Data and parsing

CV & Resume Parsing

Extract experience, education, skills, certifications, contact details, and employment history from uploaded documents.

AI surfaceData and parsing2 workspace modesCore product surface

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Source page reference

Turn resumes into structured, searchable candidate records.

Parsed fields remain reviewable with confidence, source file, and candidate history attached.

  • Extract contact, skills, roles, education, and certifications
  • Normalize fields into the Syndeo candidate profile
  • Flag low-confidence data for quick human review
  • Detect duplicates and merge candidate history safely
CV & Resume Parsing source page reference
Core capabilities

What the page needs to make clear.

Make every resume searchable without losing human review.

Field extraction

Capture structured data from messy documents.

Skill taxonomy

Map skills into a consistent vocabulary for search and matching.

Confidence review

Review uncertain fields before they affect hiring decisions.

Duplicate detection

Find existing records and prevent fragmented candidate histories.

Profile enrichment

Add missing context from applications and recruiter notes.

Data validation

Stop bad data before it reaches reports or recommendations.

Workflow

CV & Resume Parsing flow

Teams that need clean candidate data without manual copy-paste from CVs, PDFs, emails, and applications.

PDFresume support
DOCXdocument support
Reviewconfidence flow
Dedupecandidate merge
1
Upload resume

Import from upload, email, application, or existing profile.

2
Extract fields

Read contact, work history, education, skills, and certifications.

3
Normalize skills

Map extracted data to standard fields and skill categories.

4
Flag confidence

Show confidence levels and call out missing or conflicting data.

5
Review profile

Let recruiters correct fields before activation.

6
Save candidate

Create a searchable profile linked to the source file.

Enterprise workflow

Built for visible, controlled workflows.

Each feature page exposes the public-safe outcome, the operating controls around it, and the product route it came from.

Outcomes
  • Parsed candidate profile
  • Confidence review
  • Duplicate detection
Controls
  • Sanitized public storytelling
  • Metric-level visibility
  • Export-ready operating history
  • Workspace-scoped permissions
  • Designed for review, not hidden automation
Source in the product

Generated from the app, refined for buyers.

This marketing mock keeps the feature catalog tied to Syndeo's operator navigation and workspace profiles, then translates it into public-safe product language.

Primary route/operator/bulk-upload
Source keys
bulk-upload, candidates, applications
Workspace modes
Agency, Internal hiring
Routes found
3
Open product route
Related features
Bulk CV uploadBulk upload parses candidate CVs into structured profiles and scoring context.ReportsReports give agencies and internal teams operating visibility without exposing private records.Semantic searchSemantic search is a Syndeo data and parsing surface backed by the product navigation and workspace mode model.

Designed to fit the larger Syndeo workflow.

Each application plugs into candidates, workspace permissions, reviews, and audit-ready history so teams can move faster without losing control.

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