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Stop Reading Resumes. Start Using Them.

Resume Parsing That Converts Documents Into Structured Candidate Data

REST API Workspace

Automatically extract structured candidate information from resumes including skills, experience, education, and projects. Turn unstructured documents into actionable data.

  • From PDF to structured insights in seconds.

Resumes Are Hard to Process at Scale

Unstructured and inconsistent formats

Unstructured and inconsistent formats

Every resume looks different and is hard to standardize

Time-consuming manual review

Time-consuming manual review

Recruiters spend hours scanning resumes

Important details get missed

Important details get missed

Skills and experience are not always easy to identify

Difficult to compare candidates

Difficult to compare candidates

Lack of structured data makes evaluation inefficient

CoderScout Automatically Extracts Structured Candidate Data

Parse resumes instantly

  • Convert resumes into structured formats automatically
Parse resumes instantly

Extract key candidate information

  • Capture skills, experience, education, and projects
Extract key candidate information

Standardize candidate profiles

  • Create consistent data across all applicants
Standardize candidate profiles

Enable faster screening and decisions

  • Make resume data actionable for hiring workflows
Enable faster screening and decisions

Why Teams Use Resume Parsing

Save time on manual resume review  

Standardize candidate information  

Improve screening efficiency  

Enable data-driven hiring decisions  

Everything You Need for Resume Data Extraction

Automated Resume Parsing

Convert resumes into structured candidate profiles instantly

Skill Extraction

Identify key technical and functional skills

Experience Mapping

Capture roles, companies, and duration of experience

Education Details Extraction

Extract academic background and qualifications

Project Identification

Highlight relevant projects and contributions

Structured Candidate Profiles

Create consistent and comparable candidate data

From Resume Upload to Structured Profile

Upload Resume

  • Upload candidate resumes in standard formats.
  • Accept multiple file types.
  • Ensure smooth data intake.
  • Prepare for parsing.
Upload Resume

Parse Resume Automatically

  • Extract data from the document.
  • Identify key sections and information.
  • Convert unstructured text into structured fields.
  • Prepare candidate profile.
Parse Resume Automatically

Extract Key Information

  • Capture skills, experience, education, and projects.
  • Organize data into structured format.
  • Ensure completeness of extracted information.
  • Standardize candidate details.
Extract Key Information

Create Candidate Profile

  • Build a structured candidate profile.
  • Present data in a consistent layout.
  • Enable easy review.
  • Prepare for evaluation.
Create Candidate Profile

Review and Validate

  • Verify extracted information.
  • Make quick adjustments if needed.
  • Ensure accuracy of candidate data.
  • Finalize profile.
Review and Validate

Use for Screening

  • Leverage structured data for screening decisions.
  • Compare candidates efficiently.
  • Improve hiring speed.
  • Move candidates forward confidently.
Use for Screening

Built for Efficient Applicant Screening

Recruitment Teams

Reduce manual resume review effort

High-Volume Hiring

Process large numbers of resumes quickly

Technical Hiring

Identify relevant skills and experience

Campus Hiring

Standardize candidate evaluation

Frequently Asked Questions

It is the process of extracting structured data from resumes automatically

Skills, experience, education, and projects

Yes, resumes in various formats can be processed

Yes, extracted information is structured consistently

Yes, it significantly reduces the need for manual resume review

Turn Resumes Into Actionable Data

Streamline your screening process with structured candidate insights.

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