eyeshapedetector.app

Eye Shape Detector with AI is an online tool that identifies your eye shape from a photo. You upload a clear, well-lit image of your eyes, click analyze, and the AI returns a detailed eye shape analysis along with personalized recommendations. It's aimed at anyone who wants to know their eye type — for makeup, styling, or simple curiosity — without needing professional equipment or an in-person consultation.

How the Tool Works

The process is deliberately short, with three steps:

1. Upload photo — Provide an image of your eyes. The tool accepts PNG and JPG files up to 10MB, either through a file picker or a camera capture option.
2. Click analyze — The AI processes the uploaded photo.
3. See analysis results — You receive a detailed breakdown of your eye shape.

There's no mention of an account requirement or a paywall in the available site information, so treat access details as something to confirm on the page itself before relying on it.

What makes a good input photo

The site gives explicit guidance, and it matters more than most people expect:

• Use good lighting — natural light is preferred
• Keep your eyes open and relaxed
• Look directly at the camera
• Avoid heavy makeup or glasses
• Make sure both eyes are visible

A blurry, dim, or angled photo is the most likely reason for a result that doesn't match what you see in the mirror.

Eye Shapes the Tool Identifies

The detector covers the common eye shape categories. Each has distinct geometry and different makeup implications:

The descriptions above come from the site's own guide. If your result lands between two categories, that's normal — many people have features of more than one.

What You Get Beyond the Label

The output isn't just a category name. The tool pairs the detected shape with personalized recommendations, and the site's shape descriptions double as a practical guide — for example, suggesting winged liner for round eyes or outer-corner shading for downturned eyes. That makes the result usable as a starting point for makeup experimentation rather than a dead-end label.

Getting a More Reliable Result

The site includes a dedicated section on improving accuracy. The practical takeaways:

• Retake rather than accept a doubtful result. If the analysis seems off, the photo is the first variable to change.
• Match the conditions the tool asks for. Direct gaze, relaxed open eyes, and no heavy makeup or glasses remove the most common sources of error.
• Use natural light where possible. It reduces shadows that can distort the apparent shape of the eyelid and corners.

Privacy and Responsible Use

The site addresses privacy, safety, and responsible use as a named topic, which is a reasonable signal that photo handling is treated as a consideration rather than an afterthought. Since the specifics aren't detailed in the available information, check the page's own privacy section if you're deciding whether to upload a personal photo.

Who This Is For

This tool fits you if you want a quick, photo-based read on your eye shape and some direction on how to work with it. It's less suited to anyone seeking a clinical or dermatological assessment — eye shape detection is a cosmetic and styling aid, not a medical evaluation.

If you're new to Ahrefs and want to run your first SEO audit, the fastest path is: open Site Explorer, enter your target URL, review the Overview for a health snapshot, then dig into Organic Keywords, Top Pages, and Site Audit to find specific problems. From there, build a short prioritized to-do list instead of trying to fix everything at once.

This tutorial walks through that workflow using a realistic starting scenario, explains what the numbers mean, and shows how to turn findings into actions.

Before You Start: Pick a Narrow Scope

A common beginner mistake is auditing an entire large website on day one. The reports become overwhelming, and you can't tell which issues matter.

Instead, choose one of these starting points:

• A single important page (your homepage or a key product/service page)
• A small site (under ~50 pages, e.g., a personal blog or small business site)
• One section of a bigger site (e.g., /blog/)

For this tutorial, assume you're auditing a small business site with about 30 pages. The same steps scale up later.

You'll need an Ahrefs account to follow along. Ahrefs offers paid plans, and pricing and feature limits change over time, so check the current Pricing page for what's included in each tier before committing.

Step 1: Enter Your Target in Site Explorer

Site Explorer is Ahrefs' core tool for analyzing any website or URL.

