Dictation Instructions

To clean up dictated text, provide the speech-to-text output for processing. The tool removes filler words, standardizes terminology, and optimizes sentence structure to return a clear, professional version while preserving the original meaning.

Yes, you can fix speech-to-text errors in Markdown files without breaking frontmatter. The tool preserves frontmatter integrity and project-specific glossary terms while correcting phrasing and removing fillers.

The best way to standardize terminology in dictated meeting notes is to process the text through automated cleanup. It enforces consistent project glossary terms and removes filler words to enhance overall readability.

Text cleanup for dictated content works within GitHub Agentic Workflows to standardize dictated notes, meeting summaries, and documentation. It improves readability and enforces terminology consistency across project documents.

Removing filler words from dictated text will not change your original meaning. The tool optimizes sentence structure and enforces terminology standardization while strictly retaining the intended message of the content.