For academics

Stop re-listening to your own lectures.

Turn every lecture, seminar, interview, or field recording into searchable text — then chat with Claude about any moment. Built for professors, researchers, grad students, and scientists.

Upload a lecture — first hour free See a sample lecture transcript →

Your audio stays private 3-hour lectures welcome 90+ languages No card required

What you get

Your recordings, finally searchable.

Upload once. Skim in minutes instead of re-listening. Jump to any moment, export anywhere, ask AI the questions you'd ask a research assistant.

Skim in minutes.

Every recording becomes a structured transcript with timestamps and chapter markers. Scan a 90-minute lecture in under five.

Ask Claude anything.

"What did I say about gradient descent?" → instant answer with a timestamp you can jump to. Use it like a research assistant who read the whole thing.

Export anywhere.

PDF, Word, Markdown, subtitles. Paste straight into Notion, LaTeX, Obsidian, or your course-materials folder.

Privacy by default.

Your audio is yours. We run open-source Whisper on private infrastructure — never sent to OpenAI or Google. Delete any file with one click.

Use cases

Three kinds of academic work, one workflow.

The job-to-be-done changes, but the mechanics don't: record or upload, skim, ask, cite.

Professors

Reuse last semester's lectures as draft course notes.
Build a searchable archive of every class you've taught.
Answer student questions by pointing at the exact minute.

Researchers

Transcribe qualitative interviews with verbatim accuracy.
Search a semester's worth of seminar Q&A in one pass.
Cite a speaker's exact words and timestamp in your paper.

Grad students

Turn dissertation committee meetings into reviewable transcripts.
Never miss an advisor's side comment about your chapter.
Send your supervisor a single-link summary instead of raw audio.

Typical workflow

Drop a file. Skim. Ask.

No setup, no plugins to install, no command line.

Upload or paste a link

.mp3, .m4a, .wav, .mp4 — drag and drop, or paste a Zoom / YouTube URL. No file-size limit for paid tiers.

Transcript in minutes

Speaker labels, per-word timestamps, chapter-style structure. A 60-minute lecture lands in roughly a minute.

Chat, export, share

Ask Claude about any moment, export to PDF / Word / Markdown, or share a read-only link with a colleague or student.

Pricing

Honest pricing. Academic-friendly.

Start free, scale up when your semester needs it. Credits never expire. Write to us with a .edu address for an education discount — we read every email.

Free

Kick the tyres on a single lecture.

$0always

1 hour / month · no credit card

Full speaker labels & timestamps
Every export format
Chat with your transcript

Start free

Pro

For a semester's worth of classes.

$8/ month

Up to 100 hours a month

Everything in Free
100 hours of audio / month
Priority processing queue
Long-lecture support (3+ hours)

Go Pro

Department / Lab

Shared seat plan for a research group.

Custom

Volume + educational discount

Shared billing across seats
Higher monthly cap
Purchase-order friendly invoicing
White-glove onboarding for labs

Educational discounts available for verified faculty and .edu email addresses. Write to contact@neugence.ai — include your role and your institution, we'll reply the same day.

Frequently asked

What academics ask us first.

Does Whipscribe work on 3-hour lectures?

Yes. We chunk long recordings automatically — there's no hard length limit. A 3-hour lecture transcribes in roughly 3–5 minutes on our Pro tier.

Can I upload a YouTube URL of my recorded talk?

Yes. Paste a YouTube, Vimeo, or direct .mp3/.m4a/.mp4 URL and we pull the audio for you — no manual download step.

Is my audio private?

Yes. We run open-source Whisper on private infrastructure — your audio is never sent to OpenAI, Google, or any third-party transcription service. Delete any file at any time.

Can I cite a specific timestamp?

Every line of the transcript is anchored to a word-level timestamp. You can quote the speaker verbatim and link to the exact second in the recording.

Do you support non-English lectures?

Yes. Whisper handles 90+ languages out of the box, from Mandarin and Arabic to Hindi, Spanish, and Swahili. Mixed-language lectures work too — we auto-detect switches.