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saurabhav88
Home / Swift / EnviousWispr

saurabhav88/EnviousWispr

Free, sub-second on-device AI dictation for macOS. Dual engines (Whisper + Parakeet) on Apple Silicon. Optional AI polish on your Mac with EG-1 or S1-mini by Superwhisper, Apple Intelligence (macOS 26), Ollama, or your own OpenAI/Gemini/Claude key. Snippets, custom words, no account, no subscription, audio never leaves your Mac.

Swift ◇ accessibility GPL-3.0
★158STARS
⑂13FORKS
!163ISSUES
🏆#5,638GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for saurabhav88/EnviousWispr
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#319

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

EnviousWispr gained 10 stars in the last 30 days, about 1 a day, and now has 158. It is about 1 year old and has averaged roughly 158 stars a year. It ranks #319 among Swift repositories and #5,638 across all languages on GitHubRepo.

Trending Record

EnviousWispr has maintained a continuous presence across global trending indexes, peaking at #3140. Below is the 30-day activity profile:

💡 Overview

EnviousWispr is an open-source project written in Swift: Free, sub-second on-device AI dictation for macOS. Dual engines (Whisper + Parakeet) on Apple Silicon. Optional AI polish on your Mac with EG-1 or S1-mini by Superwhisper, Apple Intelligence (macOS 26), Ollama, or your own OpenAI/Gemini/Claude key. Snippets, custom words, no account, no subscription, audio never leaves your Mac.

Engineered for speed, consistency, and developer ease, it solves common hurdles in accessibility, apple-silicon, coreml. 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 Swift 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
$ git clone https://github.com/saurabhav88/EnviousWispr.git
cd EnviousWispr

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

EnviousWispr coordinates its core functionality through a modular Swift 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 EnviousWispr.

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 EnviousWispr using your package manager: `git clone https://github.com/saurabhav88/EnviousWispr.git`

2

Initialize your project workspace or configuration file for EnviousWispr.

3

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

4

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

👍 Strengths

Active community backing with 158 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Swift 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 Swift 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 Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

saurabhav88/EnviousWispr is currently ranked #5,638 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,623 ilyas-hallak/romm-ios-app Swift ★ 159 Compare ↗
#5,623 tenstorrent/ttsim C++ ★ 159 Compare ↗
#5,623 krelltunez/dayGLANCE JavaScript ★ 159 Compare ↗
#5,623 whanyu1212/gem-dota Python ★ 159 Compare ↗
#5,623 ClawLabsAI/free-ai-models JavaScript ★ 159 Compare ↗
#5,638 saurabhav88/EnviousWispr This Project Swift ★ 158
#5,638 darashi/jpmobile Ruby ★ 158 Compare ↗
#5,638 eigenben/message_block Ruby ★ 158 Compare ↗
#5,638 taiga-family/ng-morph TypeScript ★ 158 Compare ↗
#5,638 dynatrace-oss/hash4j Java ★ 158 Compare ↗
#5,638 DJ-Raven/swing-modal-dialog Java ★ 158 Compare ↗

Frequently Asked Questions

What does EnviousWispr do? +

Free, sub-second on-device AI dictation for macOS. Dual engines (Whisper + Parakeet) on Apple Silicon. Optional AI polish on your Mac with EG-1 or S1-mini by Superwhisper, Apple Intelligence (macOS 26), Ollama, or your own OpenAI/Gemini/Claude key. Snippets, custom words, no account, no subscription, audio never leaves your Mac.

What language is EnviousWispr written in? +

The primary language is Swift. Topics include: accessibility, apple-silicon, coreml, dictation, macos.

Is EnviousWispr actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 163 open issues being tracked.

How many stars does EnviousWispr have? +

EnviousWispr has 158 stars and 13 forks on GitHub.

How does EnviousWispr rank among GitHub repositories? +

With 158 stars, saurabhav88/EnviousWispr is ranked #5,638 globally across all repositories tracked on GitHubRepo and #319 among Swift projects.

What license is EnviousWispr distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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