How to look better in photos

Photogenic-ness is not a fixed trait. Five levers, each independently tunable, account for almost all of the gap between a bad photo and a great photo of the same face. The five are: lighting, camera distance and lens, angle and head tilt, posing, and expression.

The variance in outcomes from technique is much larger than the variance from underlying face. Two photos of the same face taken at different focal distances, with different lighting, and with different expressions can produce viewer ratings that span 2 to 3 points on a 10-point scale. The technique levers are the highest-return work for most users.

This page covers each lever at the protocol level. The companion blog post (9 research-backed fixes) goes deeper on the specific named fixes per lever. Use this page as the index and the blog post as the detailed walkthrough.

Lighting is the single highest-return lever for amateurs. The default state most people photograph in (overhead office fluorescent, midday sun, or front-facing-camera selfie indoors) is documented to produce some of the worst photo outcomes for viewer ratings. The fix is window light at 10am or 2pm against a neutral wall, or any large, diffuse light source roughly at eye level and slightly to one side.

Three failure modes to recognize. Overhead light produces under-eye shadows that read as fatigue and aging; the fix is to lower the light to eye level or close to it. Direct flash flattens facial texture and adds glare to skin and glasses; the fix is to bounce or diffuse it. Mixed color-temperature light (warm bulb plus daylight window) creates color casts that look unnatural; the fix is to pick one source and turn the other off.

The photo lighting guide walks through the setup with phone-and-window photos. The selfie lighting tips page covers the phone-specific variants.

Lens focal length and subject distance change the apparent geometry of the face. A 24mm-equivalent lens (most phone front cameras) shot at arms length enlarges the nose, recedes the ears, and widens the face. A 50mm-equivalent lens shot from one meter or further produces the proportions most viewers register as natural.

The fix is two changes. First, switch to the rear camera. Rear-camera lenses on modern phones are closer to 28mm to 35mm equivalent, which is meaningfully better than the front camera 24mm. Second, increase subject distance to at least one meter, ideally with a tripod or by handing the phone to a friend. The combination of better lens and longer distance is a larger improvement than either alone.

For the dating-photo case specifically, the photo angles guide covers the focal-length-plus-angle combinations that work. For LinkedIn photos, see LinkedIn headshot tips.

Three angle moves do most of the work. The three-quarter angle (rotate the head 15 to 30 degrees off-axis from the camera) shows depth and is the single most flattering general-purpose angle for most face shapes. A slight chin tuck (one to two degrees, not exaggerated) defines the jawline and prevents the under-chin from showing on slightly-below-eye-level shots. A slight head tilt to one side (3 to 5 degrees) breaks the strict-vertical line of a frontal photo and reads as less posed.

Failure modes: the up-from-below angle (phone below the chin) flatters almost no one; it elongates the nose and adds a double-chin shadow. The strict-frontal eye-level shot reads as a passport photo. The exaggerated TikTok chin-tuck reads as posed. The fix is small, deliberate angle changes rather than large ones.

The best face pose for photos covers each angle with specifics, including which angles work best for which face shape (see also best face shape for photos).

Body posing affects the viewer rating of a head-and-shoulders photo more than most amateurs expect. Three principles cover most of it. Shoulders rotated 10 to 20 degrees off-axis from the camera (with the head returning to roughly frontal) creates depth and reads as natural rather than posed. Relaxed posture (shoulders down, not hunched) shows confidence; tense-shouldered photos read as anxious regardless of facial expression. A slight forward lean of the upper body (5 to 10 degrees from vertical) reads as engaged.

Hand placement also matters. Hands in front of the face (chin in hand, finger on lip) are over-used in stock photography and read as posed. Hands at sides (out of frame) or in a natural mid-frame position (one hand resting on a steering wheel, on a desk) read as more natural. The hands almost always do better out of frame for headshot crops.

For dating-photo posing specifically (variety across photos, what to shoot in each), see the Tinder photo principles. For LinkedIn-specific posing, see LinkedIn headshot tips.

Expression is the lever most often defaulted into one of two bad modes: forced-wide smile or neutral-stiff. The research-backed alternative is the Duchenne smile, which FACS researchers code as AU6 (cheek raise plus eye crinkle) combined with AU12 (lip corner pull). Ekman and colleagues have repeatedly shown this expression reads as more genuine, more trustworthy, and (in still photos) more attractive than either forced smiles or neutral expressions.

The lever for producing a Duchenne smile in a deliberate photo is to think of something genuinely positive immediately before the shutter. The eye crinkle is involuntary and cannot be faked from a posed-smile starting point; it comes from genuine positive affect. The technique is to load the affect (think of something real), then trigger the shutter.

First-impression research (Willis and Todorov 2006) shows viewers form trustworthiness and competence judgments within 100 milliseconds of seeing a face. The expression in that 100ms window is doing most of the trustworthiness work. A still photo locks in one frame of that expression for every viewer who sees it.

The five levers above are the population average. Different faces have different weakest levers. The 17-metric looksmaxxing test scores your specific face on 17 published metrics (symmetry, canthal tilt, fWHR, midface ratio, eye-to-eye distance, jaw angle, and the others) and tells you which metrics your current photos are scoring worst on. That information points to the camera lever with the largest return for you.

Example: a face with strong cheekbones but a slightly square jaw benefits most from a three-quarter angle with elevated lighting (which shadows the jaw and emphasizes the cheekbones). A face with a long midface benefits most from longer subject distance plus a slight below-eye angle. The audit makes the diagnosis; the levers above are the prescription.

The free face scan returns the headline metrics. The full 17-metric report ($14.99) includes the full set, a population percentile, and a 30-day plan keyed to your weakest two metrics.

Three documented factors explain the mirror-photo gap. The first is mere exposure: the mirror shows a horizontally flipped face you have seen daily; your brain treats the flipped version as canonical. Photos show the unflipped face, which highlights asymmetries the mirror smooths over. The mere-exposure effect (Zajonc 1968) accounts for why the flipped self looks normal and the unflipped self looks slightly off.

The second is lighting. Bathroom mirrors are typically lit from above and slightly behind, which is flattering. Most photos are taken under different light: overhead office, midday sun, or front-facing camera in mixed indoor light, all of which are less flattering than the mirror baseline.

The third is the removal of motion and voice. In live interaction, the face moves, the voice modulates, and the expression updates 10 times per second. All of that signal carries impression weight. A still photo strips it away and leaves the static outline plus one frame of expression. Faces that lean heavily on motion and expression to deliver impression (most faces) suffer more from the still-photo medium than faces that already score high on the static metrics.

For deeper coverage, see why do I look bad in photos.