AI Zero-Shot Text Classifier
Classify any text into custom categories using AI — no training data needed. Define your own categories and the AI determines which ones best match your text. Runs entirely in your browser. Free, private, no upload.
Zero-Shot Text Classification — No Training Required
Traditional text classifiers require hundreds or thousands of labeled examples to train. Zero-shot classification is different: you simply describe the categories you want, and the AI model determines which categories best match your text. No training data, no fine-tuning, no machine learning expertise needed.
This tool uses a DeBERTa-based Natural Language Inference model running via Transformers.js directly in your browser. It works by evaluating the relationship between your text and each category label, then ranking them by confidence score.
How Zero-Shot Classification Works
- Step 1: You provide text and define any categories you want
- Step 2: The model evaluates: "Does this text entail the category label?"
- Step 3: Each category gets a confidence score (0-100%)
- Step 4: Results are ranked from most to least relevant
Real-World Use Cases
Email sorting: Classify incoming emails as "urgent", "informational", "action required", or "spam" without building custom filters. Content moderation: Flag content as "appropriate", "offensive", "political", or "promotional". Support ticket routing: Automatically categorize tickets as "bug report", "feature request", "billing question", or "complaint". Research: Categorize survey responses, social media posts, or interview transcripts into themes you define.
Genuinely Unique — No Other Free Tool Offers This
While there are many text analysis tools online, zero-shot classification is rarely offered for free — and almost never as a browser-based tool. Most implementations require API keys, cloud services, or Python programming knowledge. This tool brings state-of-the-art NLI-based classification to anyone with a web browser.
Define Any Categories You Want
The power of zero-shot classification is that categories are completely flexible. You can classify a product review as "positive/negative/neutral", a news article by topic, a resume by job function, or a customer message by intent. Use the preset chips for common use cases or type your own comma-separated categories.