🎓 Built for Researchers

Split Interview Transcripts Into Thematic Segments by Meaning

Stop manually scrolling through 50-page transcripts. TopicSplit finds where topics actually change — in seconds, offline, for free.

🚀 Try It Now — Free ☕ Support ($1+)

The transcript problem every researcher knows

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Walls of text

A 60-minute interview = 8,000+ words. Finding where one topic ends and another begins takes 30+ minutes of scrolling.

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Hidden themes

Manual reading misses subtle topic shifts. Vocabulary changes signal transitions your eyes skip over.

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Privacy risk

Uploading transcripts to AI tools leaks sensitive participant data. IRBs hate it. You need offline.

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Time sink

Qualitative research already takes hundreds of hours. Why spend 20% of it just splitting text?

How it works

1

Copy your transcript

From Otter.ai, Rev, Zoom transcription, or any text source. Paste the full transcript into TopicSplit.

2

Set sensitivity

Higher = more granular segments (good for micro-analysis). Lower = broader themes (good for high-level coding).

3

Split and export

TopicSplit analyzes lexical cohesion — where content-word overlap drops between sentences, that's a topic boundary. Export clean markdown with ### Topic N headers.

4

Code and analyze

Each segment becomes a thematic unit you can tag, code, and organize in NVivo, Atlas.ti, Dedoose, or your qualitative framework of choice.

Manual splitting

  • 30+ min per transcript
  • Subjective boundaries
  • Inconsistent across coders
  • Gets worse with fatigue

TopicSplit

  • 5 seconds per transcript
  • Statistical, reproducible boundaries
  • Same algorithm every time
  • Works while you sleep (batch)

"I paste every interview transcript into TopicSplit before coding. It finds the topic boundaries I'd spend 20 minutes deciding. The output is clean markdown I can code line-by-line."

— A qualitative researcher who got tired of scrolling

Try it on your next transcript — free, offline

Paste a transcript. Get thematic segments in 5 seconds. No install, no account, no tracking.

🚀 Launch TopicSplit

Researcher FAQ

Does it work with non-English transcripts?

Yes. The algorithm is language-agnostic. It detects vocabulary shifts between sentences — works in any language.

Can I split multiple transcripts at once?

Yes — TopicSplit Pro is a CLI batch processor. Drop a folder of .txt transcripts, get a folder of segmented markdown. Pay-what-you-want (min $5).

Is this approved by IRBs?

TopicSplit runs 100% in-browser. Your data never leaves your machine. No server, no logging, no third-party processing. Your IRB will approve because there's nothing to audit — the code is MIT and client-side.

How is this different from NVivo auto-coding?

NVivo uses AI/NLP that ships your text to a server (or requires expensive local models). TopicSplit uses simple lexical cohesion — transparent, offline, free. You see exactly why each boundary was placed.

What about Zoom/Otter exports with timestamps?

Paste the plain text. TopicSplit ignores timestamps and focuses on content-word shifts. If timestamps break sentences, the algorithm adapts — it works on whatever text you give it.

Can I use the output in my published research?

Yes. MIT license. The segments are your original words — TopicSplit just groups them. No attribution required (but appreciated).

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