1. Open Site Explorer from the top navigation.
2. In the search box, paste your domain (e.g., example.com).
3. Choose the Exact URL or Domain mode depending on scope. For a full-site view, use Domain or Prefix; for a single page, use Exact URL.
4. Press Enter.

You'll land on the Overview report. Don't try to absorb everything — focus on four numbers first.

Reading the Overview Snapshot

Important caveat: Ahrefs' traffic and keyword numbers are estimates based on its own data. They won't match Google Search Console or your analytics exactly. Treat them as directional, not absolute.

Step 2: See What You Already Rank For

Go to Organic Keywords in the left sidebar. This shows queries where your site appears in search results.

Sort by Traffic (descending) to see which pages bring the most estimated visitors. Then look for:

• Keywords ranking in positions 4–15 — these are often the easiest wins. A small content or on-page improvement can push them onto page one.
• Keywords with high volume but low position — potential opportunities if the topic is relevant.
• Irrelevant keywords — if you rank for something off-topic, it may signal thin or mismatched content.

Write down 5–10 of the position 4–15 keywords. These become your first optimization targets.

Step 3: Find Your Best and Weakest Pages

Open Top Pages. This ranks your URLs by estimated organic traffic.

Look for two things:

1. Your top performers — understand what topics and formats work. Can you create more content like this?
2. Pages with traffic but poor rankings — these may need on-page fixes (title, headings, internal links).

If a page gets zero traffic and targets a topic you care about, it's a candidate for a rewrite or consolidation.

Step 4: Run a Technical Site Audit

Now move to Site Audit. This crawls your site and flags technical and on-page issues.

1. Click Site Audit → New project.
2. Enter your domain and set crawl settings (default is usually fine for a small site).
3. Start the crawl and wait for it to finish.

Once complete, you'll see a Health Score and a list of issues grouped by category.

Which Issues to Fix First

Not all issues are equal. Prioritize in this order:

Ignore low-impact warnings (like minor meta description length) until the big items are handled.

Step 5: Turn Findings Into a To-Do List

You now have raw data. Convert it into a short, actionable list. Example:

1. Fix 3 broken links found in Site Audit.
2. Rewrite title tags on 5 pages with duplicate titles.
3. Improve 4 pages ranking in positions 6–12 by adding missing subtopics and internal links.
4. Remove or update 2 thin pages with no traffic.

Keep the list to 5–10 items max for your first audit. Finishing a short list beats starting a long one.

Common Beginner Mistakes

• Chasing every red flag. Site Audit flags many minor issues. Fix what affects rankings and users first.
• Trusting estimates as exact numbers. Ahrefs data is modeled, not measured from your analytics.
• Auditing a huge site too early. Start small to learn the interface.
• Ignoring search intent. A page can be technically perfect but still fail if it doesn't match what searchers want.
• Forgetting to re-crawl. After fixes, run Site Audit again to confirm improvements.

Where to Go Next

Once your first audit is done:

• Compare with competitors using Site Explorer's Competing Domains and Content Gap reports.
• Track keyword rankings over time with Rank Tracker.
• Explore backlink opportunities in the Backlinks and Link Intersect reports.
• Set up recurring Site Audit crawls so new issues surface automatically.

Your first audit isn't about perfection — it's about building a repeatable habit: enter a target, read the key reports, pick the highest-impact fixes, and act. Do that once a month and your site's health compounds.

Eye Shape Detector with AI (eyeshapedetector.app) is a tool that analyzes an uploaded photo to identify your eye shape and return personalized makeup or styling suggestions. The site includes a section titled "Privacy, Safety, and Responsible Use," which signals that it treats photo handling as something users should think about — but the page evidence available here does not spell out the specific storage, retention, or deletion practices. So the honest answer is: you can use it, but you should treat your photo as personal data and decide what you're comfortable uploading before you click Analyze.

What the tool actually does with your photo

Based on the site's own workflow, the process is:

1. Upload a clear, well-lit photo showing both eyes (PNG or JPG, up to 10MB), either by file upload or camera.
2. Click Analyze to run the AI detection.
3. See Analysis Results — a detailed eye shape classification plus recommendations.

