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Zahvox
GlossaryComing soon

AI cleanup

AI cleanup uses a language model to tidy a raw speech-to-text transcript — removing fillers, fixing punctuation, and formatting — without rewriting your ideas.

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Definition

AI cleanup is an automated post-processing step where an LLM reviews raw dictated text and produces a cleaner version. Typical actions: strip 'um' and 'like', add punctuation and capitalization, break into paragraphs, correct obvious typos and misheard words.

In plain language

You speak messy. The AI tidies. Your meaning stays. Your voice stays.

Why it matters

Manual cleanup works but takes attention. AI cleanup is the shortest path from raw transcript to send-ready text — as long as it doesn't overwrite your voice.

How this relates to Zahvox

AI cleanup is the top item in Zahvox development. The plan: one-click cleanup on the current transcript, with a diff view so you can see and reject any change. It is not shipped yet.

Status: In development for Zahvox. Not shipped yet.

Example

Raw: "so um basically i wanted to say that we should probably you know push the meeting to thursday because monday is packed." Cleaned: "We should push the meeting to Thursday — Monday is packed."

Common misconception

AI cleanup is not AI writing. It edits what you said; it doesn't generate new points.

Frequently asked questions

Keep exploring

AI cleanup feature
Roadmap

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