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Categorize Your Patents Instantly

Turn complex patent lists into organized, actionable insights with AI-powered classification that saves hours of manual analysis.

Enter Patents to Categorize

We'll use the first column for categorization. Make sure your CSV has headers.

CSV Format Example:

Item,Other Data
Apple,Red fruit
Banana,Yellow fruit
...

Define Your Categories

Enter your own categories or let our AI suggest categories for you.

These options only apply when using the "Generate Categories" button

(2-20)
Provide specific guidance about the types of categories you want
Using AI to analyze patterns in your data and assign the most relevant categories

Why Categorize Patents?

Simplify Patent Analysis

Transform lengthy patent lists into organized categories that highlight technology clusters and innovation patterns.

Strengthen IP Strategy

Identify gaps and opportunities in your patent portfolio by understanding the distribution across different technical categories.

Competitive Intelligence

Quickly analyze competitor patent activities to monitor their innovation focus and anticipate market movements.

How to Categorize Patents

1

Input Patents

Enter your patents one per line in the text input form or import a CSV file with your data.

2

Define Categories

Let our AI suggest relevant categories based on your data or create your own custom categories.

3

Process & Analyze

Our AI analyzes and categorizes each patent automatically. View charts, sort by category, and export as needed.

Best Practices for Categorization

Clean Your Data

Remove duplicates and ensure your patents are complete before categorizing

Clear Categories

Use specific, non-overlapping categories for more accurate results.

Describe Categories

For tricky cases, fill in the optional description field to help the model understand what you want in each category.

Who Should Use This Tool

IP Professionals

Efficiently organize patent portfolios to identify strengths, gaps, and opportunities for licensing or development.

R&D Managers

Map competitive patent landscapes to guide research direction and identify white space opportunities.

Innovation Officers

Analyze patent portfolios to align innovation strategy with market trends and business objectives.

Frequently Asked Questions

Is Category Wizard really free to use?

Yes! All our categorization tools are completely free to use with no hidden fees or limits.

How accurate is the AI categorization?

Our AI typically achieves 90-95% accuracy for most use cases. The system uses advanced language models to understand context and meaning.

What types of patents can I categorize?

You can categorize any text-based patent descriptions including utility patents, design patents, plant patents, and patent applications from any jurisdiction or technical field.

Can I export the categorized data?

Yes! You can export your results as CSV, copy to clipboard, or print them for further analysis.

Is my data secure?

Your lists are always kept totally anonymous, and we don't store them after processing. We use a large language model to process them securely.

The Complete Guide to Categorizing Patents: Unlocking Strategic Insights from Your Portfolio

Effective patent categorization transforms unstructured patent data into actionable intelligence, revealing patterns, competitive insights, and innovation opportunities that would otherwise remain hidden.

Patent portfolios represent significant business assets, but their true value is only realized when properly organized and analyzed. Whether you're managing your company's intellectual property, conducting competitive intelligence, or researching technology landscapes, categorizing patents is an essential skill that reveals critical insights about technology trends, competitive positioning, and innovation opportunities.

Why Patent Categorization Matters

Patent categorization transforms raw patent data into structured, actionable intelligence. While patent offices assign classification codes, these standardized taxonomies often don't align with your specific business needs. Custom categorization allows you to group patents in ways that directly answer your strategic questions:

Strategic Benefits
  • Identify technology gaps and innovation opportunities
  • Uncover competitor focus areas and investment trends
  • Support portfolio management decisions
  • Focus R&D investments in promising areas
  • Strengthen patent litigation positions
Operational Benefits
  • Streamline portfolio management workflows
  • Simplify licensing negotiations
  • Accelerate prior art searches
  • Enhance collaboration across technical teams
  • Facilitate more effective patent attorney briefings

Approaches to Patent Categorization

There are several approaches to categorizing patents, each with distinct advantages depending on your goals:

