Podcast and video chapter prep
Transcript Timestamp Extractor
Extract MM:SS and HH:MM:SS markers with their surrounding labels from transcripts, show notes, or editing notes.
Timestamped text
Text is processed locally.
Timestamp list
Run the tool to create output.
One free try, then Google sign-in.
Continue the audio workflow
Move between raw audio, timed subtitle files, and publishable text without returning to the home page.
Best for
- Pulling podcast chapter markers from notes
- Cleaning YouTube chapter drafts
- Collecting edit timecodes from transcripts
- Turning timestamped notes into a compact list
Key features
- MM:SS recognition
- HH:MM:SS recognition
- Label preservation
- Duplicate removal
- Chronological second values
Limits to know
- The source text must already contain timestamps
- Frame-based SMPTE timecode is not parsed
- The tool preserves source order rather than re-sorting
- Review ambiguous numeric text before publishing
Questions this tool answers
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Frequently asked questions
Which timestamp formats are recognized?
The extractor recognizes MM:SS and HH:MM:SS patterns, including timestamps inside common brackets.
Does it generate timestamps from audio?
No. It extracts markers already present in text. Use transcription when you need timing generated from media.
Are repeated timestamps removed?
Exact repeats with the same timestamp and label are included once.
Can I use the list for podcast chapters?
Yes. The output keeps a normalized timestamp followed by the label found on that source line.
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