Transcript Cleaner Tool Walkthrough: From Upload to Download
1. Upload Your File
Drag‑and‑drop or paste raw text. Supported: .vtt, .srt, .txt.
2. Choose Cleaning Options
- Remove filler words
- Keep timestamps
- Keep speaker labels
Each option has a checkbox in the app so you can toggle it on or off before cleaning.
3. Preview & Edit
See side‑by‑side before‑after. Make manual tweaks inline.
4. Export
Download as HTML (with structured headings) or plain text.
Tip: Use bulk‑export to process a season of podcast episodes in one zip.
Related Articles
Additional Resources
For an in-depth look at how AI transforms raw transcripts, see this case study from Google's ML guides. Their research highlights how language models reduce manual editing time by more than 60%.
Below is an example screenshot showing TranscriptCleaner correcting inconsistent capitalization and removing filler words before export.
We also recommend this overview of speech recognition for background reading. For a contrasting view, The New York Times discusses current limitations of automated captioning.