# Whisper privacy rating

Open-source speech recognition model and Python command-line tool from OpenAI that transcribes and translates audio in many languages on the local computer.

## Summary

Whisper 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. It is based in the United States: Five Eyes member; subject to the US CLOUD Act.

- Website: https://github.com/openai/whisper
- Source code: https://github.com/openai/whisper
- License: MIT
- Jurisdiction: United States. Five Eyes member. Subject to the US CLOUD Act.
- Platforms: Windows, macOS, Linux
- Category: [Dictation and transcription](https://privacyratings.com/speech-to-text/)
- Grade: B (87/100)

## Criteria

| Criterion | Answer | Note | Evidence |
| --- | --- | --- | --- |
| Open source | Yes | Code and model weights are MIT-licensed. | https://github.com/openai/whisper/blob/main/LICENSE |
| No trackers or telemetry | Yes | No telemetry or analytics in the source code. | https://github.com/openai/whisper |
| No ads or data sales | Yes | Free open-source software with no ads. | https://github.com/openai/whisper |
| Independent audit | No | No independent audit is published. |  |
| Runs on the device | Yes | The model runs on the local computer; audio is not sent to a server. | https://github.com/openai/whisper |
| No training on recordings | Yes | Processing is entirely local. | https://github.com/openai/whisper |

Source: https://privacyratings.com/speech-to-text/whisper/
Edit: https://github.com/privacyratings/privacyratings.com/edit/main/ratings/speech-to-text/whisper.md