cURL to Code

What cURL to Code does

cURL to Code parses a curl command and rewrites it as runnable code in two ecosystems: a browser or Node.js fetch call and a Python requests call. It tokenizes the command the way a shell would, respecting single and double quotes and line continuations, then extracts the request method, target URL, headers, and body. The method defaults to GET, switches to POST automatically when a body is present, and honors an explicit -X or --request flag. Headers from every -H or --header flag are collected into an object, and basic authentication supplied with -u is turned into an Authorization header.

Body data from -d, --data, --data-raw, and --data-binary is preserved verbatim and attached to both snippets. This is useful when you copy a request as cURL from your browser's network panel or from API documentation and want a starting point in application code instead of a shell command. Generating both languages at once makes it easy to share an example with teammates who work in different stacks, or to move a quick manual test into an automated client.

Private browser-based workflow

All tokenizing and code generation happen inside your browser with client-side JavaScript. The tool does not upload your curl command, URLs, headers, tokens, or request bodies to a server, and it does not require an account. That local-only model matters because a copied curl command frequently contains authorization headers, cookies, and API keys captured from a real session. Keeping the conversion on your machine means those secrets never leave the page, and the snippets appear instantly without a network round trip.

The interface shows the original command alongside both generated snippets so you can verify the method, URL, headers, and body before copying. Review the output before running it: remove or rotate any credentials that were embedded in the command, and confirm that the target URL is the environment you intend to call.

Practical tips

For the cleanest results, paste a single curl command rather than a chained shell pipeline, and keep line continuations intact so flags are not merged. When the body is JSON, the generated fetch snippet sends it as a string, matching curl's behavior; parse and re-stringify it in your code if you prefer to build the object programmatically. The Python snippet uses the data argument to mirror the raw body; switch to the json argument when you want requests to set the content type and serialize an object for you. Always treat generated clients as a draft and add error handling, timeouts, and retries appropriate to your application before using them in production.