CodeConverter

CodeConverter is a free online tool that uses AI to convert code between more than 30 programming languages, from JavaScript and Python to COBOL and Fortran, in a simple side-by-side editor with optional conversion history for logged-in users.

CodeConverter is a browser-based tool that translates source code from one programming language into another. The homepage is the tool itself: a two-pane editor with the original code on the left and the converted output on the right, each with a language selector. The site lists more than 30 languages, spanning mainstream choices such as JavaScript, Python, Java, TypeScript, C++, C#, PHP, Go, Ruby, Swift, Kotlin and Rust, along with scientific and numeric languages like R, MATLAB, Julia and Fortran, and older or niche ones including COBOL, Perl, Haskell, Erlang and F#. The workflow is short. A user pastes code into the source pane, sets the input language, chooses the output language, and presses Convert. A Sample button loads example code so the behavior can be seen before any real work is pasted in. The site describes the conversion as AI-powered, and its meta description presents the service as free to use online. A conversion history panel is available to logged-in users, while signed-out visitors are told to log in to see it, so an account is optional for converting but tied to keeping a record of past runs. The main audience is developers who need a quick first draft of a port: someone moving a script from Python to Go, translating a snippet found in another language, reading unfamiliar code by seeing it in a familiar syntax, or studying how an idiom maps across languages. Teams touching legacy stacks may also find the COBOL and Fortran options useful as a starting point. Among alternatives, CodeConverter sits at the lightweight end. General AI coding assistants and IDE plugins can translate code too, with project context and multi-file awareness, but they require setup and often a subscription. A single-purpose converter trades that depth for speed and simplicity: no install, one input, one output. The homepage does not describe file uploads, project-level migration, test generation or an API, so output should be treated as a draft that still needs review, compilation and testing before it goes anywhere near production.