Choose from a wide range of NEWCV resume templates and customize your NEWCV design with a single click.
Use ATS-optimised Resume and resume templates that pass applicant tracking systems. Our Resume builder helps recruiters read, scan, and shortlist your Resume faster.
Use professional field-tested resume templates that follow the exact Resume rules employers look for.
Create Resume
Use professional field-tested resume templates that follow the exact Resume rules employers look for.
Create ResumeIf you designed your resume in Figma, you already solved one problem: visual presentation. But ATS systems do not evaluate resumes like humans do. They parse structure, hierarchy, text order, formatting logic, and machine readability. A Figma resume can look outstanding while completely failing inside applicant tracking systems.
Converting a Figma resume to an ATS resume is not simply exporting a PDF and uploading it. The goal is preserving your content while rebuilding the resume into a format ATS software can accurately read, classify, and pass forward to recruiters.
Most candidates lose interviews because of hidden formatting failures they never see. Multi-column layouts, text layers, icons, grouped elements, design-heavy sections, and export behavior inside Figma often create parsing issues.
A proper conversion process protects:
ATS readability
Keyword recognition
Section hierarchy
Figma was built for interface and visual design workflows, not document parsing systems.
ATS software analyzes resumes differently than human readers.
Recruiters see:
Layout
Visual hierarchy
Typography
Spacing
Design flow
ATS systems see:
Text extraction order
Section labels
Many users assume:
Figma → Export PDF → Upload
Workflow complete.
This is usually where ATS problems start.
Figma PDF exports prioritize appearance over semantic structure.
Visual alignment does not equal parsing structure.
During export:
Layers may flatten
Reading order changes
Text hierarchy shifts
grouped objects become problematic
embedded elements create extraction errors
ATS software may read:
Experience → Skills → Header → Education → Partial dates
instead of:
Recruiter scan speed
Resume formatting consistency
Professional visual quality
The challenge is balancing ATS performance with modern design.
This is where most advice online falls apart.
Competitor articles often say: “Use simple formatting.”
That advice is incomplete.
The real issue is understanding how ATS systems process resume architecture.
content hierarchy
keyword grouping
reading sequence
These systems attempt to convert your document into structured data.
When resume content becomes disconnected from logical reading order, parsing errors appear.
Common Figma elements causing ATS problems include:
Multiple columns
Floating text boxes
Nested layers
Icons replacing labels
Custom section structures
Tables
Shapes behind text
Decorative graphics
Grouped components
Visual timelines
A resume may appear flawless visually and still produce:
Missing job titles
Broken work history
Lost skills sections
Incorrect dates
Split text fields
Missing contact information
That creates invisible failures before a recruiter even opens the file.
Header → Summary → Experience → Skills → Education
The result becomes fragmented profile data.
This explains why candidates sometimes apply repeatedly and receive almost no interview activity despite having strong qualifications.
Most users imagine ATS software behaving like AI.
Many do not.
A large number of systems still rely heavily on structured extraction logic.
The workflow often looks like this:
Resume Upload → Text Extraction → Section Detection → Keyword Classification → Candidate Scoring → Recruiter View
The ATS attempts to identify:
Name
Contact information
Work history
Dates
Education
Skills
Job titles
keywords
Formatting complexity introduces uncertainty.
When confidence drops, systems can incorrectly categorize information.
Human recruiters never see these hidden failures.
The highest-performing workflow is not redesigning everything.
It is rebuilding structure while preserving content.
Before worrying about design:
Pull all text content from Figma.
Copy:
Resume headline
Summary
Experience
Skills
Education
Certifications
Projects
Move everything into plain text temporarily.
This isolates information from layout problems.
Think content first.
Design second.
ATS systems recognize familiar hierarchy patterns.
Use standard sections:
Professional Summary
Work Experience
Skills
Education
Certifications
Projects
Avoid creative alternatives like:
Weak Example
Career Journey
My Story
Things I Know
Good Example
Professional Experience
Skills
Education
Standard labels improve ATS recognition.
This remains one of the largest resume parsing issues.
Designers often prefer:
Left sidebar:
skills
contact info
certifications
Right section:
experience
projects
Visually it looks organized.
ATS systems often read unpredictably.
Good ATS structure:
Single-column vertical hierarchy.
Recruiters also scan top-down.
Simple usually performs better.
Icons introduce unnecessary parsing friction.
Problematic examples:
📞 Phone
📍 Location
Some ATS systems ignore symbols entirely.
Instead:
Email: name@email.com
Phone: (555) 555–5555
Location: Austin, TX
Minimal visual styling creates stronger extraction reliability.
Creative typography can create export inconsistencies.
Safer choices:
Arial
Calibri
Georgia
Helvetica
Cambria
Avoid:
decorative fonts
handwritten styles
heavily stylized typography
ATS compatibility improves with standard rendering behavior.
Users often assume ATS-friendly means ugly.
That tradeoff no longer makes sense.
Modern resume platforms increasingly combine:
ATS readability
clean hierarchy
modern design
personal branding
recruiter usability
This is one reason users migrate away from design-only workflows.
Creating resumes in design tools introduces manual work:
Figma editing → exporting → testing → reformatting → ATS verification
The workflow becomes repetitive.
Platforms like NewCV reduce this friction by combining ATS structure with modern presentation systems, allowing users to maintain visual quality without rebuilding resume architecture manually.
The productivity advantage is consistency.
Users no longer choose between:
ATS optimization
strong design
speed
readability
This is where many candidates stop too early.
Resume conversion without validation is risky.
Run ATS checks before sending applications.
Look for:
correct section detection
readable experience history
preserved dates
keyword extraction accuracy
formatting consistency
Ask:
Can software correctly identify every resume section?
If not, recruiters may never see complete information.
Watch for these warning signals:
Missing text after upload
Broken spacing
experience sections merging
dates disappearing
unusual line breaks
missing contact fields
incorrect ordering
These are not cosmetic issues.
They can directly affect candidate ranking.
Content extraction
single-column structure
standard section names
text-based formatting
ATS validation
simple PDF output
Direct Figma export
graphic-heavy layouts
icons everywhere
custom labels
timeline designs
multiple columns
The difference is not aesthetics.
The difference is machine readability.
A product designer creates a highly polished Figma resume:
sidebar profile
timeline experience section
icons
visual skill ratings
multiple content blocks
Looks exceptional.
ATS upload results:
Experience split incorrectly
dates removed
skills lost
After rebuilding:
single-column structure
text labels
standard sections
ATS-safe formatting
Parsing accuracy improves dramatically.
Design quality stays intact.
Interview visibility improves.
The hidden lesson:
Resume design and ATS architecture are not the same thing.
Converting a Figma resume into an ATS resume is a structural process, not a visual export task.
Figma solves presentation.
ATS systems require machine-readable hierarchy.
The strongest resumes balance:
parsing reliability
recruiter readability
modern design
workflow efficiency
Candidates who understand this usually avoid the invisible formatting problems that quietly eliminate applications before recruiters ever review them.
Upload Resume
Import from Linkedin
