> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openwhispr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# FAQ

> Frequently asked questions about OpenWhispr.

<AccordionGroup>
  <Accordion title="Is OpenWhispr free?">
    Yes. OpenWhispr is open source and free to use. The free plan includes 2,000 words/week of cloud transcription, and local processing has no limits. Pro plans start at \$8/month for unlimited cloud transcription.
  </Accordion>

  <Accordion title="Which processing method should I use?">
    Use **local processing** for privacy and offline use. Use **cloud processing** for speed and convenience. See [cloud vs local](/guides/cloud-vs-local) for a detailed comparison.
  </Accordion>

  <Accordion title="Can I use OpenWhispr commercially?">
    Yes. The MIT license allows commercial use, modification, and distribution.
  </Accordion>

  <Accordion title="What languages are supported?">
    OpenWhispr supports 58 languages for transcription including English, Spanish, French, German, Chinese, Japanese, and more. Set your preferred language in settings or use auto-detect.
  </Accordion>

  <Accordion title="Where are my notes stored?">
    Notes are stored locally in SQLite. Cloud sync is optional — when signed in to OpenWhispr Cloud, notes are backed up to the cloud but local storage remains the primary copy.
  </Accordion>

  <Accordion title="Is my data secure?">
    With local processing, audio never leaves your device. With cloud processing, audio is sent to the transcription provider (OpenAI, Groq, etc.). OpenWhispr doesn't collect analytics or telemetry.
  </Accordion>

  <Accordion title="Does OpenWhispr need Input Monitoring on macOS?">
    No. OpenWhispr uses NSEvent monitors instead of CGEvent taps, so Input Monitoring permission is not required. Only Microphone and Accessibility permissions are needed (plus Screen Recording for meetings).
  </Accordion>

  <Accordion title="How does meeting transcription work?">
    OpenWhispr detects meetings automatically (Zoom, Teams, FaceTime, and browser-based calls). Audio is transcribed in real time with speaker labels, and Google Calendar can optionally fill in meeting titles and attendees. See [meeting transcription](/guides/meeting-transcription) for details.
  </Accordion>
</AccordionGroup>