Text Embedder

Generate text embeddings using Transformers.js. Run state-of-the-art embedding models directly in your browser with no server required. Perfect for semantic search, similarity matching, and AI applications.

Select Embedding Model

Models are loaded from HuggingFace on first use and cached in your browser

Input Text

Embedding Vector

Enter text and click "Generate Embedding" to see the vector representation

What are Text Embeddings?

Text embeddings are numerical vector representations of text that capture semantic meaning. Similar texts produce similar vectors, making embeddings perfect for semantic search, similarity matching, clustering, and as input to machine learning models. Each dimension in the vector represents a learned feature of the text.

How does it work?

This tool uses Transformers.js to run embedding models directly in your browser. Models are loaded from HuggingFace on first use and cached locally using IndexedDB. No data is sent to any server - everything happens locally in your browser. The models use WebAssembly for efficient computation.

Use Cases

Semantic Search: Find documents similar to a query based on meaning, not just keywords
Similarity Matching: Compare texts to find the most similar ones
Clustering: Group similar texts together
Recommendation Systems: Find content similar to what users like
AI Applications: Use embeddings as input to neural networks

Privacy & Security

All processing happens locally in your browser. Your text never leaves your device or touches any servers. Models are downloaded from HuggingFace and cached locally, so subsequent uses are faster and work offline after the first download.