Resumes in. Structured profiles out.
TalentFlow parses every resume into a consistent profile, strips personal data before AI processing, and applies your criteria with deterministic logic. Recruiters review and decide.
Three steps from resume pile to structured profiles
AI candidate screening software should show its work. TalentFlow turns unstructured resumes into consistent profiles, then runs your requirements as deterministic checks, so every candidate is evaluated the same way.
Parse
Every resume, in any format, is parsed into the same structured fields. PDF, DOCX, and scanned documents all land in one consistent profile.
Strip personal data
Name, photo, age, and contact details are removed before any AI processing, so screening starts from qualifications, not identity.
Apply your criteria
Your requirements run as deterministic checks: same criteria, same evidence, every candidate. Recruiters review the results and decide.
Everything resume screening needs, nothing it should hide
Resume parsing, deterministic criteria, and a full audit trail in one toolkit. No AI scores, no rankings, no black box between your team and the evidence.
Resume parsing and OCR
PDF, DOCX, and scanned resumes are read into structured data, so nothing gets skipped because of file format or layout.
Duplicate control
Repeat applications are merged into one candidate profile with full history, so your team never screens the same person twice.
Skills taxonomy
Synonyms and related technologies are normalized into one skills vocabulary you control, from React.js and ReactJS to every niche tool.
Structured profiles
Every candidate appears in the same layout: experience, skills, education, and criteria results. Comparable at a glance, consistent at volume.
Consent and retention
Candidate consent is captured at application, and configurable retention rules purge personal data on your schedule.
Audit trail
Every criteria result, note, and status change is logged with who and when, so any decision can be reviewed later.
Criteria results with evidence, not AI scores
Screening output your team can defend. Each requirement is checked the same way for every candidate, and the result points back to the resume it came from.
Every requirement you set is marked met or not met, never blended into a score.
Each result cites the resume lines it matched, so reviewers see the evidence.
The recruiter records the decision and the reason, every time.
Structured criteria results
- Requirement 01Met
- Requirement 02Met
- Requirement 03Not met
Resume screening, answered
TalentFlow parses every resume into a consistent structured profile, removes identifying personal data before any AI processing, and runs your requirements as deterministic checks. Recruiters review the results and decide.
No. Every requirement you set is marked met or not met, never blended into a score, and there are no rankings. Each result cites the resume lines it matched, so reviewers see the evidence.
PDF, DOCX, and scanned resumes are all read into the same structured fields, so nothing gets skipped because of file format or layout.
Yes. Name, photo, age, and contact details are removed before any AI processing, so screening starts from qualifications, not identity.
Repeat applications are merged into one candidate profile with full history, so your team never screens the same person twice.
Yes. Every criteria result, note, and status change is logged with who and when, and the recruiter records the decision and the reason every time, so any decision can be reviewed later.
Candidate consent is captured at application, and configurable retention rules purge personal data on your schedule.
Every resume structured. Every decision yours.
See deterministic screening on your own roles and resumes. A tailored walkthrough of parsing, criteria, controls, and cost.
ISO/IEC 27001 certified. SOC 2 Type 2 completed. GDPR compliant. No automated candidate decisions.