The resume processing bottleneck in high-volume hiring
High-volume recruiting teams receive hundreds of applications per open role. Manually reading, copying, and entering candidate data into an ATS is a full-time job. When the process takes two to three minutes per resume and a recruiter is processing 50 applications a day, that is two to three hours of non-evaluative work every single day.
Existing ATS parsers help but are notoriously brittle on creative CV formats, non-English documents, and anything scanned from paper. A candidate is passed over not because they lack skills, but because their skills section was in a two-column table that the parser could not read.
What DocPeel extracts — and how
DocPeel reads every CV section — header, professional summary, work history, education, skills, and certifications — and normalises each into a consistent structured output regardless of the visual layout.
Work experience is returned as an array of role objects, each with employer, title, start date, end date, and description. Skills are deduplicated and normalised (e.g. "JS", "JavaScript", and "Javascript" map to a single "JavaScript" entry). Education is similarly structured with degree type, institution, field, and graduation year.
The result can be imported directly into any database or ATS via the JSON output, or exported to CSV and Google Sheets for pipeline review.
Non-English and international CVs
International hiring requires parsing CVs in German, French, Spanish, Mandarin, Arabic, Portuguese, and dozens of other languages. DocPeel handles 60+ languages with no language-specific parser configuration.
Date formats, name ordering conventions, and education system terminology (e.g. "Abitur", "Grande École", "HSC") are understood natively and normalised to a standard output schema.
Privacy and data handling
Candidate data requires careful handling. DocPeel processes documents in isolated per-job sandboxes with no cross-tenant data sharing. Extracted data is never used for model training. Documents are deleted from processing infrastructure immediately after extraction unless you explicitly enable storage.
For teams operating under GDPR, CCPA, or similar frameworks, DocPeel's data retention and deletion APIs allow you to purge individual candidate records on request — meeting right-to-erasure requirements without manual intervention.