What makes a good LinkedIn headshot?
A strong profile photo communicates three things quickly: this is a real person, they are approachable, and the image fits their professional context. At LinkedIn size, facial clarity, eye contact, a clean crop, and simple contrast matter more than cinematic detail.
Use better input photos
- Choose recent, sharp photos in natural light.
- Include multiple angles and expressions.
- Keep your face unobstructed and avoid strong beauty filters.
- Mix chest-up and half-body images when the service asks for them.
- Do not upload photos of anyone else without permission.
Choose a credible style
Expression
A small, natural smile is a safe default for most roles. Avoid an expression that feels dramatically different from how colleagues meet you in real life.
Background
Neutral studio, softly blurred office, or restrained outdoor backgrounds tend to survive the circular crop. Avoid fake boardrooms, luxury cues, and clutter that competes with your face.
Clothing
Match the level of formality in your target role. A blazer may fit consulting; a clean knit or open-collar shirt may fit product and design. Do not let generated clothing invent credentials, uniforms, or status you do not have.
Crop for the actual interface
Keep your face large enough to read at thumbnail size, leave a little headroom, and test the circular crop before publishing. Export a square version and check it on both a phone and desktop.
Do the identity check
- Does the face still look unmistakably like you?
- Are age, skin texture, hair, eye shape, and teeth believable?
- Are glasses, earrings, collars, hands, and background edges coherent?
- Would a colleague recognize you immediately?
- Does the image create a misleading impression of your role or experience?
Rule of thumb: retouching is acceptable; replacing your identity is not. If the image would surprise someone meeting you tomorrow, choose a more honest result.
BetterPic or Aragon for LinkedIn?
BetterPic is a strong fit when you want 4K files and editing control for a selected keeper. Aragon may fit better when you want a fast individual workflow and broad variety. The tool matters less than disciplined inputs and a realistic final selection.
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