openwhispr: Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK)

by OpenWhispr · Agent Tool · ★ 8.4k

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How to install openwhispr

git clone https://github.com/OpenWhispr/openwhispr.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aianthropiccross-platformgeminigroqlinuxmacosnvidiaopen-sourceopenai

Quick Facts

Stars8,372
Forks1,030
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score62/100
Open Issues338
Last Updated2026-09-19
Created2025-06-19
Platformsgemini, node
Est. Tokens~15k

About openwhispr

OpenWhispr The open-source and free alternative to WisprFlow and Granola. Privacy-first voice-to-text dictation with AI agents, meeting transcription, and notes. Cross-platform for macOS, Windows, and Linux. Website &middot; Docs &middot; Download &middot; <a href="https://docs.openwhispr.com/api/ov

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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