Privacy Ratings

Dictation and transcription

whisper.cpp privacy rating

C/C++ port of OpenAI's Whisper speech recognition model that runs transcription on the CPU or GPU of the local device. Used as a library and command-line tool, and as the engine inside many dictation apps.

License: MITPlatforms: Windows · macOS · Linux

Summary

whisper.cpp scores 87 out of 100 (grade B) on the dictation and transcription criteria. It meets 5 of 6 criteria: open source, no trackers or telemetry, no ads or data sales, runs on the device and no training on recordings. It does not meet independent audit.

Score 87 out of 100. How scoring works

Criteria

  • Yes

    Open source Weight 3 of 3

    Is all the source code needed to run the product public?

    MIT license.

    github.com

  • Yes

    No trackers or telemetry Weight 3 of 3

    Are the website and apps free of third-party trackers, with any analytics anonymous and any telemetry off by default?

    No telemetry or analytics in the source code.

    github.com

  • Yes

    No ads or data sales Weight 2 of 3

    Is the product funded without advertising, ad targeting or selling user data?

    Free open-source software with no ads.

    github.com

  • No

    Independent audit Weight 2 of 3

    Has an independent security or privacy audit been published within the last three years?

    No independent audit is published.

  • Yes

    Runs on the device Weight 3 of 3

    Is speech converted to text on the device, without sending audio to a server?

    Inference runs entirely on the local device.

    github.com

  • Yes

    No training on recordings Weight 2 of 3

    Are recordings and transcripts kept out of model training by default?

    Processing is entirely local.

    github.com

Other dictation and transcription

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