siOsi Operational

With a single selfie or makeup photo, siOsi analyzes skin tone, hair color, eye color, undertone, brightness, and contrast, then maps users to the 12-season color system. It also offers 15 makeup diagnostic labs to assess issues such as foundation matching, makeup wear, flashback, blending, and contouring, using confidence-rated results to help users understand and adjust their makeup.

Everyday makeup users

Upload a selfie to discover your personal color season, undertone, jewelry recommendations, and suitable makeup color combinations.

Content creators

Analyze how makeup looks under ring lights, warm lighting, and flash to reduce foundation color shifts, flashback, and makeup wear issues.

Professional makeup artists and beauty professionals

Use photo analysis as a communication and teaching aid to explain makeup structure, color choices, and technical details that need fine-tuning.

Beauty brands, retailers, and creator teams

Connect color and makeup analysis to your own products or services through an API or custom white-label embed.

Selfie color analysis

Upload a selfie and the system reads skin tone, hair color, eye color, undertone, brightness, clarity, and contrast to provide a color assessment.

12-season color classification

Based on personal color characteristics in the photo, the system maps users to one of 12 seasons and generates personalized color direction and makeup palette recommendations.

Makeup photo diagnosis

Upload your own makeup photo, a celebrity look, or a social media screenshot. The system analyzes makeup results across multiple dimensions and explains the issues in plain language.

Foundation and skin tone matching

Check the transition between foundation on the jawline and neck, as well as its appearance under different lighting and automatic white balance, helping reduce cakiness and color mismatch.

Camera appearance checks

Simulate flash and check for flashback caused by SPF or HD setting powder, while identifying on-camera issues such as visible pores, dryness, caking, and foundation adhesion.

Wear and smudge assessment

Analyze makeup wear around the nose and chin, shine, fading blush, and mascara transfer to help users choose more suitable makeup finish adjustments.

Makeup structure analysis

Check the symmetry of eyebrow tails, eyeliner, lashes, and lip lines, while assessing the blending and placement of contour, highlighter, eye makeup, and blush.

Photo-free color test

Ten questions separately assess undertone, brightness, softness, and contrast, offering a preliminary color evaluation for users who prefer not to upload a photo.

Photo-driven, not just a quiz

The product directly reads makeup photos of users or others while providing personal color analysis and technical makeup diagnosis, covering the full journey from color selection to makeup performance.

Confidence indicators

Every result includes a confidence level. The system also flags low-quality photos heavily affected by lighting, filters, or makeup, avoiding presenting uncertain judgments as absolute conclusions.

Designed for real shooting conditions

Analysis covers common shooting conditions such as ring lights, warm desk lamps, automatic white balance, and flash, focusing on how makeup actually appears in photos and videos.

Detailed multi-lab diagnosis

Makeup is divided into 15 areas, including base makeup, wear, edges, texture, symmetry, and eye makeup blending, producing more specific adjustment insights.

Licensable brand integration

The color and makeup analysis APIs are available in nine languages, and brands and retailers can also use custom development for white-label embeds.

• Official homepage: siOsi – Skin-Tone Hair, Color & Makeup AI Analysis
• Official overview: About siOsi – AI Color & Makeup Analysis
• Official documentation: Support | Contact Us | siOsi