidates export their profile to PDF (one click in LinkedIn) and you upload that.

Compared to alternatives

Other use cases