Voice Dictation for API Documentation Writers

Yes. Cloud models like Gemini 3 Flash are trained on technical documentation and handle terms like REST, GraphQL, OAuth, JWT, and HTTP methods accurately. For project-specific endpoint names and custom parameters, add them to your custom dictionary once and Ottex transcribes them correctly every time.

Say 'code block' to start a code section, then dictate your example. Say 'end code block' when done. You can also say 'backtick' for inline code, 'open curly brace', 'close bracket', and other syntax elements. Formatting commands give you the structure you need without leaving your flow.

Ottex works system-wide on macOS, so it works in any text field—Swagger Editor, Postman documentation, Notion, GitHub wikis, GitBook, Confluence, or wherever you write. Same hotkey everywhere.

Yes. Dictate code samples naturally: 'const client equals new API client open paren api key close paren semicolon.' For complex examples, dictate the logic and variable names, then clean up syntax manually. Many writers find dictating the structure and comments is faster than typing everything.

Many API doc writers use ChatGPT or Claude to draft endpoint descriptions and examples. Speaking your prompts means you provide more context naturally—'I need documentation for the user authentication endpoint, it takes email and password, returns a JWT with refresh token, and can return 400, 401, or 429 errors.' Better prompts mean better AI output.

Cloud models handle standard API terminology well: REST, GraphQL, webhooks, OAuth, API keys, rate limiting, pagination, etc. For company-specific terms (your API's endpoint names, custom headers, internal service names), use the custom dictionary feature.