ClickyApps

Transcript Cleaner

Remove timestamps, speakers, fillers; smart punctuation.

Tip: Your data stays in your browser.
Words: 0
Examples:
Options
Additional fillers (editable)
umuhuhmhmmerahehyou knowi meansort ofkind of
Up to 1000 items. Removal is case-insensitive.
Words: 0

FAQs

  • Do you upload my transcript?
    No. Cleaning happens entirely in your browser.
  • Which timestamps are removed?
    Standard formats (HH:MM, HH:MM:SS, inline [00:12.34]), SRT time-range/index lines, YouTube-style (1:23), casual formats (1m23s, 1h2m), and "at 1:23" patterns are all removed when enabled.
  • Which files are supported?
    Paste text or upload .txt or .srt (client-side only).
  • How do fillers work?
    Toggle "Remove filler words" ON to remove common fillers (um, uh, hmm, etc.) and any you add. Context-dependent words like "like" and "so" are excluded by default to avoid removing legitimate usage. Case-insensitive, whole words/phrases only.
  • What does smart punctuation do?
    Normalizes ellipses (...), converts -- to em dashes (—), adds proper spacing after punctuation, handles multiple punctuation (!?), and protects URLs/emails from formatting changes.
  • Can I export results?
    Export TXT always. Export SRT is available when the input is valid SRT; it preserves timings and cleans only cue text.

Guides

SRT Format Rules with Examples (2025)
Master SRT cue structure—timecodes, text, spacing, and formatting—with valid/invalid examples, real-time validation using SRT Editor, and quick fixes for upload errors.
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Fix Overlapping SRT Cues (Step-by-Step)
Diagnose and fix overlapping SRT cues with precision nudge controls, merge strategies, and keyboard shortcuts—using real-time waveform validation in SRT Editor to export clean, player-ready caption files.
Read →
Target LUFS for YouTube, TikTok, and Spotify (2025)
Hit platform loudness targets without clipping—with integrated LUFS benchmarks, true peak guards, and fast normalization workflows using the LUFS Analyzer for YouTube, TikTok, Spotify, and podcasts.
Read →
Hook Formulas That Stop the Scroll (2025)
Proven hook frameworks with real examples—curiosity gaps, before/after patterns, mistake formulas, and counter-intuitive openers that capture attention in the first 3 seconds.
Read →
Normalize to −14 LUFS Fast: Step-by-Step Recipe (2025)
Fast, practical workflow to normalize audio to −14 LUFS using the LUFS Analyzer—with measurement, preview, export, and quality checks that take 3 minutes.
Read →
Hashtag Grouping Strategy: Build Sets That Don't Look Spammy (2025)
Create natural hashtag sets that pass platform filters and maintain reach—with grouping rules, rotation patterns, and spam traps to avoid for TikTok, Instagram, YouTube, and LinkedIn.
Read →