ケバ取りMaster-AI-powered text refinement tool.

Example

In a raw transcription, there might be a lack of commas or periods where natural pauses occur in speech. ケバ取りMaster analyzes the text to insert punctuation where necessary, improving readability.

Scenario

During a business meeting, a speaker might pause briefly between points, but a transcription without punctuation would turn the spoken content into a single, run-on sentence. ケバ取りMaster would add commas and periods to reflect these pauses accurately, making the text clearer.

Example

Words like 'um', 'uh', and 'you know' often clutter speech but don't add meaningful content. ケバ取りMaster is designed to identify and remove such filler words unless they serve a rhetorical purpose.

Scenario

In a podcast interview, the host and guest might frequently use filler words while thinking of their next point. ケバ取りMaster removes these fillers in the final transcript, producing a polished version that’s easier for readers to follow.

Example

In informal speech, people often omit 'ら' from potential forms of verbs, like '見れない' instead of '見られない'. ケバ取りMaster corrects these colloquial forms to their standard written equivalents.

Scenario

During an informal team discussion, someone might say '見れない' instead of the grammatically correct '見られない'. In the meeting transcript, ケバ取りMaster ensures this is corrected while keeping the tone of the conversation intact.