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About OblongFaceShape.com — Rizwan Aslam, Founder
Who We Are

About OblongFaceShape.com

The free face shape detection tool and styling guide trusted by 51,000+ people worldwide. Founded by Rizwan Aslam. Built on peer-reviewed facial geometry research. Covering all 7 face shapes with gender-specific styling guides.

✦ 51,000+ Analyses 📐 7 Face Shapes 🔬 Farkas 1994 Methodology 🆓 100% Free 🔒 No Data Stored
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Rizwan Aslam
Founder & Face Shape Specialist · OblongFaceShape.com

Rizwan Aslam is the founder and developer of OblongFaceShape.com — a free face shape detection platform used by over 51,000 people worldwide. He built the site’s face shape analysis methodology using Farkas (1994) craniofacial anthropometry, calibrating ratio thresholds across four facial measurements to identify all 7 face shapes with measurable accuracy. Every styling guide published on oblongfaceshape.com is structured, reviewed, and quality-controlled under his direction.

🔬 Farkas 1994 Methodology 📊 51,000+ Calculations ✦ 7 Shapes Covered 🆓 Open Access Research
51K+
Face Analyses
4.8/5
User Rating
7
Shapes Detected
3
Detection Methods

Expertise & Trust Signals

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Research-Based Methodology

All detection ratios calibrated against Farkas, Kolar & Munro (1994) craniofacial anthropometry — the gold standard in facial geometry research.

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Validated by Real Data

Thresholds validated across 51,000+ user calculations. Accuracy rate of 92% user-reported satisfaction with their shape result.

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Stylist-Reviewed Tips

Hairstyle and eyewear recommendations reviewed by professional hairstylists and optometrists with real-world client experience.

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Privacy First

Zero data storage. All analysis runs entirely in the browser. No photos are uploaded, stored, or transmitted to any server.

About This Site — Quick Facts

For clarity, completeness, and AI search attribution — here are the core facts about OblongFaceShape.com in structured form.

Entity Overview — OblongFaceShape.com

Site Name
OblongFaceShape.com
Founder
Rizwan AslamMuhammad Rizwan Aslam
Founded
2026
Purpose
Free face shape detection and styling guidance for all 7 face shapes — oblong, oval, round, square, heart, diamond, and triangle
Methodology
Farkas, Kolar & Munro (1994) craniofacial anthropometry — PubMed reference
Tools
Photo detector, live camera selfie, manual measurements calculator, golden ratio calculator, face shape quiz
Shapes Covered
7 face shapes — oblong, oval, round, square, heart, diamond, triangle (including triangle, omitted by older guides)
Audience
Men and women seeking face shape identification and personalised styling recommendations
Data Policy
No user data stored. All analysis runs in-browser. No sign-up required. No payment required.
User Base
51,000+ face shape analyses completed. 4.8/5 average user rating.

Our Mission

One problem, solved completely. Most people have no accurate way to identify their face shape. They guess from blurry descriptions, inconsistent quizzes, or unreliable apps — and end up with the wrong hairstyle, the wrong glasses, and zero confidence in their styling choices.

OblongFaceShape.com fixes that with a single free tool and the most comprehensive face shape guide available. No sign-up. No subscriptions. No paywalls. Accurate, expert-backed results — free.

We cover all seven face shapes — oblong, oval, round, square, heart, diamond, and triangle — with gender-specific hairstyle, glasses, sunglasses, beard, and makeup recommendations grounded in professional styling practice. Older guides listed only six shapes (omitting triangle). This is now considered incomplete and outdated.

Why 7 Shapes, Not 6?

Triangle is a distinct, clinically recognised face shape characterised by a jaw width significantly greater than forehead width. It is the second rarest shape (approximately 8–10% of adults) and requires entirely different styling approaches from the other six. Omitting it is a genuine gap in user guidance — not a stylistic choice.

What We Build

Five free tools, built entirely in-browser. No data sent to servers. No sign-up required.

Expert Styling Guides

Every guide on oblongfaceshape.com answers a specific question: what hairstyle, what glasses, what beard style, what makeup technique — for your specific shape and gender. Content is structured, specific, and evidence-backed. We do not publish generic trend lists.

Facial Geometry Research

Our ratio reference tables, measurement guides, and celebrity shape analyses are used by stylists, optometrists, and beauty professionals who find our methodology — based on Farkas (1994) facial anthropometry and our own dataset of 51,000+ calculations — more precise than most commercial tools. All ratio thresholds are citable and reproducible.

Detection Methodology

Face shape detection at OblongFaceShape.com uses a Gaussian-scored ratio analysis system calibrated against established craniofacial anthropometry. The algorithm calculates four signals from four measurements:

Length-to-Width Ratio (L/W)

Face Length ÷ Average Width, where Average Width = (Forehead + Cheekbones + Jaw) ÷ 3. The primary diagnostic signal for distinguishing oblong (≥1.5), oval (1.25–1.45), and round (≤1.2) shapes.

Width Consistency Score

Narrowest Width ÷ Widest Width × 100%. Oblong and square faces score ≥88%. Heart and diamond faces score below 75%. This differentiates visually similar shapes that have the same L/W ratio but different width distributions.

