Upload a CSV or paste URLs. Let AI extract and normalise tags. Review, refine, and export — without touching a spreadsheet formula.
| item_name | canonical_tag_1 | canonical_tag_2 | canonical_tag_3 |
|---|---|---|---|
| Wooden Pull Duck | wooden-toy | ages-1-3 | pull-along |
| Lego City Set 60374 | construction-toy | ages-6-plus | lego |
| Plush Rainbow Rabbit | soft-toy | ages-0-3 | washable |
CategRise handles the heavy lifting. You just steer the result.
Upload a CSV or paste a list of URLs. Map columns to item names, IDs, and any extra fields you want preserved in the export.
Our LLM pipeline reads each item and emits raw candidate tags. A pre-normalisation pass clusters near-duplicates and flags noise.
Browse the interactive tag cloud. Approve suggestions, merge variants, delete noise tags — or trigger a constrained re-run with your rules locked in.
Download a clean CSV with one canonical tag per column, or multi-value delimited. Ready for your database, PIM, or BI tool.
If you manage catalogues, job feeds, reviews, or training records — CategRise speaks your language.
Import thousands of toy SKUs from your PIM or a CSV export. CategRise extracts age ranges, material tags, play-theme categories and safety certifications — then normalises messy variants like “3–5 yrs” / “ages 3+” into a single canonical form.
Example
Raw input
“Wooden pull-along duck, hand-painted, FSC certified”
Canonical tags out
Feed a recruiter’s CV pipeline or a job-board RSS feed into CategRise. The AI infers skill taxonomies, seniority levels, and role families — then merges near-duplicates (‘JavaScript’ / ‘JS’ / ‘Node.js frontend’) into a coherent tag set you can filter on.
Example
Raw input
“Senior React engineer, 8 yrs exp, FinTech, remote-first”
Canonical tags out
Paste a hotel's amenity list or a batch of guest reviews. CategRise extracts structured amenity tags, sentiment signals, and review themes — giving your search and recommendation engine a consistent vocabulary across hundreds of properties.
Example
Raw input
“Rooftop infinity pool, valet parking, Michelin chef restaurant”
Canonical tags out
Flying schools manage dozens of course types, aircraft variants, and regulatory ratings. CategRise maps unstructured course descriptions to a consistent taxonomy of licence types, aircraft categories, and training phases — ready for scheduling and compliance exports.
Example
Raw input
“Night VFR cross-country in C172, CASA Part 61 compliant”
Canonical tags out
Most AI taggers give you a dump of raw labels. CategRise adds a human-in-the-loop review layer so you ship quality, not chaos.
Tell the AI what matters for your domain — tag taxonomy, preferred vocabulary, noise rules — and it follows your lead on every job.
Lock in your approved rules, then trigger a second AI pass. The model re-tags with your constraints baked in — no manual correction loop.
Export exactly the shape your downstream system needs: one tag per column, multi-value delimited, or a long-format pivot — your choice.
One transparent fee structure for every team size. Only pay when you run a job.
+ $0.01 per item extracted
Volume discounts, dedicated infrastructure, and SLA
Pricing is indicative and subject to change. Final rates confirmed at checkout when Stripe is live.
Create an account and run your first job for free. No credit card required.
Create free account