Technology comparison

Whisper vs Adobe's Speech to Text engine

Not a product comparison — a look at the two underlying speech-recognition technologies themselves, and what that means for editors choosing between them.

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The core difference

Adobe's Speech to Text is a proprietary engine tuned for a defined, smaller set of languages. Whisper is an openly published model trained on a very large, multilingual dataset covering 99 languages, and has become a widely used reference point for transcription accuracy across the AI research community.

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Language breadth

Whisper: 99 languages. Adobe Speech to Text: roughly 16, at time of writing.

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Robustness to accents & noise

Whisper's broad training data tends to make it handle accented speech and imperfect audio noticeably well.

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Openness

Whisper is open-source and can run locally; Adobe's engine is proprietary and only available through Adobe's own tools.

How to actually use Whisper in Premiere Pro

Whisper itself isn't a Premiere Pro feature — Adobe's built-in captions use Adobe's own engine, not Whisper. To get Whisper's accuracy and language coverage inside Premiere Pro, you need a plugin that wraps it, like CaptionLab, which runs Whisper locally and outputs directly to your timeline.

Frequently asked questions

Can I make Adobe's built-in captions use Whisper instead?
No — Adobe's Speech to Text feature uses Adobe's own engine and isn't configurable to use a different model. A separate plugin like CaptionLab is required to use Whisper inside Premiere Pro.
Is Whisper more accurate than Adobe's engine for English?
For English specifically, both are generally strong; the gap is much more noticeable outside Adobe's supported language list, where Adobe simply has no engine to compare.
Is Whisper free to use?
The model itself is open-source, but running it well (especially inside a real editing workflow) requires setup — CaptionLab packages that as a one-time $39 Premiere Pro plugin.

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