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Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
70
review score
Problem solved
It provides a free and open-source alternative to proprietary voice dictation tools like WisprFlow and Granola, addressing privacy concerns by offering fully offline transcription and no data collection.
Deployment reality
The available setup signal starts with: git clone https://github.com/OpenWhispr/openwhispr.git && cd openwhispr && npm install && npm run dev. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
OpenWhispr/openwhispr still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
OpenWhispr/openwhispr is tracked as a JavaScript project in the Infrastructure area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 4.9k total stars, with +0 today, +239 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 79 days ago, and the open issue queue is 255, about 5.21% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 702 forks and 4.9k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you have low tolerance for large unresolved issue queues.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 239. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
4.9k Stars
Reuse
702 Forks
Attention
4.9k Watchers
Maintenance
moderate
License
MIT
Open issues
255
OpenWhispr is an open-source, privacy-first voice-to-text dictation tool with AI agents, meeting transcription, and notes. It works cross-platform on macOS, Windows, and Linux, offering both local offline transcription and cloud processing.
Key Features
- Voice dictation with global hotkey and automatic pasting into any app - AI agent integration with GPT-5, Claude, Gemini, and local models - Meeting transcription with live speaker diarization and voice fingerprinting
Infrastructure
Cloud, deployment, networking, containers, and platform tooling
git clone https://github.com/OpenWhispr/openwhispr.git && cd openwhispr && npm install && npm run dev63
Health Score
Moderate
Commit Activity
Jun 19, 2025
Created
Jul 26, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
OpenWhispr
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License
✓
Forked
~ Moderate
Maintained