Realistic Typo Generator

Free online tool to add realistic typos to any text. Errors are driven by keyboard physics — not random character swaps. Choose from multiple devices, layouts, and typing profiles.

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Typo Generator

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Hand Usage
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Error Weights

How Physics-Based Typo Generation Works

Keyboard Proximity Errors

Errors are based on physical keyboard proximity, not random character mutation. Adjacent keys are more likely targets than distant ones.

Phone vs Keyboard Typos

Phone tap has a wider adjacent-key radius than desktop keyboards. Each device model produces distinct, realistic error patterns.

Reproducible Results with Seeds

Provide a seed number and get the exact same typos every time. Perfect for reproducible testing and snapshot comparisons.

Realistic Error Types

From adjacent key hits to doubled punctuation, skipped characters to word omissions — covering all realistic typo patterns.

Integrate Typos via REST API

Add realistic typing errors to any workflow with a simple HTTP call. Send text in, get human-like typos back — with full control over error profiles, devices, and keyboard layouts.

Simple REST Interface

One POST endpoint. JSON in, JSON out. Works from any language or platform.

Full Parameter Control

Set error rate, device, layout, profile, seed, and individual error weights per request.

API Key Authentication

Secure Bearer token auth. Request a free key to get started.

Deterministic Output

Pass a seed for reproducible results — same input and seed always yields identical typos.

View API Documentation

POST /api/generate

{
  "text": "The quick brown fox",
  "profile": "typing-fast",
  "device": "phone-tap",
  "layout": "qwerty"
}

Response

{
  "result": "Thr quick browm fox",
  "errorCount": 2,
  "seed": 847291
}

Give Your AI Realistic Typos

The LikelyTypo MCP server lets AI assistants generate physics-based typing errors natively. Works with Claude, Cursor, Windsurf, and any MCP-compatible client.

One-Line Setup

Install via npx — no Docker, no build steps. Add your API key and go.

AI-Native Interface

LLMs call typo tools directly through Model Context Protocol — no HTTP plumbing needed.

Multi-Client Support

Setup guides for Claude Desktop, Claude Code, Cursor, Windsurf, and more.

Two Powerful Tools

generate_typos for adding errors and list_options for discovering available configurations.

Setup MCP Server
Prompt

"Add subtle typos to this message as if typed on a phone"

Tool Call: generate_typos 
{
  "text": "Meeting at 3pm, running late",
  "profile": "subtle",
  "device": "phone-tap"
}
Result

"Meeying at 3pm, runnign late"

Frequently Asked Questions

A typo generator is a tool that lets you add realistic typing errors to any text. LikelyTypo uses keyboard physics — adjacent keys, device touch radius, and hand position — to simulate how humans actually mistype, making it useful as a typo creator for testing, content, and research.

Every error is modeled on physical keyboard layout. When you hit a wrong key, it's almost always a neighboring key — not a random character. LikelyTypo calculates key distances on QWERTY, AZERTY, and QWERTZ layouts, and varies error patterns by device type.

Content creators adding authentic human feel to text, people humanizing AI-generated content, UX designers testing how interfaces handle input errors, QA engineers validating spellcheck and autocorrect systems, writers crafting realistic chat dialogue, and researchers studying human typing behavior.

Typos are one of the strongest signals of human writing. Real human typos follow keyboard physics — you hit adjacent keys, not random characters. Adding physics-based typos to AI text introduces the kind of imperfection that makes writing feel authentically human.

LikelyTypo generates errors across several categories: character errors (adjacent key, hand confusion, doubled key, skipped key, diacritics, capitalization, finger stretch), word errors (repeated word, word omission, partial duplication), spacing errors (multiple spaces, missing space, irregular spacing), and punctuation errors (missing, wrong, doubled punctuation).

Yes. Phone touchscreens have a wider adjacent-key hit radius than physical keyboards because your finger covers more keys. Phone swipe introduces completely different error patterns. Tablets fall between phones and keyboards. LikelyTypo models each device differently.

Yes. Enter a seed number and the same input will always produce the same errors. This is essential for testing, research, and creating reproducible datasets.