Domain Categorizer
Group domains by industry, topic, and name type. Inspect the classifications and export your results.
Your classification
See how your names are grouped.
Review the industries and naming types in your list. Select a group to inspect its domains, then export exactly the names you need.
- Industries and topics
- See the category and matching keywords behind each name.
- Confidence
- Separate strong matches from names that need a closer look.
- Naming types
- Review brandable names and other non-industry classifications.
About Domain Categorizer
How do I categorize a list of domains by industry?
The Domain Categorizer sorts up to 50,000 domains into industry verticals and subcategories, and labels each name’s form: industry term, brandable, personal name, geographic, acronym or numeric, dictionary phrase, or foreign. Every call shows the keywords that triggered it and a confidence level, so you can check the reasoning. Results export to CSV.
How to use it
- Paste domains separated by new lines, commas, or spaces. URLs are trimmed to the domain and duplicates removed.
- Complete the quick verification.
- Review the distribution by industry, subcategory, and type, then the table of individual calls.
- Export to CSV, or load the list into Portfolio Summary.
Data and limits
- How it works
- A keyword lexicon and a name-type classifier. No AI model, so the same list always gets the same result.
- Limits
- Up to 50,000 domains per run.
- Cost
- Free. No account.
Questions
How does domain categorization work?
Each name is split into words, and the words are matched against a lexicon of industry terms. The best-supported vertical and subcategory win, and the matched words are shown as the reason. Names with no industry words are labeled by form instead, such as brandable or personal name.
Why is a name marked No industry?
None of its words match an industry term. Brandables and personal names often land here. The Type column still tells you what kind of name it is.
Does the categorizer use AI?
No. It is rule-based, which makes it fast on large lists and repeatable.