Free • No signup Create Cosmetic procedure results photos · Free

Document Cosmetic Procedure Results Consistently

Aesthetic procedures require objective documentation. Match lighting and angles to show real results.

Botox documentation with mismatched lighting obscuring results
Before
Normalized lighting showing accurate wrinkle reduction results
After

Create Cosmetic Procedure Results Photos | EditThisPic

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Popular use cases:
  • Cosmetic procedure photos
  • Aesthetic documentation
  • Dermatology before after
  • Botox documentation
  • Filler results photos
  • Med spa photography
  • Plastic surgery documentation
  • Laser treatment results

Cost
Free No signup required
Time
Instant results in 15-30 seconds
Works on
Any device - browser, phone, tablet, desktop
Powered by
AI-powered photo editing
Scenario Prompt Time
Aesthetic documentation match lighting and angle for medical aesthetic documentation 20s
Wrinkle reduction normalize lighting to show wrinkle reduction accurately 25s
Volume changes match lighting and shadows to show volume changes accurately 25s

How it works

  1. Upload pre and post-treatment photos

    Drop your before-treatment and after-treatment photos into EditThisPic. JPG, PNG, WebP up to 7MB. Works with dermatology photos, plastic surgery documentation, med spa results, laser treatment outcomes—any aesthetic procedure needing consistent documentation.

    Expect: Simple lighting normalization: 20-25 seconds. Complex multi-angle documentation or significant quality differences: may need refinement.
  2. Specify clinical documentation standards

    Type 'match lighting and angle for aesthetic documentation' or 'normalize both photos to clinical quality with consistent lighting.' The AI removes lighting bias that can hide or exaggerate treatment effects—critical for honest results documentation and regulatory compliance.

    Tip: For consistent clinic documentation, create a standard prompt template and use it for all procedures: 'neutral white light, straight-on angle, clear view of treated area.'

    Copy one of these to get started:

    Standard aesthetic procedure documentation match lighting and angle for medical aesthetic documentation, ensure both photos show treatment area identically
    Botox or wrinkle reduction documentation normalize lighting to show wrinkle and line reduction accurately, no lighting tricks that hide or exaggerate results
    Filler or volume restoration results match lighting and shadows to accurately show volume changes and facial contour improvements from fillers
    Skin treatment or laser therapy results normalize lighting to clinical quality, accurately show skin texture, tone, and clarity improvements without lighting bias
    3 more prompts
    Multi-angle facial documentation for front view, match clinical lighting; for profile, match clinical lighting; for three-quarter view, match clinical lighting
    Patient-submitted follow-up photos enhance patient home photo to match clinic documentation quality, normalize lighting while preserving accurate treatment results
    Creating professional portfolio photos create side-by-side before-after with matched clinical lighting, professional presentation for portfolio and marketing
  3. Verify treatment outcome accuracy

    Check that skin texture, color, wrinkles, volume, and other treatment effects are accurately represented without lighting-induced distortion. Verify both photos show the treated area from the same perspective and distance. Medical aesthetics documentation must reflect real outcomes.

  4. Refine for specific procedures

    If documenting specific treatments, add relevant details: 'for Botox forehead lines, ensure lighting shows actual wrinkle reduction' or 'for filler results, match lighting to show volume accurately.' Different procedures have different documentation requirements.

    Tip: Multi-area treatments need consistent documentation for each area. Use same standardized settings for all before-after pairs.
Try it free

Create Cosmetic Procedure Results Photos | EditThisPic

Drop your photo here

or click to browse

Release to upload

Free • No signup

"Our Botox before-afters looked inconsistent across different exam rooms. Now all our results photos match and patients trust the documentation." @MedSpaDirector

See it in action

Botox documentation with mismatched lighting obscuring results
Before
->
Normalized lighting showing accurate wrinkle reduction results
After

Botox forehead lines documentation normalized

Pre-treatment in bright overhead exam room light, post-treatment in softer consultation room. Matched lighting to show actual wrinkle reduction without lighting distortion.

Prompt: normalize lighting to show wrinkle and line reduction accurately, no lighting tricks that hide or exaggerate results
Filler results with inconsistent lighting and shadow patterns
Before
->
Matched lighting showing accurate volume enhancement from fillers
After

Dermal filler results with consistent shadow documentation

Cheek filler before-after with different lighting creating inconsistent shadow patterns. Normalized to accurately show volume enhancement from filler placement.

