Podcast Transcript Cleaner — Clean Interview Transcripts Fast
Content ToolsPodcast transcripts are valuable for SEO, accessibility, and repurposing content — but raw transcripts are cluttered with everything that makes audio natural: filler words, false starts, crosstalk, and timestamps. Publishing a raw transcript on your website makes it nearly unreadable and wastes its SEO potential. This free transcript cleaner removes the common noise from podcast transcripts: filler words (um, uh, like, you know), timestamps, speaker labels, repeated words, and extra whitespace. Paste your transcript and get clean text ready to format as a show notes page or blog post.
When to use this tool
- Cleaning interview transcripts for publishing as blog posts or show notes
- Preparing transcripts for podcast episode pages to improve SEO
- Creating clean text for closed captions or accessible transcript pages
- Repurposing podcast content into written articles
- Cleaning auto-generated transcripts from Otter.ai, Descript, Rev, or Whisper
Frequently Asked Questions
Yes. Full transcripts add substantial text content to episode pages, making them indexable by search engines. A 45-minute podcast transcript is typically 6,000–8,000 words of keyword-rich content.
Both work. Full transcripts give more indexable content. Summaries are more readable for visitors. A common approach: clean the transcript, write a 200-word summary as the main content, and include the full transcript below in a collapsed section.
Common options: upload your audio to Otter.ai or Descript for AI transcription, use Whisper (free, open source) locally, or use a service like Rev for more accurate human-assisted transcription.
Looking for the full Transcript Cleaner? View the main tool page →