Resume Parsing & CV Scoring
Turn resumes into ranked candidates. Extract data from PDF and Word resumes and score every applicant against your keywords the moment they’re imported.
Drop a stack of resumes. Walk away with structured, scored candidates ready to work.
Resume parsing software that reads PDF and Word resumes automatically and pulls the text and data into clean, structured records. At the moment of bulk import, every applicant is scored against your configurable rating keywords, so candidates land already sorted by what you actually care about. This is parsing plus keyword scoring on intake, not AI ranking, which is a separate layer.
Why recruiters care
- Bulk import a pile of PDFs and Word docs and watch them parse into structured profiles, no manual data entry, no copy-paste.
- Set the rating keywords that matter for the role and every candidate gets scored the instant they hit your pipeline.
- Skip the cold-read shuffle. Open your list already sorted by keyword fit, and start working the strongest matches first.
- Stop re-keying names, titles, and skills. Parsed data flows straight into the record so you spend your time on people, not data fields.
Why HR leaders care
- Turn intake from a bottleneck into throughput. Hundreds of resumes parse and score on import, so your team scales without adding headcount.
- Standardize screening criteria across every recruiter and every req. Configurable rating keywords mean the same bar, applied the same way, every time.
- Cut the hours your team burns on manual resume review and redirect that time to candidate conversations that move requisitions.
- Every record is captured and structured under your own brand, on one white-label platform, no leakage to third-party tools.
From busywork to a hiring engine.
The old way
- Recruiters open resumes one at a time and retype the data into the system by hand.
- Screening criteria live in each recruiter's head, so the same req gets graded differently by different people.
- Promising candidates sit buried in a long unsorted list while the best ones go cold.
With ATS Mako
- Bulk import parses every PDF and Word resume into a structured record automatically.
- Configurable rating keywords apply one consistent standard across the whole team.
- Candidates arrive pre-scored on intake, so your strongest matches surface first.
Everything in Resume Parsing & CV Scoring.
Automatic PDF and Word parsing
Extract text and data from PDF and Word resumes automatically. No manual entry, no reformatting. Resumes become structured candidate records the moment they import.
Keyword scoring on intake
Every applicant is scored against your rating keywords at the exact moment of bulk import. Candidates land already rated, not waiting in an untouched queue.
Configurable rating keywords
You define the keywords that matter for each role. Tune them per req, set your own bar, and apply the same standard across every recruiter.
Built for bulk import
Feed in a stack of resumes at once. Parsing and scoring run on import, so high-volume intake stops being the slow part of your day.
Distinct from AI ranking
This is parsing plus keyword scoring, a fast, transparent first pass on intake. It works alongside AI ranking, which is a separate layer for surfacing your best candidates.
One white-label platform
Every parsed record and score lives inside your own branded ATS. Communication, scoring, and candidate data, all under your brand, all in one place.
Related features
Related reading
AI in Recruiting: A Practical Guide for Hiring Teams
Where AI actually earns its keep in recruiting, where it doesn't, and how to deploy it without losing candidates or breaking compliance.
Read more AIHow AI Candidate Ranking Works (and How to Use It Well)
AI candidate ranking surfaces your strongest applicants fast — here's how it works under the hood and how to use it without missing great people.
Read moreResume Parsing & CV Scoring FAQ
What file types can ATS Mako parse?
ATS Mako extracts text and data from PDF and Word resumes automatically, turning them into structured candidate records on import.
How does resume keyword scoring work?
You configure the rating keywords that matter for a role, and ATS Mako scores every applicant against them at the moment of bulk import. Candidates arrive pre-scored, so you can start with the strongest matches.
Is keyword scoring the same as AI ranking?
No. Keyword scoring is a fast, transparent first pass that runs on intake using the keywords you set. AI ranking is a separate layer for surfacing your best candidates. The two work together.
Can I customize the scoring criteria for different roles?
Yes. Rating keywords are fully configurable, so you can tune the criteria per requisition and apply one consistent standard across your whole team.
Does parsing work for bulk imports?
Yes. Parsing and keyword scoring are built to run at the moment of bulk import, so you can bring in a large batch of resumes and get back structured, scored candidates.
What candidate data does parsing pull into the record?
Parsing extracts the text and key fields from each resume, such as name, contact details, titles, and skills, and populates a structured candidate record automatically, so your team stops re-keying data by hand.
Build a faster, smarter hiring engine.
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