How-Resume-Parsing-Works-in-Tobu
How Resume Parsing Works in Tobu
Resume parsing is at the core of Tobu’s technology, designed to accurately convert resume documents into structured, searchable candidate profiles.
What Tobu’s Parser Does
Tobu's proprietary parsing engine processes resumes across a wide variety of formats:
- DOC, DOCX, PDF, RTF, TXT, and HTML
- PDF image resumes using OCR (Optical Character Recognition)
Each resume is parsed into a standardized structure with key fields, including:
- Full Name
- Email Address
- Phone Number
- Current Location
- Work Experience
- Education
- Skills
Intelligent Parsing with Context
Tobu doesn't just extract data — it uses contextual understanding to improve accuracy.
Examples
- If a resume mentions multiple cities, Tobu determines the most probable current location based on the latest job or context.
- When calculating work experience, Tobu identifies and measures professional roles only, ignoring educational periods or gaps. It can even adjust for old resumes to estimate up-to-date experience.
Proprietary and Evolving Engine
- The Tobu parser is 100% proprietary — not based on any third-party parsing tools.
- It’s been in development since 2014 and continues to evolve with training from millions of resume samples.
- Parsing accuracy is optimized globally, working across geographies such as the US, UK, Canada, Australia, India, UAE, and others.
Why It Matters
Accurate parsing allows recruiters to:
- Quickly search and filter candidates by structured fields
- Export clean data into Excel or ATS pipelines
- Avoid missing out on qualified candidates hidden in unstructured documents