Pepys
9,438,517minutes transcribed

The ready-to-use OpenAI Whisper alternative

Get diarized, timestamped transcripts with summaries and exports – no Python, PyTorch or GPU to manage. Upload a file or paste a link, and pay once for credits that never expire.

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Is Pepys a good OpenAI Whisper alternative?

Pepys is a ready-to-use alternative to OpenAI Whisper for anyone who'd rather not self-host. Whisper is an open-source model you run yourself with Python, PyTorch and ideally a GPU; Pepys is a web app with diarization, summaries and exports built in. Buy credits once and they never expire. 60 minutes free, no card.

OpenAI Whisper is one of the most accurate open speech models you can self-host. The large-v3 checkpoint and the faster large-v3-turbo variant are both MIT-licensed for code and weights, so you can run them almost anywhere. The catch is that Whisper is a model, not an app: you install Python, PyTorch and ffmpeg, drive it from the CLI, and ideally point it at a GPU. Diarization isn't built in, so speaker labels mean bolting on a separate tool like pyannote. And the hosted API caps uploads at 25 MB per request.

Pepys is what you reach for when you just want the transcript. You get the same kind of accurate, timestamped output across ~99 languages, but as a web app with speaker labels, AI summaries, chapters, chat and one-click exports already built in. Upload a file or paste a YouTube or podcast link – long files are chunked and stitched automatically, with no per-request size cap. You buy credits once, they never expire, and we never train on your audio or text. Start with 60 minutes free, no card.

Pepys vs OpenAI Whisper, side by side

OpenAI Whisper vs Pepys, head to head

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Feature comparison of Pepys and OpenAI Whisper
FeaturePepysOpenAI Whisper
What it isReady-to-use web app – nothing to installOpen-source speech-to-text model, plus OpenAI's hosted API
Setup requiredNone – sign up and transcribe in your browserSelf-host: Python 3.8–3.11, PyTorch and ffmpeg (rust may also be needed)
Consumer app / interfaceFull web app, works on any device (no install)No official GUI – CLI and Python only (open-source)
Hardware / GPUNone – runs in the cloud on any deviceRuns on CPU; a GPU is recommended for speed
Pricing modelPay-as-you-go credits, bought once – they never expireOpen-source model free to self-host (MIT); hosted API billed per minute/token
Cost per minuteAbout $1/hour (from $0.85/hr at volume), everything includedSelf-host: free. API: whisper-1 $0.006/min; gpt-4o-mini-transcribe ~$0.003/min (est., token-billed)
Speaker labels / diarizationYes – on every transcript, automaticallyNot built into the open-source model (add pyannote); OpenAI's hosted API now offers built-in diarization
Languages99+, auto-detected~99 (English plus 98 other languages)
Paste a link to transcribeYes – YouTube, podcasts, social, and moreNo – local audio files only, no built-in URL / YouTube ingestion
Max file size per uploadNo limit – long files chunked and stitched automaticallyHosted API: 25 MB per request; self-host limited by your own hardware
Built-in AI summaries & chatYes – summaries, chapters, and chat with the transcriptTranscription only
Trains AI on your data?Never – we don't train on your audio or textSelf-host: stays on your machine. API: not used for training by default (opt-in only)

Why people switch to Pepys

  • No setup – there's nothing to install. No Python, PyTorch, ffmpeg or GPU; you sign up and transcribe in your browser on any device.

  • Diarization, summaries, chapters and chat come built in. With open-source Whisper you'd assemble those from separate tools like pyannote.

  • Paste a YouTube, podcast or social link, or upload files of any length – long files are chunked and stitched automatically, with no 25 MB per-request limit.

  • Pay once for credits that never expire, and we never train on your audio or text.

Any language – 99+ detected automatically

Common questions about OpenAI Whisper and Pepys

Is Pepys better than OpenAI Whisper?

For most people who'd rather not run Python, PyTorch and a GPU, yes – Pepys gives you speaker labels, AI summaries and one-click exports in the browser, with pay-once credits that never expire. But open-source Whisper is genuinely the better choice when you want a free, MIT-licensed model to fine-tune, or to run fully offline on your own hardware.

Do I need a GPU or any coding to use Pepys?

No. Whisper's open-source models run best with Python, PyTorch, ffmpeg and ideally a GPU. Pepys is a web app – you sign up, upload a file or paste a link, and transcription runs in the cloud. It works on any device with no install and nothing to configure.

Can Pepys label speakers like Whisper plus pyannote?

Yes, and it's built in. Open-source Whisper doesn't diarize on its own, so speaker labels usually mean adding a separate tool like pyannote. Pepys puts speaker labels on every transcript automatically, alongside timestamps, summaries and exports, with no extra pipeline to assemble.

Is the OpenAI Whisper API cheaper than Pepys?

Per minute, often yes – whisper-1 is about $0.006 a minute, and gpt-4o-mini-transcribe works out to roughly $0.003 a minute (an estimate, since it's billed per token). But that's the raw model only, with a 25 MB per-request limit and no app around it. Pepys bundles speaker labels, summaries, link ingestion and exports for about $1 an hour, and your credits never expire.

Can I export transcripts in the same formats as Whisper?

Yes, and more. Whisper's CLI writes TXT, VTT, SRT, TSV and JSON. Pepys exports TXT, Markdown, DOCX, PDF, SRT, VTT and open JSON, so subtitles, documents and developer-friendly output are all one click away.

Is it free to try?

Yes. Your first 60 minutes are free with no card required, so you can compare Pepys' transcripts against your own Whisper output before you pay. After that you buy credits once – 1 credit is 1 minute, and they never expire.

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