Folders and feeds · one pack for the lot

How do you transcribe many long files at once? Folder links, feeds, or one upload after another.

Put the recordings in a Google Drive folder and paste the folder's share link, paste a podcast RSS feed, or upload the files one after another; each file can run up to 10 hours or 5 GB and takes about 2 minutes per audio hour, so a 90-minute interview is done in about 3 minutes. Packs start at $4 for 300 minutes, and credits never expire.

Packs from $4, credits never expire · then from $0.32/hour · Credits never expire · Never used to train AI
✓10 hours or 5 GB each · ✓Drive folders and RSS feeds · ✓One-time packs, no subscription · ✓Never used for training

A stack of recordings

Three ways to send a batch.

A Google Drive folder

Put the recordings in one Drive folder, set sharing to anyone with the link, and paste that link into the box. The audio and video files in it are fetched directly, so nothing has to pass through your own connection, and each one becomes its own transcript.

A podcast feed

For a show's back catalogue, paste the RSS feed address. The episodes come in from the feed instead of being downloaded and re-uploaded one by one, which is the fastest way to turn years of episodes into searchable text.

Files from your computer

Recordings on a laptop or a drive go in through the upload page, one after another. Each file can be up to 10 hours or 5 GB, with or without a pack, which audio rarely reaches but long video can.

Each one finished on its own

Every recording gets its own transcript, brief with thesis and takeaways, chapters, the names, numbers and dates said, and a chat. Speakers get named in each part's summary, key quotes and chapters. Download each as TXT, DOCX, SRT, VTT or JSON; the JSON suits anyone loading the set into a script.

Batches elsewhere

Why a stack of long files usually stalls.

✗ One at a time, slowly

Tools built for short clips make a batch of long files into a week of chores.

  • Each file cut into hour-long pieces
  • A per-file cap far below a full session
  • Downloading a shared folder to re-upload it
  • A monthly plan to buy for one project
  • Minutes that vanish at the end of the month
  • Nothing but raw text for each file

✓ Built for a stack

Whole files, folder and feed links, and one pack of credits for the lot.

  • Each file whole, up to 10 hours
  • Drive folder links fetched directly
  • RSS feeds for podcast archives
  • Unused credits kept for later
  • About 3 minutes per 90-minute file
  • A brief and chapters for every file

Sample output

Interview 17 of a thirty-interview study.

Illustrative lines, not a real participant. Each file in a batch keeps its own clock from zero.

transcript · whipscribe.com/view/how-to-transcribe-many-long-files-at-once
00:02:10 Before we start, are you comfortable with me recording this conversation?
00:23:48 We moved to the new system in the spring, and the first month was rough.
00:51:05 Could you say more about what changed for the night shift?
01:12:33 Honestly, the training helped more than the software did.
01:28:56 That's everything from my side. Thank you for your time.

Export

One transcript. Five clean formats.

Every pack exports all five — no format is held back for a higher tier.

.txt

Plain text

De-ummed paragraphs. Ready to paste.

.srt

SRT captions

Timed to the speech. Every video editor reads this.

.vtt

WebVTT

HTML5 player + YouTube uploads.

.docx

Show notes

Formatted with chapters and pull-quotes.

.json

Machine-readable

Timestamped text for your own tools.

Pricing

Honest pricing, no surprises.

A pack from $4 (300 minutes) opens the full transcript. After that, no subscription and no auto-renew — every tier is a one-time minute pack, and credits never expire. Buy once, use the minutes whenever you need them.

Casual pack

$4/300 min

5 hours of audio — $0.80 an hour. One-time — credits never expire.

  • 300 minutes of audio
  • All export formats
  • AI chat over the whole transcript
  • Executive summary & key quote
Get 300 minutes

Best value

$18/3,000 min

50 hours of audio — $0.36 an hour. Credits never expire.

  • 3,000 minutes of audio
  • Summary, chapters and key quotes
  • All export formats
  • AI chat over the whole transcript
Get 3,000 minutes

Bulk pack

$32/6,000 min

100 hours of audio — $0.32 an hour. Credits never expire.

  • 6,000 minutes of audio
  • Summary, chapters and key quotes
  • API access for batch pipelines
  • All export formats
Get 6,000 minutes

FAQ

Batches of long files, answered.

Can I upload a folder of long recordings in one go?

Yes, through Google Drive: share the folder with anyone who has the link and paste that link. Its recordings are pulled in and transcribed as separate files. For files that are not in Drive, upload them one after another; each runs as its own job.

What does a batch of thirty 90-minute interviews cost?

Thirty times 90 minutes is 2,700 minutes. Packs start at $4 for 300 minutes. Packs are one-time payments and credits never expire.

How long will the batch take?

Each file takes about 2 minutes per hour of audio once it has arrived, so a 90-minute interview is ready in about 3 minutes and a 6-hour session in about 12. For a big set, the time spent uploading from your machine is often longer than the transcription itself, which is why folder and feed links help.

Some of my files are over 2 GB or over 10 hours.

Large files start with or without a pack, and every file can go to 5 GB. A recording longer than 10 hours has to be cut into two files at a natural break. Extracting audio from long video shrinks it to a small fraction of its size.

Our team records every week. Is there something besides packs?

Packs suit a one-off batch. A team that records every week can use the $19 per month Workspace instead. Either way, recordings are transcribed on our own servers and are never used for training.

Do the files need to be in the same language?

No. Each file is detected on its own, from 99 languages, so an English interview and a Spanish one can sit in the same folder. A recording that switches language is detected on its main language, and English terms inside other languages are handled.

Related

Related answers about large batches.

A whole stack of recordings. One pack, every file transcribed.

Start with the first file

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