LoQuillAI dictation cleanup should make spoken writing easier to read while keeping what you meant. Removing a hesitation is often harmless. Changing a date, deleting a negative or turning a suggestion into a promise is a different kind of edit.
That distinction matters because a polished sentence can hide a mistake. You need to check the meaning, not just whether the output looks tidy.
Recognition and cleanup answer different questions
Speech recognition produces text from the recording. Cleanup then works on that text to produce a more readable draft. If recognition gets a name wrong, the cleanup step may make the surrounding sentence more fluent without fixing that name.
LoQuill runs both stages locally on the Mac. Its public examples show the intended behavior of removing hesitation and preserving a spoken correction. That describes the product's aim; it is not a guarantee that every ambiguous sentence will be interpreted correctly.
Three kinds of spoken mess
A filler is a sound or phrase used while thinking: “um,” “uh,” or an unnecessary “you know.” Whether to remove it depends on the job. It often has no purpose in a short email, but it may belong in a faithful record of what someone said.
A false start is a sentence that begins, stops and begins again. For a message you are composing, keeping the final complete sentence is often helpful. For a transcript, the start may be relevant.
A self-correction changes an earlier detail. “Tuesday—actually, Thursday” should not leave both dates looking like separate appointments when the speaker intended only Thursday.
Examples of meaning to preserve
The examples below are invented for illustration. They are not recorded outputs from an app or claims about benchmark performance.
Spoken draft: “The review is Tuesday. Sorry, Thursday afternoon.”
Intended message: “The review is Thursday afternoon.”
Check: the original Tuesday should not remain as a second deadline.
Spoken draft: “We can probably finish this week, but I haven't confirmed the delivery.”
Intended message: a possible finish this week, with delivery still unconfirmed.
Check: cleanup must not turn that into “We will finish this week.”
Spoken draft: “Do not send the older attachment. Send the revised one.”
Intended message: the older attachment must not be sent.
Check: preserving the negative is more important than making the sentence shorter.
Spoken draft: “The budget is fifteen, no, fifty.”
Intended message: fifty, if that is the correction the speaker intended.
Check: verify the amount manually. A single similar-sounding word can change the decision.
Help the tool by making the correction explicit
You do not need to speak perfectly, but a clear correction reduces ambiguity. If a number matters, say which earlier number you are replacing. If two names are similar, type or verify the final spelling.
Keep one idea together. When a message has several requests, dictate it in sections and review each section. This gives you a chance to catch a meaning change before it becomes part of a longer draft.
Use cleanup for writing, and faithful text for records
When you are creating an email or note, a readable draft is usually the goal. When the task is to document exactly what was said, the unedited transcript may be the more useful starting point.
Neither output should be treated as an unquestionable source. For a recording, compare important details with the audio. For a dictated message, compare the result with your intended meaning. Clear writing and faithful transcription are related but different goals.
A short review order
Check names and numbers first. Then dates and deadlines. Then negatives, uncertainty and commitments. Finally, review grammar, paragraph breaks and tone.
This order puts the details with the greatest effect on meaning ahead of cosmetic edits. You may find that a draft needs only a small adjustment, but that adjustment can be the reason the text is safe to use.
LoQuill is designed to make natural speech easier to turn into writing. Your final review remains the step that decides whether the words say what you intended.
See LoQuill's public examples: https://loquill.app/