Introduction

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Key Features

• Math Recognition: accurate detection of digits (0-9) and operators (+, -, *, /, =).
• Auto-Training: The library can train its own lightweight CNN model in the browser using bundled sample data. Zero server configuration required.
• Expression Evaluation: Automatically parses recognized characters into valid mathematical expressions and calculates the result.
• Stroke Management: Built-in tools for capturing, storing, and manipulating handwriting strokes.
• TypeScript Support: Fully typed for a robust development experience.

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Installation

npm install @impulsedev/ink

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Quick Start

import { Ink } from '@impulsedev/ink';

// Initialize Ink
// By default, this starts the auto-training process in the background
const ink = new Ink();

// Wait for the model to be ready (trains or loads)
await ink.loadModel();

// ... (Integration with your canvas to capture strokes) ...

// Recognize the current drawing
const result = await ink.recognize();

if (result.valid) {
  console.log(`Expression: ${result.expression}`); // Output: "2 + 2"
  console.log(`Result: ${result.result}`);         // Output: 4
}