World's First AI Interview solution

Resume Screening

Automate resume screening with AI-powered parsing, skill extraction, and intelligent candidate ranking. Eliminate manual CV review and reduce screening time from days to minutes.

→ STEP 1

Job Description Upload &
Screening Configuration

The AI resume screening process begins when you create a hiring group and upload your job description. InterviewGod's AI automatically:

Extracts required skills and qualifications from the JD
Identifies must-have vs. nice-to-have requirements
Understands experience level expectations (entry, mid, senior)
Recognizes key responsibilities and role-specific requirements
Auto-generates a group name (editable anytime)

The system queues the call request and initiates the AI call screening within minutes of candidate confirmation.

AI Resume Screening

AI that instantly spots the right resumes.

→ STEP 2

Advanced Screening Criteria:

Customize resume screening parameters for precise candidate filtering:

1. Experience Requirements

Set minimum and maximum years of experience
Define relevant industry experience requirements
Specify career level (entry, mid-level, senior, leadership)
Filter by company type (startup, enterprise, specific industries)

2. Education & Certification Filters

Required degree levels (Bachelor's, Master's, PhD)
Preferred universities or institution types
Mandatory certifications (PMP, AWS, CPA, etc.)
Field of study requirements

3. Location & Availability

Geographic preferences (city, state, country, remote)
Relocation willingness indicators
Notice period constraints
Availability requirements (immediate, 30 days, etc.)

4. Custom Keywords & Phrases

Add specific technologies, tools, or methodologies
Include industry-specific terminology
Define role-specific keywords (e.g.P&L, management, Agile Scrum)
Set mandatory vs. optional keyword matching

5. Screening Weights & Scoring

Assign weights to different criteria (skills: 40%, experience: 30%, education: 20%, other: 10%)
Set minimum match scores for shortlisting (e.g., 70%+ match)
Define knockout criteria (auto-reject if missing critical requirements)
Configure ranking algorithms (skills-first vs. experience-first)

6. Bulk Resume Upload Options

Drag-and-drop: Upload multiple resumes at once (up to 1000 resumes per batch)
Folder upload: Select entire folders containing resume files
Email integration: Forward resumes from your recruiting email directly
ATS sync: Automatically import resumes from existing Applicant Tracking Systems
Cloud storage: Connect to Google Drive, Dropbox, or OneDrive for bulk import

7. Real-Time Processing Dashboard

Recruiters have complete visibility into the resume screening pipeline from upload to shortlist generation.

Processes uploaded resumes instantly (seconds per resume)
Shows real-time parsing progress and status
Identifies parsing errors or unreadable files
Tracks total resumes uploaded, processed, and pending
Provides live screening results as they complete
Allows filtering and sorting as resumes are being processed

Learn how companies in Manufacturing, Retail & E-Commerce, and Technology companies use AI resume screening for high-volume candidate filtering.

→ STEP 3

AI Resume Parsing &
Information Extraction

When resumes are uploaded, the AI resume screening system performs comprehensive parsing:

Personal Information:

Full name and contact details
Email address and phone number
LinkedIn profile and portfolio links
Current location and relocation preferences

Professional Experience:

Job titles and company names
Employment dates (start and end dates)
Job descriptions and responsibilities
Key achievements and accomplishments
Technologies and tools used
Industry and domain experience

Education & Qualifications:

Degrees and certifications
Universities and institutions
Graduation years and GPAs (if mentioned)
Fields of study and specializations
Academic projects and research

Skills & Competencies:

Technical skills (programming languages, tools, platforms)
Soft skills (leadership, communication, teamwork)
Domain expertise (finance, healthcare, manufacturing, etc.)
Certifications and licenses
Language proficiencies

Additional Data:

Total years of experience
Career progression trajectory
Employment gaps (identified and flagged)
Notice period (if mentioned)
Expected salary range (if mentioned)

Multi-Format Processing:

PDF resumes: Standard and scanned PDFs with OCR
Word documents: DOCX and DOC formats
Text files: Plain text resumes
Images: JPG, PNG scanned resumes with intelligent OCR
Complex layouts: Multi-column, creative designs, infographics

Parsing Accuracy:

Standard formats: 95%+ accuracy
Creative layouts: 85-90% accuracy
Scanned documents: 80-85% accuracy with OCR
Non-English resumes: Supported with reduced accuracy

Error Handling:

Flags unreadable sections for manual review
Highlights low-confidence extractions
Provides original resume for recruiter verification
Allows manual corrections and re-parsing

Companies in Financial Services and Healthcare rely on accurate resume screening for compliance and qualification verification.

→ STEP 4

Job Description Matching &
Relevance Scoring

After parsing, the AI resume screening system performs intelligent matching against your job description:

Skill Matching Analysis

The AI evaluates how candidate skills align with job requirements

Experience Level Evaluation

Resume screening analyzes professional experience depth

Education & Certification Matching:

The system evaluates academic qualifications

Advanced Semantic Analysis

AI resume screening goes beyond keyword matching

Scoring Methodology

Each resume receives comprehensive scores

→ STEP 5

Automated Candidate Ranking &
Shortlisting

Based on matching scores, the AI resume screening system automatically ranks all candidates:

1. Ranking Algorithm:

Highest to lowest match: Candidates sorted by overall match percentage
Weighted criteria: Ranking considers your custom priority settings
Must-have requirements: Candidates missing critical requirements ranked lower
Tie-breaking logic: Secondary criteria used when scores are similar

2. Automatic Shortlisting

Tier 1 - Strong Matches (80-100% match)
Tier 2 - Good Matches (60-79% match)
Tier 3 - Potential Matches (40-59% match)
Below Threshold (<40% match)

3. Custom Shortlist Creation:

Create targeted candidate lists:

Filter by minimum match score (e.g., 70%+ only)
Filter by specific skills or qualifications
Sort by experience level, location, or availability
Create multiple shortlists for different interview rounds
Export shortlists to PDF, Excel, or your ATS

Learn how companies in Manufacturing, Retail & E-Commerce, and Technology companies use AI resume screening for high-volume candidate filtering.

→ STEP 6

AI Screening Results —
Deep Analysis and Comparative Analytics

Detailed Skill Analysis:

All extracted skills listed with proficiency indicators
Required skills match status (✓ = match, x = missing)
Preferred skills match status
Skill recency and years of experience per skill
Skill gaps analysis

Companies use detailed screening analytics to identify top 1% talent with 95% accuracy before the first interview.

→ STEP 7

Interview Round Integration

Resume screening integrates seamlessly with subsequent hiring rounds:

Multi-Round Hiring Workflow

Shortlisted candidates flow automatically into next stages:

Direct to AI Interview
Direct to AI Assessment
Direct to AI Call Screening
Manual review

Ready to get started?
Talk to us today

Email us

hello@interviewgod.ai

NextCoWorks, JP Nagar,
Bengaluru, Karnataka 560078

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