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.
How AI Zero-Shot Text Classifier Works
Classify any text into custom categories using AI. browser-only. No training data needed — zero-shot classification. Use the tool above to get your results instantly — everything runs in your browser with no data sent to any server.
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.
Frequently Asked Questions
What is zero-shot classification?
Zero-shot classification allows an AI model to categorize text into categories it has never been specifically trained on. You define the categories at runtime, and the model uses its understanding of language to determine which categories best match your text.
Do I need training data?
No. That is the "zero-shot" part. You simply type the category names you want and the model classifies your text. No labeled examples, no training, no machine learning expertise needed.
Is my text private?
Yes. The classification model runs entirely in your browser via Transformers.js. Your text is never sent to any server. You can verify by checking the Network tab in your browser developer tools.
What model does this use?
It uses DeBERTa V3 XSmall, a compact but powerful Natural Language Inference (NLI) model. It works by evaluating whether your text entails each category label.
How many categories can I use?
You need at least 2 categories. There is no strict upper limit, but the model works best with 2-10 clear, distinct categories. More categories means longer processing time.
Does it work offline?
Yes. After the initial model download (~80 MB), the model is cached and works without an internet connection.
Can I classify in other languages?
The model is primarily trained on English text. It may work for simple classifications in other languages but accuracy will be lower than for English.