Side by side · updated 2026-08-06

Whipscribe vs Notta live capture versus the long file.

Notta is built around the moment someone is speaking — open it, record, watch the words arrive. Whipscribe is built around the hours of audio already sitting on a drive: a three-hour hearing, a term of lectures, forty unedited podcast masters. It is hosted, asynchronous, and it never listens live.

$24 / 5,000 minutes · about $0.29 an hour · Credits never expire · Never used to train AI
✓Multi-hour files, up to 10 hours · ✓99+ languages, auto-detected · ✓Chapters + accent-insensitive search · ✓Self-hosted Whisper

Concede the obvious

Notta records live. Whipscribe has nothing for that moment.

If what you want is to press record and watch the transcript appear while someone is still talking, use Notta — there is no live mode here, no mobile recorder and no desktop app, and no amount of framing changes that. Whipscribe is a hosted service that takes a file or a URL after the fact.

The reason the comparison is still worth making is that capture and comprehension are different problems, and the second one gets harder the longer the recording is. A ninety-second voice memo needs capture. A three-hour committee sitting needs structure, search, and a way to point at the exact line you are about to quote. That second job is the one this page is about.

Nothing in this sequence happens while someone is speaking.

The wedge

A three-hour recording is a different object.

Length changes what a transcript has to do. At three hours, plain text is not usable output — you need an outline, a way in, and a way to prove what you quote.

Chapters, so there is a way in

A long file arrives split into chapters with an executive summary and a key quote, so you can see the shape of three hours before reading a line of it. Speaker labels tell you who was talking in each stretch.

Search that survives other languages

Every line is searchable with its timestamp, and search ignores accents and case — typing codigo finds código. Transcription covers 99+ languages, auto-detected, and the transcript stays in the language it was spoken in.

Answers you can check

Ask a question of the transcript and the answer is grounded only in that recording. Each citation is a link: click it, the transcript jumps to that line and the audio plays from it. Machine transcription mishears names and figures, so listen before you quote — that is exactly why the citation is a link and not a page number.

Exports that keep the timings

TXT, DOCX, JSON, SRT and VTT, with timings intact — subtitles for the video team, JSON for a pipeline, DOCX for the person who wants a document. Organise transcripts into folders in the library and share a folder when someone else needs the set.

Side by side

Capability differences.

Only Whipscribe's column is a claim we can stand behind. Notta is described by the job it is built for rather than by prices or feature lists we would be guessing at — check notta.ai for the current state of their side.

CapabilityWhipscribeNotta
Shape of the productHosted async transcription of existing recordingsLive capture and note-taking across web and mobile
Live / real-time transcriptionNo — nothing runs while you speakYes, that is the core of it
Mobile or desktop recorderNo — browser, API or MCP onlyYes
Multi-hour single filesYes — up to 10 hours per fileSee their per-plan limits
Chapters on a long transcriptYes, plus summary and key quoteSee their documentation
Speaker labelsYes, with word-level timestampsSee their documentation
Accent-insensitive transcript searchYesSee their documentation
Answers that link to a clickable timestampYes — the audio plays from that line—
Paste a YouTube, podcast or RSS URLYesSee their supported inputs
Export formatsTXT, SRT, VTT, DOCX, JSONSee their documentation
Public REST APIYes — /docs, keys by requestSee their developer docs
MCP server for Claude and other agentsYes — whipscribe.com/mcp—
Batch submission in one callYes — transcribe_urls_batch + /batch progress—
Chrome extensionYes — pulls audio from the current tabSee their documentation
Where transcription runsOur own GPUs, open-source Whisper, never used to train a modelSee their privacy documentation
Pricing modelPacks from $4, then one-time minute packs from $4, no seats, credits never expireSubscription plans — check their pricing page

Where each tool wins

Honest call.

Pick by where your audio comes from. If it arrives as you speak, that is a capture problem. If it arrives as a file, that is an archive problem.

