3.9 / 5

Drawing Coach

Real-time feedback on your sketches as you draw

Useful

Real-time

Privacy

The Problem

Learning to draw requires feedback that's hard to get without classes or teachers

Current Solutions (Not Great)

Art classes (expensive, scheduled), YouTube tutorials (no feedback), practice and hope

Who Needs This

Beginning artists, hobbyists, art students, people who 'can't draw'

Learning to draw is hard because feedback is delayed—you finish a drawing and then see what's wrong. Drawing Coach watches your strokes in real-time and offers guidance as you work: 'The eye is a bit too high', 'The perspective lines aren't converging', 'Nice shading on that curve'. It's like having an art teacher looking over your shoulder, but infinitely patient and available at 2am. Practice exercises adapt to your weak points.

Honest Take

This is a blue ocean compared to the coding assistants. Art education is underserved by AI tools and the real-time feedback angle is genuinely novel. Technical challenge is the vision model quality—bad feedback will destroy trust. Proko and Drawabox have loyal communities you could tap into.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

Subscription

$5-29/month or $49-199/year

One-Time Purchase

$9-49 per license

Features

Key features that make this app valuable

Real-time stroke analysis
Proportion and symmetry feedback
Perspective guidance
Reference image comparison
Guided exercises (draw this shape/object)
Progress tracking by skill
Weak point identification
Optional: camera mode for paper drawing

Build Prompt

Use this prompt with an AI assistant to start building

Build a React PWA called 'Drawing Coach' using WebInfer with vision capabilities. UI: split view with canvas (drawing area) and reference image (optional), feedback panel below. Track all strokes via Pointer Events on canvas (record points, pressure, timing). Analysis triggers: after stroke ends + 500ms pause, or on explicit 'Check' button. For canvas analysis, capture as image, send to vision model with reference (if any). Use generateObject to return { overallProgress: number, proportionIssues: [{ area: string, issue: string, suggestion: string }], strokeQuality: { lineConfidence: number, consistency: number }, comparedToReference: { accuracy: number, differences: string[] }, encouragement: string, nextFocus: string }. Display feedback as overlay hints (arrows pointing to issues) and text panel. Exercise mode: 'Draw a circle', 'Copy this simple face', 'Sketch these 3D forms'. Track improvement over time by skill (proportions, lines, shading, perspective). Camera mode: getUserMedia for webcam pointed at paper, periodic capture and analysis.

Score Breakdown

Pain