Library for image processing zero dependencies

Library for image processing

Face verification library for React Native — compares a reference image against a live front-camera capture using ML Kit quality checks and AWS Rekognition or a custom endpoint

MCP server for toorPIA embedding analysis: deterministic dimensionality reduction and anomaly detection for embedding vectors

A simple selfie library

A comprehensive blur detection library for images and PDFs that works across all JavaScript frameworks

A port of the perceptualdiff image comparison (pdiff.sourceforge.net), and adding some additional features

Turn a video into a lean, deduplicated, high-quality set of frames — ideal for feeding vision LLMs within a token budget

Simulation iterators.

Intelligent blur detection for RAW camera files. Perfect for wildlife and aviation photographers.

JavaScript Extreme Learning Machine (ELM) library for browser and Node.js.

An intelligent visual discrepancy and layout feedback engine for AI Coding Agents.

Module to transform ngraph.graph into matrix representation

Shared on-device image quality scoring logic for DrishtiAI Capture SDK (platform-agnostic TypeScript reference implementation)

use sparse matrices and pipes with the lib.

Intent Tensor Theory -- Field-based compute substrate replacing SQL. JS client for the ITT API.

High-performance, no-reference image quality assessment for Node.js (BRISQUE + heuristics via Rust/N-API)

A library for spectral graph theory.

RAW photo classifier with technical quality scoring - analyze, score, and organize your photos

An n8n package that provides access to OpenCV operations via OpenCV.js