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Classify Anything LogoClassify Anything

Turn Chaos into Clarity in Seconds

You're 3 steps away from effortless organization:

  1. Define your categories
  2. Upload your content
  3. Let AI do the heavy lifting

Sign up to unlock the full potential of our platform. Terms & Conditions

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Classify Your Text and Images, Your Way ??

Use AI to organize your content with categories that make sense to you. Rate student papers, see if a room is neat and organized, visually inspect product images, or anything else you might want to do.

Text classification based on your criteria

????? User: Customer Support Manager

?? Goal: Classifying customer feedback for product improvement

??? User-Defined Classification Criteria:

  • ?????? Sentiment: Positive, Neutral, Negative
  • ??? Feature Mentioned: UI, Performance, Reliability, None
  • ?? Action Required: Urgent Fix, Feature Request, No Action

?? Customer Feedback:

"I've been using your app for a month now, and while I love how intuitive the interface is, I'm frustrated by how often it crashes when I'm in the middle of an important task. It's really impacting my productivity. Please fix this ASAP!"

?? AI Classification:

  • Sentiment
    ?? Mixed (Positive about UI, Negative overall)
  • Features Mentioned
    ??? UI, ?? Reliability
  • Action Required
    ?? Urgent Fix

?? Key Takeaway:

"While the user appreciates the intuitive UI (??), frequent crashes are causing significant frustration (??). This reliability issue requires immediate attention (??) to prevent customer churn and improve overall satisfaction."

Image Classification, Your Way

User Story

Meet Captain Ahab, who manages a fleet of charter boats. He's constantly struggling with time-consuming bilge inspections across multiple vessels. Manual checks are inconsistent, and missed issues can lead to costly repairs or safety hazards. Ahab needs a quick, reliable way to assess bilge conditions, identify potential problems, and prioritize maintenance tasks across his fleet.

Bilge image 1
?? Pump: Found
??? Switch: Found
?? Debris: Medium High
Bilge image 2
?? Pump: Found
??? Switch: Not Found
?? Debris: Low
Bilge image 3
?? Pump: Found
??? Switch: Found
?? Debris: Medium Low

These categories are just examples. You define the categories that matter in your use case!

With our AI-powered image classification tool, Captain Ahab can now quickly assess bilge conditions across his fleet. By uploading photos from routine checks, he gets instant, consistent evaluations of pump presence, switch status, and debris levels. This allows him to prioritize maintenance efficiently, reducing downtime and preventing potential issues before they escalate into costly problems.

How It Works:

1. Set Your Categories

Tell us what you're classifying and what categories you want to use. You can type them in or upload a CSV or JSON file with your custom categories.

2. Provide Examples (Optional)

Give us some pre-classified examples to help our AI understand your categories better. For complex classifications, more examples help. For simple ones, you might not need any!

3. Start Classifying

Upload your texts or images, and watch as our AI organizes them into your custom categories in seconds!

Why Choose Classify Anything?

Smart AI

You tell us what you need to classify and how, and we'll make it happen using our AI.

Easy to Use

You don't have to be an IT expert to use it - just tell us what you need.

Flexible

From product reviews to research papers, classify any text or image using categories that matter to you.

More Examples

Maya, Coffee Roastery Owner

Classify coffee bean inventory

"Ethiopian Yirgacheffe, light roast. Bright acidity with notes of lemon, bergamot, and jasmine. Roasted on 05/15/2024. Customer feedback consistently mentions 'surprisingly tea-like'."

?? Origin: Ethiopia, Yirgacheffe (100%)
?? Roast Level: Light (95%)
?? Primary Flavor Note: Citrus (85%)
?? Unexpected Quality: Tea-like (70%)
?? Customer Satisfaction: High (90%)

Marcus, Vintage Clothing Store Owner

Classify and price vintage clothing

"1950s polka dot swing dress, excellent condition. Vibrant colors, original buttons intact. Label reads 'Made exclusively for Bloomingdale's'. Slight scent of mothballs and rock 'n' roll."

?? Era: 1950s (100%)
?? Condition: Excellent (90%)
?? Rarity: Moderate (65%)
?? Style: Swing Dress (100%)
?? Estimated Value: $180-$220
?? Rock 'n' Roll Aura: Detectable (30%)

Zoe, Workspace Optimization Consultant

Classify home office setups

"Client 089: Home office in converted closet. Standing desk, ultrawide monitor, mechanical keyboard. Lighting: Single overhead LED. Background: Blank white wall. Cat makes frequent appearances. Client complains of neck strain and 'feeling like a vampire'."

?? Space Utilization: Cramped (30%)
??? Tech Setup: Advanced (85%)
?? Lighting Quality: Poor (20%)
?? Background Professionalism: Neutral (60%)
?? Pet Interruption Frequency: High (80%)
?? Ergonomics: Problematic (40%)
?? Vitamin D Deficiency Risk: Elevated (70%)

Mia, AR Content Strategist

Classify AR experiences for museum exhibits

"Paleontology Wing, T-Rex Exhibit: AR overlay shows full skeleton assembly animation. Users can 'feed' the T-Rex and hear realistic roars. Educational pop-ups about diet and habitat. Some children reported nightmares, most adults say 'cool, but wanted more blood'."

?? Educational Value: High (90%)
?? Wow Factor: Significant (85%)
?? Age Appropriateness: 10+ (70%)
?? Audio Impact: Strong (80%)
?? Interactivity Level: Moderate (65%)
?? Information Retention Aid: Effective (75%)
?? Nightmare Fuel Quotient: Moderate (50%)

Alex, Digital Audio Advertising Specialist

Classify podcast episodes for ad matching

"Episode 42 of 'Tech Talks Tomorrow': Discussion on the ethics of AI in healthcare. Guest: Dr. Sarah Chen, AI Ethics Professor. Listener comments mention 'mind-blowing', 'scary future', and 'need to update my will'."

?? Primary Topic: Healthcare (90%)
?? Tech Focus: AI (100%)
?? Emotional Tone: Thought-provoking (85%)
?? Target Demographic: Tech-savvy professionals (80%)
?? Ideal Ad Spots: 7:35, 23:10, 41:50
?? Blacklist Categories: Fast Food, Gambling
?? Potential Advertisers: Health Insurance, Online Courses, Password Managers

Liam, Circular Economy Specialist

Classify clothing items based on sustainability

"Women's denim jacket, 80% recycled cotton, 20% organic cotton. Water usage: 60% less than industry standard. Buttons: Recycled metal. Dyes: Low-impact, natural. Made in a factory using 100% renewable energy. Designed for disassembly."

?? Recycled Content: High (80%)
?? Organic Materials: Present (20%)
?? Water Efficiency: Excellent (90%)
?? Production Ethics: High (95%)
?? Dye Impact: Low (85%)
?? Circular Design: Excellent (95%)
?? Overall Sustainability Score: 88/100

Ready to Start Classifying? ??

Sign up now and get your first 5 classifications for free!

Simple Pricing

Free Plan

Free

  • Create one classifier
  • Classify up to 5 items (images or text)
  • Export results in Excel or CSV

Pro Plan

$39.90/month

  • 1000 classifications per month
  • Text and image classification
  • Custom categories for each of your classifiers
  • Up to 10 different classifiers

Need more? Contact us for custom plans.

Classify Anything - Classify anything based on your instructions | Product Hunt
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