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Analyze Unstructured Data Visually

Upload images, videos, CSV files, or text. Generate embeddings and explore your data through interactive clustering and visualization.

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Automatic Clustering

Organize your data using hierarchical clustering algorithms. Group similar items together and explore patterns at different levels of detail.

Multiple Data Types

Upload CSV files, images, videos, or text documents. Generate vector embeddings using OpenAI or Google Cloud AI and visualize everything on a unified map.

Images
Videos
CSV
Text

Share & Collaborate

Share projects with your team or generate public links. Set permissions for viewing, annotating, or uploading files.

User 1
User 2
User 3
User 4
Data Map
Share Link

How It Works

Three steps to start analyzing your data

STEP 01

Upload Data

Drag and drop images, videos, CSV files, or text documents.

STEP 02

Generate Embeddings

Choose an embedding model (OpenAI or Google Cloud AI) to convert your data into vectors.

STEP 03

Explore & Analyze

View your data on an interactive map. Cluster similar items, detect duplicates, find outliers, and add annotations.

Use Cases

Common applications for data visualization and clustering

Image Deduplication

Find and remove duplicate images in large datasets. Useful for cleaning photo libraries, e-commerce catalogs, or research data.

Video Analysis

Break videos into segments and find similar scenes or content patterns across your footage.

Document Organization

Group text documents by semantic similarity. Works with research papers, customer feedback, or any text corpus.

Outlier Detection

Identify unusual data points in your dataset. Useful for quality control or finding interesting anomalies.

Product Catalogs

Organize product images and descriptions by visual or semantic similarity.

Research Data

Explore relationships in multimodal research datasets with mixed content types.

About Induction Labs

A platform for analyzing unstructured data through embedding-based visualization

What We Do

Induction Labs helps you make sense of unstructured data by converting it into vector embeddings and visualizing it on an interactive 2D map. Upload your images, videos, CSV files, or text documents, and explore patterns through clustering, duplicate detection, and outlier analysis.

For Researchers

Explore large datasets, find patterns, and annotate your findings with a visual interface designed for data analysis.

For Teams

Share projects with colleagues using role-based permissions. Collaborate on data annotation and analysis.