Why developers translate curl
Most API exploration starts with curl because it is ubiquitous, scriptable, and easy to share on Slack or in tickets. The challenge arrives when you need to embed that request inside a frontend, a serverless function, or your load-testing suite. Copying headers manually is error-prone, and forgetting to convert quoting or escape sequences leads to subtle bugs.
The Curl to Code converter analyzes the request line, infers the HTTP method, and inspects payload flags to determine whether the body should be JSON, multipart form data, or raw binary buffers. It then maps each piece into Fetch, Axios, Python Requests, Go net/http, or PHP curl syntax with consistent naming. The output is formatted for readability, making it safe to drop into pull requests.
Accurate headers
Authorization, custom tracing IDs, and cookies are preserved, de-duplicated, and sorted to match language conventions.
Smart body handling
Detects JSON payloads, file uploads, and URL-encoded data before serializing them through the matching helper in each runtime.