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snake_case Converter

Convert text to snake_case for Python and database fields.

Tokens are split on whitespace, hyphens, underscores and existing case boundaries, then joined with underscores in lower case.

snake_case

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How to use snake_case Converter

What is snake_case?

snake_case is a naming convention where compound identifiers are written in all lower-case with underscores between the words — user_name, max_retry_count, is_logged_in. The name evokes the low, slithering shape of the underscores running along the baseline. It’s the dominant style for variable and function names in Python, Ruby, Rust, Elixir and PHP (for non-class identifiers), and it’s the default for column names in most SQL databases. The convention predates these languages by decades — early Unix shells, C library functions (fopen, strcpy, getpid) and the standard POSIX environment variables all used the same pattern.

When to use snake_case

snake_case has well-understood roles in software and data:

  • Variable and function names in Python, Ruby and Rustuser_name, calculate_total(), is_ready. PEP 8 (Python’s style guide), the Ruby community style guide and the official Rust style all specify snake_case for local variables, function names, method names and module names.
  • Database column namescreated_at, user_id, order_total. PostgreSQL, MySQL and SQLite are case-insensitive for unquoted identifiers but lower-case with underscores is the universal convention. ORMs like Django, Rails and SQLAlchemy map between snake_cased columns and language-native identifiers automatically.
  • JSON keys for Python-backed APIs — Django REST Framework, FastAPI and Flask APIs commonly serialise keys in snake_case to match the Python attribute names, in contrast to the camelCase used by JavaScript-backed services.
  • Environment variable names (combined with the SCREAMING form) — DATABASE_URL, STRIPE_SECRET_KEY, LOG_LEVEL. Unix shells treat env vars as case-sensitive and the upper-case-with- underscores convention is universal across deployment tooling, Docker, Kubernetes and CI systems.
  • File and directory namesuser_profile.py, migration_001_add_users.sql, test_authentication.rb. Lower-case with underscores avoids the case-sensitivity bugs that bite teams working across macOS, Linux and Windows.
  • URL slugs (sometimes) — though kebab-case (/about-us) is more common for SEO, some sites use snake_case (/about_us). Either is readable; pick one and stick to it across the site.

snake_case vs SCREAMING_SNAKE_CASE: same structural rule (lower-case words separated by underscores) but written in all caps. SCREAMING form is reserved for constants — values that don’t change at runtime — and for environment variables. Python is the canonical example: max_retries is a variable, MAX_RETRIES is a module-level constant, and the convention is universal enough that linters warn when it’s broken.

Examples

A few before/after transforms the tool produces:

  • hello worldhello_world
  • get user profileget_user_profile
  • max retry countmax_retry_count
  • is logged inis_logged_in
  • userFirstNameuser_first_name
  • my-cool-thingmy_cool_thing
  • HTTP Request Handlerhttp_request_handler

Notice how spaces, hyphens and existing camelCase boundaries are all treated as word separators, and capitals are normalised to lower-case in the result.

How to use this snake_case Converter

  1. Type or paste your text into the input box. The snake_case result appears in the read-only output box and updates as you type — no Convert button to click.
  2. Tap Load sample if you’d like to see a typical multi-word phrase demonstrating the transform.
  3. Tap Copy beside the result to put it on your clipboard, ready to paste into your editor or schema migration.
  4. Tap Clear to start over.

For other case styles — UPPERCASE, lowercase, Title Case, camelCase, kebab-case — visit the full Case Converter, or the dedicated landings for each style listed under Related Tools at the bottom of the page.

Privacy

The tool walks the text in a few short steps in JavaScript: split on separators (whitespace, hyphens, existing underscores, camelCase boundaries), lower-case each word, join with underscores. It runs in your browser tab on your device’s CPU, with no network call, analytics, or storage. The text you paste never travels anywhere. You can verify in the browser’s Network tab; the page makes one set of requests when it loads and then nothing.

Compatibility notes

The transform relies on basic string operations and the built-in toLowerCase() method, which has been a JavaScript built-in since the language’s inception. Every browser, every OS, every version handles it the same way — there is nothing to polyfill, no library to load. The Unicode coverage matches the JavaScript engine, which on every modern browser is up to date with the current Unicode release.

Frequently asked questions

Does the converter handle non-English characters?
Yes, with a caveat. The transform splits the input into words, lower-cases each one using JavaScript's Unicode-aware toLowerCase() mapping, and joins them with underscores — so Café Mañana becomes café_mañana. Programming language rules vary on what counts as a legal identifier character: Python 3 accepts a wide range of Unicode letters in identifiers, but most projects and linters still require ASCII. If you're generating real code, stick to ASCII source words.
What if my input already contains underscores or mixed separators?
They're treated as word boundaries. Runs of underscores, hyphens, dots, slashes and whitespace are all collapsed into a single underscore in the output, so my_existing_snake, my-kebab-case, myCamelCase and My Title Case all converge on my_existing_snake, my_kebab_case, my_camel_case and my_title_case. The transform also splits at camelCase boundaries so existing identifiers convert cleanly without you having to re-space them first.
What about SCREAMING_SNAKE_CASE for constants?
This tool emits lower_snake_case. For SCREAMING_SNAKE_CASE — the convention for module-level constants in Python (MAX_RETRIES), enum values in many languages, and environment variable names (DATABASE_URL) — run the result through the UPPERCASE Converter as a second step. The combined pipeline is the standard way to turn human-readable phrases into constant names.
Will my line breaks, numbers and punctuation be preserved?
Line breaks are treated as word separators, so a multi-line input collapses into a single snake_cased identifier. Digits are kept in place (version 2 releaseversion_2_release), and a digit at the very start is left alone even though most languages forbid identifiers that begin with a number. Punctuation that isn't a recognised separator — apostrophes, quotes, emoji and symbols — is stripped, because it's never legal in identifiers.
Is my text uploaded anywhere?
No. The transform runs entirely in your browser tab as JavaScript on your device's CPU. There is no network call, no logging, and no analytics on the text you paste. The page works the same way offline after the initial load — confirm in the browser's Network tab.

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