Categorization Approach Best For Limitations
Technical Function (what the invention does) R&D teams, prior art searches, identifying technical capabilities May miss business implications or market applications
Commercial Application (how it's used in market) Business strategy, product planning, licensing opportunities Can overlook technical similarities across different applications
Problem-Solution (issues being addressed) Innovation strategy, identifying unaddressed market needs Sometimes difficult to standardize across diverse technologies
Competitive Landscape (relative to competitors) Strategic planning, M&A targeting, competitive intelligence Requires ongoing updates as competitive landscape changes
Technology Maturity (development stage) Portfolio valuation, R&D roadmapping, investment planning Subjective assessments can vary between evaluators

AI-Powered Patent Categorization: The Next Evolution

Artificial intelligence is revolutionizing patent categorization by analyzing patent text at scale, identifying subtle patterns, and suggesting optimal categories that human analysts might miss. AI-powered categorization offers several advantages:

Speed & Scale

Categorize thousands of patents in minutes instead of weeks or months of manual work.

Pattern Recognition

Uncover non-obvious relationships and clusters that traditional methods might miss.

Customization

Adapt categorization schemes to your specific business goals through advanced options.

Step-by-Step Guide to Effective Patent Categorization

1. Define Your Objectives

Start by clarifying what questions you're trying to answer through patent categorization:

  • Are you trying to identify white space in a technical field?
  • Do you need to understand competitive positioning?
  • Are you preparing for licensing negotiations?
  • Are you conducting due diligence for acquisition?

Your objectives will determine your categorization approach and category structure.

2. Gather Your Patent Data

Compile your patent list in an accessible format. Our tool accepts:

  • Patent numbers separated by line breaks
  • CSV files with patent numbers in the first column
  • Patent titles alongside numbers for easier reference

For best results, ensure your data is clean, with consistent formatting for patent numbers.

3. Establish Your Categories

You can approach category creation in two ways:

Manual Category Definition

Create your own categories based on your expertise and objectives. This works well when:

  • You have a specific categorization scheme in mind
  • You need to match existing business categories
  • You're working with a familiar technology domain
AI-Generated Categories

Let AI analyze your patents and suggest optimal categories. This excels when:

  • You're exploring unfamiliar technology areas
  • You want to discover non-obvious patterns
  • You need an unbiased categorization approach
Pro Tip: When using AI-generated categories, utilize the Advanced Options to fine-tune your results. Set minimum and maximum category counts and provide custom instructions about the types of categories you're interested in (e.g., "focus on technological functions" or "prioritize commercial applications").

4. Execute the Categorization

Once your patents and categories are defined, run the categorization process. Our tool will analyze each patent's full text, claims, and available metadata to make optimal category assignments. For large portfolios, consider:

  • Breaking analysis into logical segments (by filing year, technology area, etc.)
  • Running separate analyses with different categorization approaches
  • Iteratively refining categories based on initial results

5. Analyze and Iterate

The initial categorization results often reveal insights that prompt refinement:

  • Look for unusually large or small categories that might need splitting or combining
  • Identify patents that seem miscategorized and understand why
  • Consider adding subcategories to large groups for more granular analysis
  • Export results to CSV for deeper analysis in specialized tools

Best Practices for Patent Categorization

Balance Breadth and Depth

Aim for 5-15 top-level categories with potential subcategories. Too few categories won't provide useful distinctions, while too many create fragmentation.

Use Clear, Consistent Naming

Category names should be concise but descriptive enough that anyone in your organization can understand their meaning.

Allow Multi-Category Assignment

Many patents span multiple technical areas. Don't force patents into single categories if they genuinely belong in multiple groups.

Document Your Methodology

Record your category definitions and decision criteria. This ensures consistency in future categorization and helps new team members understand the system.

Turning Patent Categories into Strategic Action

The real value of patent categorization emerges when you translate the results into business action:

Compare your patent categories against your product roadmap to identify areas where IP protection is thin. This reveals where additional patent filings may be needed to protect future products.

Track shifts in competitors' patent categories over time to spot emerging technology focus areas and predict their future product directions before they're announced.

Identify patent categories that aren't core to your business but may have value to others. These represent opportunities for licensing revenue or patent sales.

Compare R&D spending by category against patent holdings in the same categories to ensure investment is creating valuable IP in strategic areas.

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