Fabric Textile Identifier ID
UtilitiesEducation

Fabric Textile Identifier ID

SULTAN KARABACAK · released 22 Jan 2026 · Open in App Store ↗

Revenue 30d not estimated
Downloads 30d not estimated
Rating 3.00 2 reviews

No in-app products collected for this app.

Rating
Spain50%11.00
United States50%15.00
United Arab Emirates<1%0
Afghanistan<1%0
Antigua And Barbuda<1%0
Anguilla<1%0
Albania<1%0
Armenia<1%0
Angola<1%0
Argentina<1%0

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Description

Fabric Scanner - AI Textile Identifier & Care Guide

Fabric Scanner is the ultimate AI-powered fabric identifier and textile analysis tool designed for fashion enthusiasts, tailors, designers, and anyone who wants to understand their clothes better. Simply take a photo of any fabric, and our advanced AI technology will instantly identify the textile type, composition, and provide comprehensive care instructions.

INSTANT FABRIC IDENTIFICATION

Our intelligent fabric identifier uses cutting-edge machine learning to analyze textile fibers from a single photo. Whether you are dealing with cotton, silk, wool, polyester, linen, cashmere, or blended fabrics, Fabric Scanner delivers accurate textile identification within seconds. No more guessing what material your clothes are made of.

COMPREHENSIVE TEXTILE ANALYSIS

Each fabric scan provides detailed information including:

Fabric type and fiber composition

Texture analysis and quality assessment

Price range estimation

Seasonal suitability recommendations

Durability score and expected lifespan

Sustainability rating and eco-friendly assessment

Style recommendations and occasion matching

SMART FABRIC CARE INSTRUCTIONS

Protect your garments with personalized care instructions for every fabric type. Fabric Scanner provides specific guidance on washing temperature, drying methods, ironing settings, and proper storage techniques. Extend the life of your clothes by treating each textile according to its unique requirements.

AI-POWERED STAIN REMOVAL ASSISTANT

Accidentally spilled coffee on your silk blouse or got grass stains on your cotton pants? Our intelligent stain removal feature analyzes the stain type and fabric combination to provide step-by-step cleaning instructions. Get customized solutions with recommended materials, detailed removal steps, and warnings to avoid fabric damage.

The stain removal assistant covers all common stain types including oil, wine, ink, blood, grass, coffee, and more. Each solution is tailored to your specific fabric type to ensure safe and effective cleaning.

ASK AI ANYTHING ABOUT TEXTILES

Have questions about fabric care or textile identification? Our built-in AI chat assistant is ready to answer all your fabric-related queries. Get expert advice on garment care, textile properties, fabric comparison, and more.

KEY FEATURES

Advanced AI fabric identifier with photo analysis

Instant textile type recognition

Detailed fabric composition breakdown

Personalized care instructions for all fabric types

Smart stain removal guide with step-by-step solutions

Sustainability and eco-friendly ratings

Durability assessment and lifespan estimation

Season and occasion recommendations

AI chat assistant for textile questions

Scan history to track all your analyzed fabrics

Favorites to save important fabric analyses

Support for multiple photo analysis

WHO IS FABRIC SCANNER FOR

Fashion Designers: Quickly identify textile samples and understand fabric properties for your designs.

Tailors and Seamstresses: Get accurate fabric identification to recommend proper care to clients.

Vintage Clothing Collectors: Identify unknown fabrics in vintage pieces and learn proper preservation techniques.

Eco-Conscious Consumers: Check sustainability ratings and make informed purchasing decisions.

Laundry Professionals: Access precise stain removal techniques for different fabric and textile combinations.

Everyday Users: Finally understand what your clothes are made of and how to care for them properly.

https://alperennndalkilic-bit.github.io/fabricid/terms-of-use.html

https://alperennndalkilic-bit.github.io/fabricid/privacy-policy.html