NottaRecords live

Where it wins
  • Transcript appearing while someone is talking
  • Recording on a phone, in the room
  • Short meetings and quick voice notes
  • Capture-first workflows with nothing pre-existing
Where it does not help
  • Hundreds of files submitted in one go
  • An archive you want searchable as a set
  • Agent and pipeline work over the whole corpus
Visit Notta →

Whipscribe$24 / 5,000 min

Where it wins
  • Multi-hour recordings, up to 10 hours per file
  • Chapters, summary, key quote on long files
  • Speaker labels and word-level timestamps
  • Accent-insensitive search across 99+ languages
  • Citations that play the audio from that line
  • REST API, MCP server, Chrome extension
Where it loses
  • Live transcription while speaking (Notta wins)
  • Recording on a phone in the room (Notta wins)
  • Anything needing an on-device app (Notta wins)
Try Whipscribe →

Worked example

What long-form work actually costs.

Credits are metered per minute of audio, so the price of a job is the length of the recording and nothing else.

A term of lectures

40 recordings at 90 minutes is 3,600 minutes, inside one $24 pack of 5,000 minutes at roughly $0.29 an hour. Chapters turn each 90-minute session into something you can revise from.

A season of a podcast

24 episodes at 65 minutes is 1,560 minutes, inside the $12 pack of 2,000 minutes (about 33 hours). Export SRT for the video cut and DOCX for the show notes from the same transcript.

One committee hearing

A sitting of at any length can be your free summary. After that, the $8 pack of 1,000 minutes covers five more three-hour sittings — and the answer panel's citations mean you can quote the passage having heard it.

One file, to decide

Packs from $4, credits never expire. Put your worst audio through it — the crosstalk, the accents, the bad room — and judge the speaker labels on evidence rather than on this page.

Pricing

Three packs and a one-off unlock, no subscription.

Packs from $4, credits never expire. After that, every pack is a one-time purchase and credits never expire — you buy minutes and spend minutes, which suits work that arrives in bursts.

Unlock

$2/transcript

Opens one transcript in full. Adds no credit.

  • One transcript, read in full
  • Speaker labels + chapters
  • No minutes added to your balance
Unlock one transcript

Starter

$8/1,000 min

About 16 hours — a few hearings and a stack of lectures.

  • 1,000 minutes of audio
  • Transcript search + Ask AI
  • All export formats
Get 1,000 minutes

Pro

$12/2,000 min

About 33 hours — roughly $0.36 an hour.

  • 2,000 minutes of audio
  • Priority queue
  • Chapters, search, timestamped answers
Get 2,000 minutes

Team

$24/5,000 min

About 83 hours — roughly $0.29 an hour.

  • 5,000 minutes of audio
  • API access for batch pipelines
  • MCP server for Claude and other agents
Get 5,000 minutes

FAQ

Notta vs Whipscribe questions.

Does Whipscribe do live transcription like Notta?

No. Notta captures audio as it is being spoken; Whipscribe has nothing for that moment — no live mode, no mobile recorder, no desktop app. If you want words appearing on screen while someone talks, Notta is the right tool. Whipscribe starts once a recording exists.

Then why choose Whipscribe?

Because the hard part of a three-hour recording is not getting words on a page — it is finding the line again. Whipscribe gives a long file speaker labels, chapters, accent-insensitive full-text search, and an answer panel whose citations link to the exact line so the audio plays from it. Plus five export formats, a documented REST API and an MCP server.

How long a file can I submit?

Up to 10 hours or 5 GB per file, so multi-hour single-session recordings are the normal case — full-day conferences, committee hearings, lecture series, unedited podcast masters. Before you buy credits, files can run up to 3 hours; longer files need credits. The box on this page takes files up to 500 MB, and larger files continue on the upload page. Timestamps run the whole way through.

Does it work in languages other than English?

Over 100 languages, auto-detected, and the transcript keeps the language it was spoken in. Search ignores accents and case, so typing codigo finds código — which matters as soon as your recordings are not all in English.

What does a term of lectures cost?

40 lecture recordings at 90 minutes is 3,600 minutes, which fits inside one $24 pack of 5,000 minutes at roughly $0.29 an hour. Packs from $4, credits never expire. After that there is no subscription, and credits never expire, so an uneven workload does not cost more than a steady one.

Where does my audio go?

Whipscribe runs open-source Whisper on our own GPUs. Your audio is not sent to a third-party transcription service and is never used to train a model. Query GET /api/v1/me for the exact retention window that applies to your account. There is also a Chrome extension if the audio you want is already playing in a tab.

Related

Related comparisons.

Notta catches the words. We make three hours of them usable.

Transcribe a recording

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