Text Refinement
Definition
Text refinement is the process of transforming rough, unpolished text into clean, well-structured writing. In the context of voice-to-text workflows, refinement takes the raw output of speech recognition — typically lacking punctuation, containing filler words, and structured as a stream of consciousness — and produces text that reads as if it were carefully typed.
Ummless uses large language models for text refinement, guided by user-defined presets that specify the desired output style, format, and tone. The refinement process preserves the speaker's original meaning and intent while improving grammar, adding appropriate punctuation, organizing content into paragraphs, and applying the requested formatting.
Frequently Asked Questions
How does text refinement work?
Text refinement sends your raw transcription to an AI language model with instructions from your selected preset, which cleans up grammar, formatting, and style while preserving your original meaning.