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OpenWhispr
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OpenWhispr/openwhispr

Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.

JavaScript ◇ ai MIT
★8.6KSTARS
⑂1.1KFORKS
!380ISSUES
🏆#768GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for OpenWhispr/openwhispr
CSV

Momentum

+216

STARS · LAST 30 DAYS

7

PER DAY

#68

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+49+216+630
Per day777
Forks gained+5+21+53

openwhispr gained 216 stars in the last 30 days, about 7 a day, and now has 8.6K. It is about 1 year old and has averaged roughly 8.6K stars a year. It ranks #68 among JavaScript repositories and #768 across all languages on GitHubRepo.

Trending Record

openwhispr has maintained a continuous presence across global trending indexes, peaking at #94. Below is the 30-day activity profile:

💡 Overview

openwhispr is an open-source project written in JavaScript: Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, anthropic, cross-platform. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install openwhispr

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

openwhispr coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with openwhispr.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install openwhispr using your package manager: `npm install openwhispr`

2

Initialize your project workspace or configuration file for openwhispr.

3

Import openwhispr into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `openwhispr --help` to verify successful setup.

👍 Strengths

Active community backing with 8,547 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

OpenWhispr/openwhispr is currently ranked #768 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#763 kean/Nuke Swift ★ 8.7K Compare ↗
#764 groue/GRDB.swift Swift ★ 8.7K Compare ↗
#765 kunchenguid/no-mistakes Go ★ 8.7K Compare ↗
#766 open-pencil/open-pencil TypeScript ★ 8.7K Compare ↗
#767 tw93/MiaoYan Swift ★ 8.7K Compare ↗
#768 OpenWhispr/openwhispr This Project JavaScript ★ 8.6K
#769 symfony/http-foundation PHP ★ 8.6K Compare ↗
#770 stamparm/maltrail Python ★ 8.6K Compare ↗
#771 ellite/Wallos PHP ★ 8.6K Compare ↗
#772 Sylius/Sylius PHP ★ 8.5K Compare ↗
#773 reactiveui/ReactiveUI C# ★ 8.5K Compare ↗

Frequently Asked Questions

What does openwhispr do? +

Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.

What language is openwhispr written in? +

The primary language is JavaScript. Topics include: ai, anthropic, cross-platform, gemini, groq.

Is openwhispr actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 380 open issues being tracked.

How many stars does openwhispr have? +

openwhispr has 8,637 stars and 1,066 forks on GitHub.

How does openwhispr rank among GitHub repositories? +

With 8,637 stars, OpenWhispr/openwhispr is ranked #768 globally across all repositories tracked on GitHubRepo and #68 among JavaScript projects.

What license is openwhispr distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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