The site's tips for a good photo are: natural lighting, eyes open and relaxed, looking directly at the camera, and no heavy makeup or glasses. These matter because the AI is reading eyelid crease, outer-corner angle, and width-to-height ratio — the same features used to describe the common shapes below.

Why an eye photo is more sensitive than it looks

An eye close-up is still a face image. Depending on how it's cropped, it can carry:

• Identifying features — iris pattern, eyebrow shape, skin texture, and any surrounding facial structure.
• Metadata — most phone photos embed GPS coordinates, device model, and timestamps unless stripped.
• Context clues — a background mirror, a reflection, or a visible room can reveal where you are.

The site's own guidance points toward "responsible use," which is a reasonable prompt to check what you're actually handing over. Before uploading, it's worth confirming on the site itself how photos are processed and whether they're stored, since the available page evidence doesn't state this.

A practical pre-upload checklist

On most phones you can remove location data by taking a screenshot of the photo and uploading that instead, or by using your gallery's "remove location" option.

How to read the result responsibly

The detector returns one of the common eye shapes — almond, round, upturned, or downturned — each defined by measurable features:

• Almond: slightly pointed outer corner, visible crease, wider than tall.
• Round: large and circular, with white visible around the iris.
• Upturned: outer corner sits higher than the inner corner.
• Downturned: outer corner sits lower than the inner corner.

These categories are descriptive, not diagnostic. Eye shape sits on a spectrum, lighting and expression shift the reading, and the same person can get different labels from different photos. Treat the output as a styling reference — useful for choosing eyeliner placement or eyeshadow blending — rather than a fixed fact about your face.

Bottom line

The tool is straightforward to use and the site acknowledges privacy and responsible use as part of the experience. What the available evidence doesn't confirm is exactly how your photo is stored or deleted, so the safe approach is to minimize what you upload: crop to the eyes, strip metadata, skip photos with identifying backgrounds, and only upload your own image. If the site's privacy terms don't answer your questions, don't upload — the result is a style suggestion, and no suggestion is worth more than your comfort with the data you're sharing.

To get a more reliable result from eyeshapedetector.app, upload a clear, well-lit photo in which both eyes are visible, keep your eyes open and relaxed, look directly at the camera, and avoid heavy makeup or glasses. The tool accepts PNG and JPG files up to 10MB, then analyzes the photo after you click the analyze button. These conditions matter because the detector reads visible eye features — lighting, angle, and obstructions all change what it can see.

Why Photo Quality Decides the Result

An eye shape detector with AI works from the image you give it. It looks at visible cues such as the outer corner position relative to the inner corner, the amount of white showing around the iris, and whether a crease is visible on the eyelid. If the photo is dim, blurry, tilted, or partly covered, those cues become ambiguous, and the reported shape can shift.

The site's own guidance reflects this: it asks for a clear, well-lit photo, both eyes visible, eyes open and relaxed, a direct gaze at the camera, and no heavy makeup or glasses.

Step-by-Step: Preparing a Photo That Detects Well

1. Choose your light. Natural light is preferred. Face a window rather than standing with a window behind you, so your eyes are lit rather than shadowed.
2. Remove obstructions. Take off glasses. If you wear heavy eye makeup, the site advises avoiding it for the detection photo — liner and shadow can hide the crease and corner shape the detector relies on.
3. Position the camera at eye level. Looking directly at the camera keeps the inner and outer corners in their true relative positions. A photo taken from above or below distorts that relationship.
4. Keep your eyes open and relaxed. A wide, forced stare and a half-blink both misrepresent the natural opening of the eye.
5. Make sure both eyes are in frame. The detector expects both eyes visible, so crop or reshoot if one eye is cut off or turned away.
6. Check the file. Upload a PNG or JPG up to 10MB. A sharp, front-facing photo beats a high-resolution but slightly blurred one.

