What are text embeddings and how are they used?

Text embeddings are numerical vector representations of text that capture semantic meaning. They're used in AI applications like semantic search, recommendation systems, chatbots, and similarity analysis.

Can I use these embeddings for commercial AI projects?

Yes, our text embedding generator is free for both personal and commercial use, including AI startups, research projects, and enterprise applications.

What AI models power the embedding generation?

Our tool uses state-of-the-art transformer models optimized for generating high-quality semantic embeddings suitable for various NLP and machine learning tasks.

How accurate are the generated embeddings?

The embeddings maintain high semantic accuracy and are comparable to industry-standard models, making them suitable for production AI applications.

AI Text Embedding & Similarity

Advanced text analysis using Google's Gemini AI. Generate high-dimensional embeddings and calculate semantic similarity between texts with multiple distance metrics.

Gemini AI Powered

Uses Google's latest embedding model for accurate semantic understanding

Multiple Metrics

Cosine, Euclidean, and Manhattan distance calculations

Privacy First

Secure processing with no data storage or tracking

Choose Analysis Mode

Configuration Options

Output Dimensions

Similarity Method

Input Texts

Add at least 2 texts to compare

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How to Use

Choose Mode

Select whether to generate embeddings, compare texts, or perform advanced similarity analysis

Configure & Input

Set output dimensions, similarity methods, and add your texts for analysis

Analyze & Export

Get detailed results and download complete analysis as JSON with metadata