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= 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