Prompt: match lighting and shadows to accurately show volume changes and facial contour improvements from fillers
Laser treatment photos with mismatched home vs clinic quality
Before
->
Standardized documentation showing accurate skin texture improvement
After

Laser skin treatment with normalized texture documentation

Acne scar laser treatment before-after. Patient's before photo from home, after from clinic. Standardized to clinic quality showing real skin texture improvement.

Prompt: normalize lighting to clinical quality, accurately show skin texture, tone, and clarity improvements without lighting bias
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If something looks off

Lighting adjustment changed how treatment results appear

Why: Cosmetic results are highly lighting-sensitive—wrinkles, volume, and skin texture look different under various lighting.

Try: match lighting minimally while preserving accurate visual representation of treatment outcomes

Tip: Medical accuracy trumps perfect photo matching. If normalization distorts results, reduce the adjustment intensity.

Angle correction distorted facial proportions or features

Why: Perspective corrections on faces can warp features if angle differences are substantial.

Try: adjust angle minimally without distorting facial features, preserve natural proportions and symmetry

Tip: Large angle differences require retaking photos. Documentation accuracy can't be compromised for convenience.

Color normalization changed skin tone unnaturally

Why: Skin tone is critical for aesthetic documentation—color shifts can hide redness, pigmentation, or other treatment effects.

Try: normalize overall lighting but preserve accurate natural skin tone and any visible treatment effects on skin color

Tip: Skin tone accuracy is non-negotiable. Always verify natural appearance after color adjustments.

Enhancement created false appearance of better results

Why: Over-processing can artificially smooth skin, reduce wrinkles, or alter treatment areas beyond actual outcomes.

Try: improve photo quality only, do not artificially enhance treatment results or alter skin appearance

Tip: Enhancement should make existing results clearer, never create appearance of results that don't exist.

Matched photos but specific treatment area is now unclear

Why: General normalization may have reduced visibility of the specific area where treatment effects should be most visible.

Try: ensure clear visibility of treated area while matching overall lighting, do not obscure treatment outcomes

Tip: The treated area must be clearly visible in both photos—that's the entire point of the documentation.

Side-by-side layout doesn't show treatment timeline or details

Why: Without procedure information, viewers can't assess results appropriately or understand context.

Try: add treatment date, procedure type, and timeline labels to provide clinical context

Tip: Clinical context is essential. Include procedure name, treatment date, and follow-up timeline.

Quick answers

Do I need to mark areas before matching cosmetic procedure photos?

No! Just describe the documentation requirement: 'match lighting for aesthetic documentation' or 'normalize both photos to clinical quality.' The AI understands medical photography standards and applies consistent conditions automatically. Markers are only needed if you want to adjust specific facial areas differently—like enhancing visibility of one treatment zone while keeping others standard.

Why is lighting consistency critical for cosmetic procedure documentation?

Cosmetic results are extremely lighting-sensitive. Different lighting can hide wrinkles, exaggerate or minimize volume changes, alter skin texture appearance, and misrepresent treatment outcomes. Consistent lighting ensures you're documenting actual treatment effects, not photographic variables. This is essential for honest patient communication, regulatory compliance, and professional credibility.

Can this work with patient-submitted follow-up photos?

Yes. Remote follow-ups often rely on patient selfies with varying quality and lighting. The AI can normalize these to clinic documentation standards—improving consistency, enhancing clarity, and making them clinically useful for assessment. Always verify that normalization preserves accurate representation of treatment results, not artificial enhancement.

How do I document procedures requiring multiple angles?

Use the same standardization prompt for each angle pair: 'match clinical lighting for front view,' then repeat for profile, three-quarter, and any other required angles. Comprehensive facial documentation needs consistency across all perspectives. Save your standardized prompt and apply it to every angle pair for professional multi-view documentation.

What if normalization changes how treatment effects look?

Medical accuracy always takes priority. If lighting normalization alters the visible appearance of treatment effects, reduce the adjustment: 'match lighting minimally while showing accurate treatment results.' The goal is removing lighting bias, not creating identical photos. Some lighting variation is acceptable if it preserves honest outcome representation.

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