Transcription is no longer the hard part.
Five years ago, converting audio to text was the bottleneck. Today, it’s basically solved.
The real bottleneck is everything that comes after.
What most tools still do
- Give you raw text
- Maybe add timestamps
- Leave the rest to you
So your workflow becomes:
- Transcribe
- Clean text
- Identify speakers
- Break into sections
- Create subtitles
- Summarize
That’s not automation. That’s partial assistance.
The actual problem
People don’t want transcripts.
They want:
- subtitles for videos
- summaries for content
- structured notes
- searchable segments
Raw text doesn’t solve any of that.
What a modern workflow should look like
Input: video/audio
Output:
- clean transcript
- speaker labels
- chapters
- summary
- export-ready formats
Anything less just creates more work.
Takeaway
If your tool stops at transcription,
you’re solving the easiest part of the problem.
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