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AI Git Commit Generator | Generate Conventional Commit messages

Describe what you changed and get a conventional-commit message — summary and body formatted to standard length rules. Write better commit history in seconds, without reading the diff aloud.

Last updated: June 2026 · Free · No sign-up required

Paste the output of git diff or just briefly describe what you changed.

terminal
Git Commit Message Generator

Paste your code changes on the left to generate a clean, standard commit message.

How to Generate a Commit Message

Stop staring at the terminal wondering what to write. Follow these steps:

  • Paste Your Diff: Run git diff in your terminal and paste the output directly into the tool. Alternatively, you can just describe your changes (e.g., “fixed login bug and updated button color”).
  • Generate: Click the button to let the AI analyze the changes.
  • Copy and Commit: The tool will output a clean commit message following the Conventional Commits specification (feat, fix, docs, chore, etc.). Copy it and use it in your next commit!

The Importance of Good Commit Messages

A well-maintained Git history is crucial for team collaboration and project maintenance. Standardized commit messages make it easier to track changes, automatically generate changelogs, and understand why a specific code change was made months down the line. Our AI ensures every commit in your repository is professional and descriptive.

Quick reference

TypeUsed for
feata new feature
fixa bug fix
refactorcode change without behaviour change
docsdocumentation only
chorebuild, deps, tooling

Interpretation guide

Good commit hasWhy
Imperative summary ≤50 charsReadable in git log
Type prefixConventional Commits / changelogs
Body explaining whyContext for reviewers

Formula & methodology

Formula: Convention: type(scope): short imperative summary — followed by an optional body

The AI Git Commit Message Generator is built on a well-established calculation method. It uses the formula Convention: type(scope): short imperative summary — followed by an optional body to turn your inputs into a reliable result. The AI Git Commit Message Generator is a free developer utility that automates one of the most tedious parts of software development: writing clear, descriptive commit messages. By analyzing your code changes (git diff) The steps are shown on the page so you can follow the reasoning from input to output.

The generator reads your code diff or change description and writes a commit message that follows the Conventional Commits style.

  1. Paste your git diff or describe the change.
  2. The AI infers the type (feat, fix, etc.) and a concise summary.
  3. It adds a short body explaining what and why when useful.
  4. Copy the message into git commit.

Worked example: A diff adding login validation becomes: feat(auth): validate email and password on login.

Authoritative source: MDN Web Docs

Frequently asked questions

How does an AI commit message generator work?
Enter the required values into the input fields and press the calculate button. The tool applies the formula Convention: type(scope): short imperative summary — followed by an optional body and returns the result with a short explanation of each step, so you can check the working yourself.
What are Conventional Commits?
The AI Git Commit Message Generator is free, private, and accurate: it runs entirely in your browser (no uploads, no accounts), applies the standard calculation, and explains each step so you can verify the result. The AI Git Commit Message Generator is a free developer utility that automates one of the most tedious parts of software development: writing clear, descriptive commit messages. By analyzing your code changes (git diff) or a brief description of your work, There is no limit on usage, and it works on any device.
How long should a commit summary be?
Keep the summary under 50 characters, ideally 30–45 — short enough for git log to display fully. The format follows the convention: type(scope): short imperative summary, like 'fix(auth): handle token expiry'. The body, when needed, explains the why at up to 72 characters per line. The generator follows these limits automatically.
Can it read my git diff?
No — for privacy the generator works from the summary you paste (changed files, key changes, or the diff snippet you choose to share), because sending the full diff to an AI service can expose proprietary code. The generator is optimized to produce a good commit message from your brief description. If you need diff-driven messages, use a local tool that analyzes the diff without uploading it.
Why do good commit messages matter?
Commit messages are the project's history and documentation: six months later, 'fix: handle token expiry' tells you what and why far better than 'updated stuff'. They enable git bisect, code review, and changelog generation, and they make release notes practically free. The conventional-commit format the generator follows also enables automated versioning and semantic releases.
What do the type and scope in a commit message mean?
The type is a fixed vocabulary — feat, fix, docs, style, refactor, test, chore — naming the kind of change. The scope names the affected area, like (auth) or (checkout). So "fix(auth): expire sessions on password change" states the category, area, and change in one line.
Why the 50/72 character rules?
Fifty characters keeps the summary readable in git log's one-line view; 72 keeps the body wrapped in terminals and email. These come from long-standing Git convention, not arbitrary limits. Both parts are formatted to these widths automatically.
When does a commit need more than a one-line body?
When the "what" needs a "why" — the reasoning, the trade-offs, or what was tried and didn't work. Future readers need context the diff can't show. One-line changes rarely need a body; refactors and bug fixes usually do.
Do these messages work with semantic release tooling?
Yes — that is the point of the convention. Tools like semantic-release parse feat: and fix: prefixes to decide version bumps automatically. A malformed message breaks the automation silently, so strict formatting protects the release pipeline.

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