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What's the best way to summarize 20 interviews?

Transcribe all twenty first, then summarize each one, then read across them. In WhipScribe you can import a whole Google Drive folder at once or submit through the API, and every transcript lands in a searchable Library with its own overview, takeaways, chapters and timestamped quotes. The first transcript is free at any length.

Two passes, not twenty

The mistake is treating twenty interviews as twenty separate jobs done end to end. Do it in two passes: get all twenty transcribed, then work across the set. The first pass is mechanical and you should not be sitting through it.

Processing usually runs about two minutes of wall clock per hour of audio, so twenty hour-long interviews is a short wait rather than a day.

Getting twenty files in without twenty uploads

If the recordings are in Google Drive, import the whole folder at once. That is the fastest route for a set this size and it is one action, not twenty.

If they are somewhere else, paste links to them, or use the API with keys to submit them from your own code. One file can be up to 5 GB and up to 12 hours, so length is rarely the constraint.

Per-interview summaries are the unit you compare

Each transcript gets an overview, the takeaways, chapters, and key quotes carrying the timestamp each sits at. Twenty of those is a set you can actually read in an afternoon.

Then use the Library search across all twenty: search what was said, not what you named the file, and pull every interview where a topic came up.

Going back into any single one

When the cross-reading turns up something worth chasing, open that interview and chat over its transcript — ask what was said about it, and follow the timestamped quote back into the audio.

Export whatever you are going to write from as TXT, DOCX or JSON. Transcripts are never used to train AI.

What twenty interviews cost

The first transcript is free at any length, no card and no account needed to start, and the second is $0.99, once per email address.

For the rest, minute packs are one-time with no subscription: $8 / 1,000 minutes, $12 / 2,000 minutes, $24 / 5,000 minutes, and minutes do not expire. If the set is large or ongoing, Workspace is $19/month for unlimited transcription on the web app.

How to do it

  1. Put all twenty recordings in one Google Drive folder, or gather their links.
  2. Import the whole folder at once, or submit the files through the API.
  3. Let the batch process — usually about two minutes per hour of audio.
  4. Read the twenty overviews and takeaway lists as your first pass.
  5. Search the Library by what was said to find every interview on a topic.
  6. Open the interesting ones and chat over the transcript to go deeper.

Related questions

Can I upload all twenty at once?

Import a whole Google Drive folder in one action, which is the least manual route for a set this size. You can also submit files programmatically through the API with keys.

Is there one summary across all twenty?

Each interview gets its own overview, takeaways, chapters and timestamped quotes. Reading across the set is something you do with the Library's search and the per-interview chat rather than from a single generated document.

How do I find the interviews that mention one topic?

The Library is searchable across every transcript you have. Search for what was said rather than for a filename, and it returns the interviews where it came up.

Will the transcripts separate the interviewer from the subject?

No. WhipScribe does not label speakers or separate who said what. Across twenty interviews that means you can find what was said and where, but not attribute each line to a named person.

What will twenty interviews cost?

The first is free at any length and the second is $0.99, once per email address. Beyond that, minute packs are $8 / 1,000 minutes, $12 / 2,000 minutes and $24 / 5,000 minutes, one-time and non-expiring. Workspace is $19/month for unlimited transcription on the web app.

How long does a batch take?

Processing usually runs at roughly two minutes of wall clock per hour of audio. That is a measured average, not a guarantee, and it is per recording rather than a queue you wait through by hand.

Keep reading

User research Academia Transcribe an interview API documentation Can you transcribe this audio? Summarize this recording. I have a 3-hour interview, can you analyze it?
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