Decoder Documentation
Decoder turns source code into human-readable knowledge. Read this page in your language using the switcher in the header.
Getting started
Sign in, create a project, then bring code in one of three ways: drop a single source file (.js, .ts, .py, .java, .go, .rs, .sql and 20+ more), upload a ZIP of a folder, or import any public GitHub repository. Pick a file in the tree, then click Explain. Choose your proficiency level and human or technical summary.
Bring your own AI key
In Settings → AI providers, paste a key for OpenAI, Anthropic, Google Gemini or OpenRouter. Keys are encrypted with AES-256-GCM server-side and decrypted only to forward your request — they are never returned to the browser.
Local mode (Ollama / LM Studio)
Install Ollama (https://ollama.com) or LM Studio, then in Settings → Local AI endpoints add the base URL (Ollama: http://localhost:11434, LM Studio: http://localhost:1234) and a default model. The browser calls your machine directly for inference — file bodies are not sent to AI providers. Uploaded files still live in your private server storage.
Security & ownership
You own your code, generated documentation and suggested comments. We never train on user repositories. Every database table uses Row-Level Security scoped to your account.
India & Sri Lanka
Regional guides for developers in Bharat, tuned for DPDP Act 2023 compliance and BYOK cost efficiency.