Automated Resume Screening
Fair, transparent and enhanced screening
Lighthouse uses AI where it adds real value and avoids using it where it can create risk. Lighthouse automatically screens resumes by extracting the right information, removing bias-sensitive details, and enriching candidate profiles with structured, searchable data.
Standardize every resume for fairer comparisons
Remove bias-prone data before evaluations starts
Enrich candidate profiles with context you can actually use
Most Tools Guess
Most resume screening toold try to match resumes to job descriptions.
That sounds simple. But it create problems.
The common approach
Compare resume language to job description language.
Infer fit from similarity scores.
Reward keywords over real experience.
Introduce ambiguity, bias, and hallucinations.
What goes wrong
Strong candidates get missed because they describe experience differently.
Weak candidate can game the system with keyword stuffing.
Personal details can influence screening.
Teams get a score, but no clear reason behind it.
Our automated resume screening workflow
Parse. Standardize. Enrich
Lighthouse does not start with AI matching. We start by building clean, structured candidate data.
Parse resumes
Extract the right data first
Scan resumes and extract important context from any major file type.
Remobe bias-prone information like PII before evaluation.
Normalize messy inputs so format differences do not distort outcomes.
Flag exploits like keyword stuffing and hidden AI prompts.
Why it matters
Every resume starts on more equal foorting.
Recruiters spend less time cleaning up incosistent documents.
Screening gets more reliable before AI enters the process
Standardize candidate data
Turn every resuime into the same structure
Convert extracted data into a universal schema.
Align work history, education, skills and supporting context.
Creates apples-to-apples comparisons across all applicants.
Surface missing information and gaps more clearly.
Why it matters
Every candidate gets reviewed against the same structure
Every candidate starts on the same footing
Downstream filtering, scoring and review become easier
Enrich with AI
Use natural language processing for context, not guesswork
Tag skills from real experience, even when exact keywords are missing.
View example
Identify industry, domain knowledge and seniority from previous roles
View example
Append behavioral attributes based on previous experience
View example
Better data with automated resume screening
Because Lighthouse parses, standardizes, and enriches resumes in sequence, you get data most systems never capture.
Use that data accross Lighthouse
Filter to find the right candidates using unique data points. Search by any important criteria. E.g location, previous roles, previous companies worked at, specific skills, domain knowledge etc...
Matching is done via context not keywords. Similar roles and skills can match automatically.
Rank candidates against any matching criteria. Scorecards can be created for any role by combining multiple requirements accross different components.
Find the right candidate in your pipeline by searching across entire profiles. Found a candidate that is a good fit for another role? Instantly reengage them.
4.7%
Of candidates are considered qualified
Find qualified candidates immediately with Lighthouse's automated resume screening
Models that keep improving
Our parsing and enrichment models improve over time.
Improve extraction accuracy across reume formats.
Get better at identifying meaningful skills and adjacent roles.
Expand the set of useful, searchable candidate data.
Increase coverage without changing your workflows.
Frequently Asked Questions
What is automated resume screening?
Automated resume screening helps hiring teams review resumes faster by extracting, organizing, and surfacing relevant candidate information.
How is Lighthouse different from other automated resume screening tools?
Lighthouse does not rely on resume-to-job-description matching alone. We use AI to parse, standardize, and enrich resume data using natural language processing and contextual information. This creates a nuanced and holistic profile for recruiters to review.
Does Lighthouse remove bias through automated resume screening?
Lighthouse removes bias-prone data like PII during parsing to reduce the chance that irrelevant personal details influence screening
Can Lighthouse detect keyword stuffing or hidden prompts when performing automated resume screening?
Yes. Lighthouse can identify and flag common exploits such as keyword stuffing and hidden AI prompt manipulation.
What does AI enrichment actually add?
It adds context. Lighthouse can infer skills, domain knowledge, industry knowledge, tool proficiency and other useful candidate attributes even when they are not explicitly written as keywords.
Does AI decide who moves forward?
No. AI helps structure and enrich the data. This data can be used to fuel a rich and deep scoring system based on the requirements that matter to you. At the end of the day ytur team makes the final hiring decisions.
