Upload any resume in PDF, Word, or Text. Extract skills, career timeline, and employers in seconds — then instantly find relevant HR decision-makers and hiring leads.
Client-side text extraction • Zero server file storage • Instant HR query routing
Supports PDF, Word (.docx), and Plain Text (.txt) up to 10MB.
Client-Side Privacy Guarantee
Your resume file is processed entirely inside your web browser via client-side WebAssembly and JavaScript text extractors. The binary file is never uploaded, saved, or persisted on our servers. Only extracted plaintext is passed to AI parsing providers for structured field mapping.
Traditional resume parsing services require uploading confidential applicant PDFs directly to third-party cloud buckets. HR Mapper flips this paradigm: our engine runs Mozilla PDF.js and Mammoth inside your browser runtime. Text extraction occurs locally in milliseconds with 0KB of binary file transfer.
PDF text items and Word document streams are parsed natively in JavaScript into clean plaintext.
High-reasoning AI parses current titles, employers, skill clouds, certifications, and years of experience into structured JSON.
Route directly into HR Mapper's Boolean query packs, People Finder, and corporate email permutation generator.
We support Adobe PDF (.pdf), Microsoft Word (.docx), and Plain Text (.txt) up to 10MB in size. For legacy .doc files, please re-save as .docx or export to PDF before uploading.
Our parser focuses on searchable digital PDFs created via Google Docs, Word, Canva, or LaTeX. If you upload a scanned image PDF, the system will detect the lack of text and advise you to upload a text-based document.
Yes! Every extracted field — including candidate name, current company, skills, and summary — is directly editable inline. You can add or remove skills, correct employer names, and update titles before launching HR searches.
