Whisper · Offline

Run Whisper offline, right inside Premiere Pro

OpenAI's Whisper model is open — CaptionLab packages it to run completely offline on your own Mac or PC, with a native Premiere Pro panel on top.

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🛡 14-day refund · 🔒 100% offline · ⚡ One-time payment, no subscription

Offline Whisper, without setting it up yourself

Running Whisper locally normally means installing Python, managing dependencies, and writing your own script to hand it audio and get SRT files back. CaptionLab does all of that setup automatically and wraps it in a Premiere Pro panel.

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Python + Whisper, handled for you

CaptionLab installs a self-contained Python runtime and the Whisper model — no manual pip installs.

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Straight from your timeline

No manual audio export step — select a clip or sequence in Premiere, CaptionLab handles extraction and transcription.

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Clean SRT output

Word-level timestamps, segmented at clip boundaries, imported directly as a Premiere caption track.

Why not just run Whisper yourself?

You can — it's open source. CaptionLab exists for editors who want the accuracy of offline Whisper without maintaining a Python environment, writing glue scripts to interface with Premiere, or manually handling timecodes and clip boundaries.

Frequently asked questions

Is this the same Whisper model I'd get running it myself?
Yes — CaptionLab uses Whisper large-v2 via the same open faster-whisper/mlx-whisper implementations available publicly, just packaged for you.
Do I need to know Python to use this?
No — that's the point. Everything is handled through the Premiere Pro panel UI.
Can I use a different Whisper model size?
CaptionLab currently ships with large-v2 for the best accuracy/speed balance across supported hardware; other sizes aren't user-selectable at this time.

Offline Whisper, zero setup

One-time $39. Works offline. 14-day money-back guarantee.

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