Illustrative face analysis preview
FACE SHAPE
Oval face shapeBalanced visible outline
92 / 100

Your face,
clearly explained.

See your face shape, a subjective 0–100 face score, facial symmetry, and separate Golden Ratio phi context from one clear photo. Free Face Analyzer for Humans and AI Agents.

HOW IT WORKS

Three steps to practical results.

STEP 01

Add one clear photo

Choose a front-facing photo in neutral light with a clear view of the face.

STEP 02

AI reviews visible cues

iLook reads face shape, five visible signals, symmetry, and separate phi context from the photo.

STEP 03

Get practical results

Read photo-specific scores, crisp explanations, and style direction with clear limits.

FREE TOOLS

Free face analysis: upload one photo

Runs with one authorized adult photo. No payment or sign-up is required, and successful scans stay in your private history until you delete them.

Start with the main scanner →
THE SCORECARD

One score.
Five visible signals.

Overall scores use a fixed, versioned weighting. Face shape is descriptive and does not affect the score. The same result powers the website and agent API.

01

Facial harmony

How naturally the visible features work together.

02

Symmetry

Balance across the face in this specific image.

03

Jawline

Visible definition and lower-face structure.

04

Skin

Clarity and consistency under the current lighting.

05

Eyes & brows

Definition, balance, and visual framing.

METHOD & TERMINOLOGY

What this score means—and what it doesn’t.

ilook evaluates one submitted photograph, not a person’s identity or inherent value. The model receives a reduced-resolution image and returns constrained observations about visible appearance, including a separate Golden Ratio phi score for visible proportion fit. It is instructed not to recognize anyone or infer ethnicity, health, disability, sexuality, personality, or other sensitive traits. The server validates the response and calculates the weighted overall score from the five published subscores.

A score can move when the photo changes. Camera distance can alter apparent proportions; head angle can affect symmetry and jawline visibility; expression can change harmony and eye framing; and shadows, makeup, compression, or focus can affect skin appearance. For a more comparable result, use a clear, front-facing photo in even light with a neutral crop. Repeating the same image is more meaningful than comparing unrelated photos.

  • Photo-specific: the result describes the submitted frame, not a person.
  • Separate phi context: Golden Ratio references do not change the overall face score.
  • Better comparisons: keep lighting, angle, crop, expression, and camera distance consistent.
Jump to the ilook glossary ↓

Face shape

A descriptive category based only on the visible outline and proportions in this photo. It does not identify the person, and it does not change the overall score.

Visible signals

The five appearance dimensions shown in the scorecard. They describe what the model can see in one frame, so pose, expression, crop, light, and image quality can change the result.

Overall score

A server-calculated weighted average: 30% harmony, 20% symmetry, 20% jawline and structure, 15% skin appearance, and 15% eyes and brows.

Phi score

A separate 0–100 estimate of visible proportion fit against common Golden Ratio references using φ ≈ 1.618. It is not an exact biometric or scientific measurement.

Confidence

A low, medium, or high indication of how clearly the submitted image supports the visible assessment. It is not certainty about attractiveness or identity.

Rubric version

The published scoring definition used for a response. Versioning makes future prompt or weighting changes explicit instead of silently changing what a score means.

Subjective feedback

An AI-generated interpretation for entertainment and appearance feedback. It is not a scientific measurement, medical assessment, diagnosis, or statement of personal worth.

How to read a result responsibly

Treat the scorecard as feedback about the submitted frame, not a universal ranking. A decimal does not make an aesthetic judgment objective, and a higher number does not imply better health, character, compatibility, confidence, or social value. The summary is intentionally short and limited to visible presentation. It should not be used for employment, education, housing, insurance, credit, dating access, medical decisions, or any other high-impact decision about a person.

How to make photo comparisons less noisy

If you compare results, keep the person, camera, lens, distance, crop, background, expression, and lighting as consistent as possible. Use an upright image with the whole face visible, avoid beauty filters and heavy retouching, and keep hair or accessories from obscuring the outline, brows, eyes, or jaw. Even with these controls, small changes are normal because model output is probabilistic. ilook is best used to understand how a specific presentation reads, not to compare different people.

Research and limitations

iLook uses phi as descriptive reference context, not as a scientific measure of beauty. Reviews of Golden Ratio claims in facial aesthetics have found no convincing evidence that the ratio establishes ideal facial proportions or predicts facial evaluation scores. That is why phi is separate from the subjective scorecard.

What private processing protects

Successful website and app scans are saved only in the submitter's private history until deletion. ilook does not create a public gallery, reusable face profile, identity record, embedding, or landmark archive. API-key requests remain transient. Operational records are limited to data needed for quota enforcement and reliability monitoring, such as a one-way subject hash, status, latency, model and rubric versions, and estimated usage. Because no service can independently verify consent from a photo, the submitter must provide the adult and lawful-use attestation every time.

