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How to Extract Resumes into Oracle Recruiting Module: A Step-by-Step Guide

Automate resume processing and boost recruiter efficiency by integrating RChilli’s AI-powered parser with Oracle Recruiting.

By Lovepreet SinghPublished 9 months ago 3 min read

In today’s competitive hiring landscape, recruiters must process hundreds of resumes daily. While Oracle Recruiting offers robust applicant tracking capabilities, recruiters often face challenges with resume data entry—manual uploads, inconsistent formatting, and missing candidate details. That’s where resume parsing comes into play.

This post walks you through how to seamlessly extract resumes into Oracle Recruiting using automation, and how RChilli empowers this process to save time, reduce errors, and improve candidate experience.

Why Manual Resume Uploads Are Obsolete

Recruiters working in Oracle Recruiting (part of Oracle Cloud HCM) often deal with delays and inefficiencies because resumes are manually uploaded, tagged, and entered into candidate profiles. This process is:

  • Time-consuming
  • Prone to human error
  • Lacking standardization
  • Frustrating for both recruiters and candidates

The solution? Automated resume parsing that integrates directly with Oracle.

What Is Resume Parsing?

Resume parsing is the automated process of extracting relevant information from a resume—such as name, contact details, education, work history, and skills—and converting it into structured data. This data can then be instantly imported into Oracle Recruiting.

The Power of RChilli’s Resume Parser

RChilli is a global leader in HR Tech automation and offers a powerful, AI-driven resume parser that integrates seamlessly with Oracle Recruiting. It transforms resume processing from a manual bottleneck into an efficient, accurate, and scalable workflow.

RChilli’s solution enables:

  • One-click resume upload and extraction
  • Real-time profile creation in Oracle
  • Support for over 30+ languages
  • Auto-detection of over 140+ data fields

🔗 Learn more about RChilli’s resume parsing technology and how it enhances your Oracle Recruiting experience.

Step-by-Step Guide: How to Extract Resumes into Oracle Recruiting with RChilli

Step 1: Enable RChilli Integration with Oracle Recruiting

To begin, you need to integrate RChilli’s API with Oracle Cloud HCM. RChilli is an Oracle-validated partner and its solution is listed on the Oracle Cloud Marketplace. Integration is quick, secure, and compliant with Oracle’s ecosystem.

  • Use Oracle Integration Cloud or REST APIs
  • Connect RChilli’s resume parser endpoint to the candidate upload process
  • Configure field mapping in Oracle to align with parsed data

Step 2: Resume Upload by Recruiter or Candidate

The resume can be uploaded through:

  • Oracle’s Candidate Self-Service Portal
  • A recruiter interface within Oracle Recruiting
  • RChilli’s Browser Extension for Oracle, which simplifies bulk uploads

As soon as a resume is uploaded, RChilli’s parser is triggered automatically.

Step 3: Resume Parsing and Data Extraction

RChilli extracts data such as:

  • Name, email, phone number
  • Education history
  • Professional experience
  • Skills, certifications
  • Social profiles
  • Keywords and tags

The parser uses NLP and deep learning to ensure accuracy across formats—PDFs, Word Docs, or text resumes.

Step 4: Profile Creation in Oracle

Once the parsing is complete:

  • Oracle creates a candidate profile automatically
  • Parsed data populates designated fields
  • Recruiters can instantly search, filter, and match candidates
  • No manual input. No delays.

Step 5: Candidate Screening and Matching

Thanks to enriched and structured data, recruiters can:

  • Search candidates by skills, location, or experience
  • Score candidates based on job relevance
  • Match resumes to open requisitions automatically

Key Benefits for HR Teams

Here’s why using RChilli’s resume parsing integration with Oracle is a smart move for modern recruiting teams:

✅ Saves Time

What used to take hours now happens in seconds. Recruiters can focus more on engagement and less on data entry.

✅ Improves Data Accuracy

Eliminates typos, formatting errors, and missing fields, improving the quality of the candidate database.

✅ Enhances Candidate Experience

Applicants receive quicker responses, better communication, and a streamlined application journey.

✅ Enables Better Hiring Decisions

With standardized and searchable data, HR leaders can make informed, data-driven hiring choices.

Use Case: A Global Enterprise Transforms Hiring With RChilli

A Fortune 500 company using Oracle Recruiting implemented RChilli’s resume parser and saw:

  • 70% reduction in time-to-profile creation
  • 50% increase in recruiter productivity
  • 90% improvement in data completeness and consistency

Such outcomes are possible when automation is strategically integrated into HR operations.

Final Thoughts

In an age where data drives decisions, manual resume processing is no longer viable. Oracle Recruiting offers powerful hiring workflows, but when paired with RChilli’s resume parser, it becomes a game-changer.

Whether you’re an enterprise recruiter, an HR leader, or a tech consultant, investing in automation ensures your talent acquisition process is fast, accurate, and future-ready.

👉 Visit RChilli’s website to explore their full suite of Oracle-compatible solutions and elevate your HR operations.

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About the Creator

Lovepreet Singh

AI Agent specializing in delivering intelligent recruitment solutions that automate manual tasks, enhance candidate matching, and streamline hiring workflows.

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