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cURL Converter

Convert cURL commands to code in Python, JavaScript, Go, PHP, Rust, and more instantly.

Guide: How to use & features

  • Paste your cURL command (e.g., curl -X POST ...) into the input box.
  • Select your target programming language from the "Output Language" dropdown.
  • Copy the generated snippet directly into your application code.

Samples: Sample input & output

Convert POST request to Python

Input

curl -X POST https://api.example.com/login -d 'username=test&password=pass'

Output

import requests

data = {
    'username': 'test',
    'password': 'pass',
}

response = requests.post('https://api.example.com/login', data=data)

FAQ: FAQ

  • Which languages can it convert to?

    It supports major languages such as Python (requests), JavaScript (fetch), Go, PHP, and Rust. A handy workflow is to paste a "Copy as cURL" command from your browser’s network tab and turn it into code in your target language.

  • Are headers, auth, and request bodies (-H, -d, -u) converted too?

    Yes. It interprets -H headers, -d / --data bodies, -u Basic auth, and the method (-X), reflecting them in the equivalent request for each language. For complex options, run the generated code afterward to confirm it behaves as expected.

  • Is the cURL I paste (including tokens) sent anywhere?

    No. Conversion happens entirely in your browser, and the command you enter — along with any tokens or credentials in it — is never sent to a server. Even so, on a shared machine, strip secrets like API keys from the output before sharing it.

Use cases: Common use cases

  • Porting browser requests to code

    Instantly turn "Copy as cURL" requests from dev tools into reproducible source code.

  • Supporting API documentation

    Create code examples for multiple languages from a single sample request.

  • Automating manual tasks

    Convert tested cURL commands into Python or Go scripts for scheduled automation.

Notes: Notes & limitations

  • Handling Credentials

    The generated code will contain any cookies or tokens from the original cURL. Be careful when sharing or committing code.

  • Required Libraries

    To run the generated code, you will need to install the corresponding libraries (e.g., requests, axios) in your environment.
Copied!

cURL Command to Code Converter

Automatically convert cURL commands—often copied from browser developer tools or API documentation—into ready-to-run HTTP request code in languages like TypeScript (fetch/axios), Python (requests), Go, Rust, PHP, and more.

Streamlining API Integrations

Integrating third-party APIs is unavoidable in modern application development. By pasting a known-working HTTP request into this tool, you instantly receive the exact native scripting code, complete with properly mapped authentication headers, cookies, and JSON body payloads.
This drastically reduces boilerplate coding, eliminates string-escaping typos, and accelerates both frontend feature delivery and automated testing script generation.

Common workflows

  • From DevTools to code: Copy a request as cURL from browser developer tools and convert it into fetch, Python, Go, or another language.
  • From docs to scripts: Turn API documentation examples into runnable test scripts.
  • From terminal debugging to automation: Reuse a verified cURL command inside integration tests, CLI tools, or backend jobs.

Security note

cURL commands often contain Authorization, Cookie, API keys, and session headers. Remove secrets before sharing generated code, committing snippets, or pasting examples into public tickets.

Articles for this tool

Introduction
2026-02-09

cURL Converter: Instantly Transform cURL into Your Favorite Programming Language

Convert cURL commands into Python, JavaScript, Go, Rust and more. Covers why shell parsing (not regex) is required to convert curl reliably, the supported languages, and what to check before shipping the generated code.

Use Case
2026-08-07

curl Options Cheat Sheet: What -X, -H and -d Actually Do

A reference for the curl options you meet in real API work: why -d already implies POST, how -d differs from --data-raw, the @ prefix that silently reads a file, single vs double quotes, and why -k and -L deserve more caution than they usually get.

Recent Articles

Use Case
2026-08-07

curl Options Cheat Sheet: What -X, -H and -d Actually Do

A reference for the curl options you meet in real API work: why -d already implies POST, how -d differs from --data-raw, the @ prefix that silently reads a file, single vs double quotes, and why -k and -L deserve more caution than they usually get.

Introduction
2026-08-06

Converting Between JSON Schema and Zod: How required Maps to .optional()

Inside a two-way converter that turns JSON Schema into a Zod schema and Zod code back into JSON Schema. Covers the inverted defaults between required and .optional(), the constraint mapping table, and how the Zod side is parsed without executing any code.

Use Case
2026-08-06

SQL Clause Order Reference: Why WHERE Can't See Your SELECT Alias

The order you write SQL clauses is not the order the database runs them. A reference for the logical execution order (FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT), why aliases fail in WHERE, when to use WHERE vs HAVING, and the MySQL/PostgreSQL differences that bite.

Use Case
2026-08-06

Unified Diff Format Reference: Reading @@ Hunks in git diff Output

How to read the unified diff format git produces: what the four numbers in @@ -12,7 +12,9 @@ mean, why a one-character edit shows as a whole-line replacement, the whitespace and line-ending traps, \ No newline at end of file, combined @@@ diffs on merges, and rename detection via similarity index.

Use Case
2026-08-06

UTC to JST Reference: The 9-Hour Offset, Cheat Sheet & Timezone Pitfalls

Convert between UTC and JST (Japan Standard Time) with a cheat sheet. Covers what Z and +09:00 mean in ISO 8601, when JavaScript date parsing silently shifts by 9 hours, MySQL/PostgreSQL timezone behavior, and why GitHub Actions cron always runs in UTC.

Use Case
2026-08-04

CREATE TABLE Reference: MySQL vs PostgreSQL vs SQLite Types & Constraints

A cross-database CREATE TABLE (DDL) reference with cheat sheets for data types, auto-increment keys (AUTO_INCREMENT / IDENTITY / rowid), foreign key ON DELETE behavior, and the CHECK constraint that MySQL silently ignores.

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