AI Data Classifier
Classify and tag your data with custom categories using on-device AI. No signup, no data uploaded — everything runs in your browser.
Uses a ~90 MB AI model (cached after first download) for high-accuracy zero-shot classification.
Comma-separated list of category labels
Maximum 100 rows. Paste text data, CSV rows, or any text to classify.
Results
| # | Text | Category | Confidence |
|---|
Ready to automate?
Automate classification across millions of rows — connect your data sources to SimpleDataFoundry and apply AI-powered tagging to your pipelines.
Frequently Asked Questions
How does the AI classification work?
This tool uses a zero-shot classification model (DeBERTa) that runs entirely in your browser via WebGPU or WebAssembly. You provide custom category labels and the AI predicts the best-fit category for each data row without any pre-training on your specific categories.
Is my data sent to any server?
No. The AI model is downloaded once to your browser and cached. All classification happens locally on your device. Your data never leaves your browser.
What happens if my browser doesn't support WebGPU?
The tool automatically falls back to WebAssembly (WASM) for AI inference. If that also fails, it uses a keyword-matching algorithm that works on any browser without downloading a model.
How many rows can I classify at once?
The tool supports up to 100 rows per batch. AI mode processes 1-3 rows per second depending on your hardware. Basic mode (keyword matching) is instant for any number of rows.
Can SimpleDataFoundry classify data at scale?
Yes. SimpleDataFoundry connects to your data sources and applies classification, tagging, and enrichment rules to millions of rows automatically as data flows through your pipelines — no manual work needed.
What types of data can I classify?
Any text data: customer feedback, support tickets, product descriptions, social media posts, survey responses, email subjects, and more. The AI works with any language, though English yields the best results.