How to Run the Detection

1. Upload your photo — click to upload or drag and drop the file, or use the camera option.
2. Click Analyze — the tool processes the uploaded photo.
3. Read the analysis results — you get a detailed eye shape analysis.

If the result looks wrong, the fastest fix is usually to reshoot under better light with a direct gaze, rather than to re-run the same photo.

Common Eye Shapes the Tool Reports

Knowing the expected features helps you sanity-check the output. For example, if the tool reports upturned but your outer corners clearly sit below your inner corners in a straight-on photo, the photo — not your eyes — is the likely problem.

Common Reasons a Result Looks Off

• Backlit or dim lighting hides the crease and corner detail.
• Glasses add reflections and frames that cross the eye area.
• Heavy eyeliner or shadow changes the apparent shape of the outer corner.
• A tilted or off-center camera shifts the inner-to-outer corner comparison.
• Squinting or a half-open eye reduces the visible opening.
• Only one eye in frame removes the second reference point.

A Practical Way to Confirm Your Shape

Run the detector on two or three photos taken on different days under similar natural light, all front-facing and without makeup or glasses. If the results agree, you can treat the shape as reliable. If they disagree, compare the photos — the one with the clearest lighting and most direct gaze is the one to trust, and it's worth retaking the others to match it.

The site also notes a responsible-use angle: this is a photo-based estimate, so treat the output as a guide for makeup and styling choices rather than a fixed label.

Eye shape is usually described by two things: the angle between your inner and outer corners, and how much of the eyelid crease is visible. The four shapes most often used in eye shape tests are almond, round, upturned, and downturned. Below is how to tell them apart, what each looks like, and how people typically work with each one.

The four common eye shapes at a glance

Almond eyes

Almond eyes have a slightly pointed outer corner and a visible crease on the eyelid. They are longer in width than in height, which creates a naturally balanced look.

Because the proportions are even, this shape is versatile and suits almost any makeup style, from soft blended eyeshadow to bold, dramatic eyeliner. A common approach is to highlight the outer corners or add a subtle winged liner to elongate the eye further.

Round eyes

Round eyes are large, open, and circular, with whites visible around the iris. They tend to give a bright, youthful appearance and an expressive look.

To add definition, people often use winged eyeliner or smoky shadow to introduce depth and elongation. This shape works well for playful or dramatic styles, and it is easy to experiment with different eyeshadow techniques to lean into the natural openness.

Upturned eyes

Upturned eyes have an outer corner that lifts higher than the inner corner, creating a naturally lifted appearance. This shape is often described as elegant and gives the face a slight cat-eye effect.

To balance the lift, many people use eyeliner or eyeshadow to either emphasize the outer corners or create a more rounded look with shading. Soft smoky effects and blended liners tend to work well for a graceful result.

Downturned eyes

Downturned eyes have an outer corner that sits lower than the inner corner, creating a slightly drooping effect. This shape gives a soft, gentle expression.

People with downturned eyes often use lifting eyeliner or shading at the outer corner to create balance. A well-placed cat-eye or winged liner can help lift the eyes visually. This shape suits elegant and classic looks.

How to get a more reliable read on your own shape

If you are comparing your eyes against these descriptions, the photo you use matters. The eye shape detector guidance recommends:

• Use good lighting, with natural light preferred
• Keep your eyes open and relaxed
• Look directly at the camera
• Avoid heavy makeup or glasses
• Make sure both eyes are visible

A clear, well-lit photo with both eyes visible gives the most usable result, and the tool accepts PNG or JPG files up to 10MB.

Where these categories come from

These four shapes are the standard groupings used by the Eye Shape Detector with AI (eyeshapedetector.app), which analyzes an uploaded photo and returns a detailed eye shape result along with personalized recommendations. The categories are descriptive rather than diagnostic — they are a way to describe how your eyes look, not a medical classification.