GraphCanon updated 3w · GitHub synced 3w
Decision brief
Hyprwhspr is a native speech-to-text tool for Linux that prioritises privacy and system-wide dictation capabilities.
Good fit when
- Linux users require a fast, accurate speech-to-text solution with strong privacy features
- Projects need to support multiple Linux distributions out-of-the-box
Avoid when
- Development teams require real-time collaboration on transcriptions across platforms other than Linux
- Organisations have concerns about dependency management for specific Linux distros
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 3 low (3 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install hyprwhspr PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Fast, accurate system-wide dictation with emphasis on privacy, supporting multiple Linux distributions.
Capability facts
- Languages
- python
Source: github.language · Jul 31, 2026
Categories
Tags
README
Install
Arch Linux
On the AUR:
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# Or install for bleeding edge
yay -S hyprwhspr-git
Then run the interactive setup:
hyprwhspr setup
Ubuntu, Debian, Fedora, openSUSE
curl -fsSL https://hyprwhspr.com/install.sh | bash
Installs dependencies, clones to ~/.local/share/hyprwhspr/src, and walks you through setup.
Manual install
---
# Install dependencies for your distro
./scripts/install-deps.sh
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## License
MIT License - see [LICENSE](LICENSE) file.
For agents
This page has a .md twin and JSON over the API.