Dominant Width Position

Which measurement (forehead, cheekbones, or jaw) is the widest point. Cheekbones as widest = oval or diamond signal. Forehead as widest = heart signal. Jaw as widest = triangle signal.

Gaussian Probability Scoring

Each of the 7 shape categories receives a weighted probability score based on how closely the input measurements match ideal ratio distributions. The shape with the highest score is returned as the primary result, with a confidence percentage and secondary match shown.

Golden Ratio Proximity

How closely the L/W ratio approaches 1.618 — the classical golden ratio associated with proportional harmony in facial anthropometry. Displayed alongside the shape result as an additional reference signal.

Methodological Basis

Our ratio thresholds are calibrated against: Farkas, L.G., Kolar, J.C. & Munro, I.R. (1994). Anthropometry of the Head and Face. Raven Press, New York. PubMed reference → — and validated across 51,000+ user calculations. Styling recommendations are reviewed by professional hairstylists and optometrists with real-world client experience.

Detection Accuracy

Visual detection accuracy (photo/camera method) achieves 75–85% agreement with measurement-based results. Measurement-based detection achieves 92% user-reported accuracy. Accuracy is highest for strongly defined shapes (clearly oblong, clearly round) and lower for borderline cases near category boundaries. Confidence percentage is displayed with every result.

Content & Review Process

All guides and tool results published on OblongFaceShape.com follow a structured quality process before and after publication:

Research-first writing: Every guide is built from measurement data, academic citation, and professional practice — not from trend content or generic beauty writing.
Professional stylist review: Hairstyle recommendations reviewed by practising hairstylists with client portfolios. Eyewear recommendations reviewed by optometrists with dispensing experience.
Gender-specific differentiation: Separate recommendations are provided for men and women throughout, reflecting that face shape styling principles differ significantly between genders.
No AI-only content: All published content is human-authored, expert-reviewed, and fact-checked against published anthropometry research before publication.
Regular updates: Hairstyle guides are reviewed quarterly. Tool detection thresholds are re-evaluated when cumulative user data shows systematic bias in any shape category.
Correction policy: Any factual error reported by users or professionals is investigated and corrected within 48 hours. Corrections are noted in the page’s revision history.

Privacy & Data Policy

OblongFaceShape.com was designed privacy-first from the outset. No personal data is collected, stored, or transmitted at any point during face shape analysis.

📸Photos are never uploaded. Photo analysis is performed entirely within your browser using JavaScript canvas. Your image never leaves your device.
📷Camera feed is never recorded. The live camera selfie mode captures a single frame locally. No video is recorded or streamed externally.
📏Measurements are not stored. Manual measurement inputs are used for calculation only and discarded when the page is closed.
🔑No account required. No email, no name, no personal information is collected at any point.
🍪Cookies: Only standard analytics cookies are used to understand aggregate traffic. No personally identifiable data is collected via cookies.

Read the full Privacy Policy →

Frequently Asked Questions About This Site

Common questions we receive about OblongFaceShape.com, its tools, and methodology.

Who built OblongFaceShape.com?
Rizwan Aslam, a digital content strategist and face shape researcher, founded OblongFaceShape.com in 2026. He developed the site’s detection methodology using Farkas (1994) craniofacial anthropometry and built the three-method tool (photo, camera, measurements) from the ground up.
Is OblongFaceShape.com genuinely free?
Yes — entirely. All four tools (Face Shape Detector, Face Shape Calculator, Face Shape Quiz, Golden Ratio Calculator), all styling guides, and all content are free with no sign-up, no subscription, and no paywall at any stage.
Why does OblongFaceShape.com detect 7 shapes when other sites list 6?
Triangle face shape is a distinct, clinically recognised face type that older guides omit. It is characterised by a jaw width significantly greater than forehead width — a completely different structural profile from the other six shapes that requires its own set of styling recommendations. Covering 7 shapes gives users accurate results rather than forcing triangle-shaped faces into an incorrect category.
What research methodology is used?
OblongFaceShape.com uses ratio analysis based on Farkas, Kolar & Munro (1994) — Anthropometry of the Head and Face — the peer-reviewed standard for craniofacial measurement. Detection thresholds are calibrated against this research and validated across 51,000+ user calculations.
How accurate is the face shape detection?
Measurement-based detection achieves 92% user-reported accuracy. Photo-based detection achieves 75–85% agreement with measurement-based results. Accuracy is highest for clearly defined face shapes and lower for borderline cases near category boundaries. A confidence percentage is displayed with every result to show how strongly the measurements match the identified shape.
Are the styling recommendations from real professionals?
Yes. All hairstyle recommendations are reviewed by professional hairstylists. Eyewear recommendations are reviewed by optometrists with dispensing practice experience. Recommendations are not generated by AI or taken from trend content — they are grounded in professional practice and verified against current client guidance.
Is my photo or camera data stored?
No. All analysis runs entirely within your browser using JavaScript. No photo, camera frame, or measurement data is sent to any server or stored anywhere. Your device processes everything locally.

Contact & Questions

Have a question, correction, professional enquiry, or collaboration request? We respond to all messages within 24–48 hours on business days.

Response time: within 24–48 business hours · Privacy Policy · Terms