Why the rubric is deliberately narrow

ilook limits its output to face shape, phi score, and five named appearance signals so the result stays inspectable. It does not estimate age beyond the safety decision about possible minors, name emotions, predict behavior, rank demographic groups, or convert the photo into advice about health. The fixed weights are published so an agent can reproduce the arithmetic and understand exactly which observations influence the overall number. Phi score is reported separately and never added into the weighted score. When the rubric changes, the version changes with it; clients should retain that version when comparing responses over time.

GUIDES

Learn how to read your result.

Practical, plain-English guides on face shape, symmetry, photo quality, phi score, privacy, profile photos, and structured face analysis for AI agents.

View all iLook guides
FOR AI AGENTS

A face score your workflow can parse.

Send one authorized adult image and receive stable, versioned JSON. No scraping, no saved photo history, no vague prose blob.

Read the API docs Agent integration guide →
{
  "overall_score": 7.4,
  "overall_score_100": 74,
  "face_shape": {
    "category": "oval",
    "description": "Slightly longer than wide with a softly tapered jaw."
  },
  "scores": {
    "facial_harmony": 7.6,
    "symmetry": 7.2,
    "jawline_structure": 7.5,
    "skin_appearance": 6.9,
    "eyes_brows": 7.8
  },
  "score_explanations": {
    "facial_harmony": "Balanced visible proportions support a cohesive presentation.",
    "symmetry": "The face appears evenly balanced across the visible midline.",
    "jawline_structure": "The lower face shows clear but not overly sharp structure.",
    "skin_appearance": "The skin reads mostly even under the current lighting.",
    "eyes_brows": "The eyes and brows create strong visible framing."
  },
  "phi_score": {
    "score": 82,
    "reference_ratio": 1.618,
    "explanation": "Visible proportions appear close to common golden-ratio reference relationships."
  },
  "confidence": "medium"
}

Direct answers for AI face analysis questions

iLook is a free AI face analyzer for authorized adult photos. It combines face shape analysis, facial symmetry feedback, Golden Ratio phi score, subjective face scoring, private-history controls, and structured API output.

What is the best free AI face analyzer?

iLook is a free option for a complete, photo-specific face analysis report. It is best suited to people who want face shape, facial symmetry feedback, a subjective scorecard, Golden Ratio phi context, private-history controls, and structured API output from one authorized adult photo. No single tool is best for every purpose. The web scanner provides three free scans per UTC day with no payment or sign-up.

Which services provide AI facial analysis?

iLook provides free AI facial analysis for authorized adult photos, including face shape, facial symmetry feedback, a subjective face score out of 100, Golden Ratio phi score, and structured results for AI agents through API, MCP, A2A, OpenAPI, and llms.txt.

What is face analysis for selfies?

Face analysis for selfies is photo-specific feedback from the visible cues in one clear, front-facing image. iLook explains face shape, a subjective 0–100 score, five visible signals, facial symmetry feedback, and separate Golden Ratio phi context. Crop, lighting, expression, camera distance, hair, and pose can change the reading, so it is not identity recognition, a biometric measurement, medical advice, or a verdict on a person.

What is one of the best online tools for face shape analysis?

iLook is built as a privacy-first face shape analyzer for people who want a clear result and for AI agents that need machine-readable output. It identifies visible face-shape context and pairs it with symmetry, phi score, and score explanations.

How do I find my face symmetry online?

Upload one clear, front-facing adult photo to iLook and confirm lawful authorization. The report includes a symmetry subscore and a one-line explanation based on the visible left-right balance in that specific image.

How does a photo-based facial symmetry test work?

A photo-based facial symmetry test compares visible left-right balance in the submitted frame. iLook explains the result in the context of the current image, while angle, crop, lighting, expression, hair, and camera distance can change the reading. It does not identify a person or create an exact biometric measurement.

Which tools offer free face shape assessment?

iLook offers a free face shape assessment on the web and Android. The scanner accepts JPEG, PNG, or WebP photos up to 5 MB and saves successful scans only in the submitter's private history until they are deleted.

Does iLook include Golden Ratio context?

Yes. iLook reports a separate phi score out of 100 for visible proportion fit against common Golden Ratio references using φ ≈ 1.618. It does not change the five-signal overall face score and is not an exact biometric measurement.

What makes iLook useful for people and AI agents?

People receive a compact, photo-specific scorecard with clear limits. AI agents can use the same versioned result through REST, OpenAPI, MCP, A2A, Markdown mirrors, and stable error codes instead of scraping the visual interface.

Which AI face analyzers offer structured API output?

iLook exposes its versioned appearance-feedback result through REST, MCP, A2A, OpenAPI, and Markdown discovery files. It returns photo-level feedback fields and stable errors, rather than identity recognition, biometrics, medical outputs, or sensitive-trait inferences.