The Auto-Transcript Sanitizer
A transcript cleaner instantly strips timestamps, speaker labels, filler words, and formatting artifacts from auto-generated transcripts. Paste text from Zoom, Microsoft Teams, YouTube, Otter.ai, or Google Meet and get clean, readable prose — 100% privately in your browser.
Auto-generated transcripts are machine-produced text versions of spoken audio from meetings, webinars, podcasts, and videos. Services like Zoom, Microsoft Teams, Google Meet, YouTube, and Otter.ai produce them automatically but they're riddled with timestamps, speaker labels, filler words, and formatting artifacts that make them hard to read.
ScrubScript runs entirely in your browser. Your transcript text is never sent to any server, API, or third party. All regex processing happens client-side in JavaScript. No cookies track you, no analytics watch you, and no data ever leaves your device. Close the tab, and it's gone.
High-quality audio makes a massive difference in how accurately your auto-transcripts are generated. We highly recommend upgrading to a professional USB microphone for crisp voice capture, and a pair of studio monitor headphones to ensure you catch every detail during the editing process.
When you record a meeting or podcast, platforms like Zoom, Teams, and Otter.ai automatically generate a transcript. While incredibly useful, these raw files are cluttered with timestamps (e.g., [00:00:15]), speaker labels ("John Doe:"), sequence numbers, filler words ("um", "uh"), and [inaudible] markers. Manually deleting these artifacts line-by-line is tedious and error-prone. ScrubScript acts as a dedicated transcript cleaner, using precision regex rules to instantly strip out all unnecessary metadata. The result is a clean, readable text block ready for blog posts, show notes, or feeding into LLMs. Best of all, because the cleaning engine runs purely via client-side JavaScript, your private conversations never leave your device.
Auto-transcripts contain timestamps, speaker labels ("Speaker 1 00:04:23"), filler words (um, uh, like, you know), repeated words from speech disfluency, and formatting artifacts. A transcript cleaner strips these programmatically while preserving the actual spoken content and paragraph structure.
This cleaner auto-detects and processes transcripts from Zoom, Microsoft Teams, YouTube auto-captions, Otter.ai, Google Meet, and generic SRT/VTT subtitle files. Each format has different timestamp and speaker label patterns that the tool identifies and removes automatically.
Yes — this tool runs 100% in your browser using JavaScript. Your transcript text is processed locally on your device and is never transmitted to any server. This is especially important for confidential meeting transcripts, legal depositions, and medical dictation.