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handy-computer/transcribe.cpp

ggml speech-to-text inference for 16+ model families

C++ ◇ asr MIT

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★2KSTARS

⑂109FORKS

!38ISSUES

🏆#1,899GLOBAL RANK

🔥5DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for handy-computer/transcribe.cpp

Momentum

+49

STARS · LAST 30 DAYS

PER DAY

#131

MOST-STARRED C++

Window	7 days	30 days	90 days
Stars gained	+14	+49	+180
Per day	2	2	2
Forks gained	+1	+3	+10

transcribe.cpp gained 49 stars in the last 30 days, about 2 a day, and now has 2K. It is about 1 year old and has averaged roughly 2K stars a year. It ranks #131 among C++ repositories and #1,899 across all languages on GitHubRepo.

Trending Record

transcribe.cpp has maintained a continuous presence across global trending indexes, peaking at #827. Below is the 30-day activity profile:

💡 Overview

transcribe.cpp is an open-source project written in C++: ggml speech-to-text inference for 16+ model families.

Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, ggml, gguf. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in C++ for predictable speed.

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

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

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

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

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ git clone https://github.com/handy-computer/transcribe.cpp.git
cd transcribe.cpp

$ git clone https://github.com/handy-computer/transcribe.cpp.git
cd transcribe.cpp

> git clone https://github.com/handy-computer/transcribe.cpp.git
cd transcribe.cpp

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

transcribe.cpp coordinates its core functionality through a modular C++ 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

Production System Integration

Embed transcribe.cpp into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

Install transcribe.cpp using your package manager: `git clone https://github.com/handy-computer/transcribe.cpp.git`

Initialize your project workspace or configuration file for transcribe.cpp.

Import transcribe.cpp into your codebase or invoke it directly from your terminal.

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

👍 Strengths

Active community backing with 1,958 GitHub stars and verified adoption.

Permissive open-source distribution under the MIT license.

Built in C++ 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 C++ 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 C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

handy-computer/transcribe.cpp is currently ranked #1,899 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#1,893	apple/swift-openapi-generator	Swift	★ 2K	Compare ↗
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#1,896	Ragnt/AngryOxide	Rust	★ 2K	Compare ↗
#1,899	handy-computer/transcribe.cpp This Project	C++	★ 2K
#1,899	d99kris/nchat	C++	★ 2K	Compare ↗
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Frequently Asked Questions

What does transcribe.cpp do? +

ggml speech-to-text inference for 16+ model families

What language is transcribe.cpp written in? +

The primary language is C++. Topics include: asr, ggml, gguf, speech-to-text.

Is transcribe.cpp actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 38 open issues being tracked.

How many stars does transcribe.cpp have? +

transcribe.cpp has 1,966 stars and 109 forks on GitHub.

How does transcribe.cpp rank among GitHub repositories? +

With 1,966 stars, handy-computer/transcribe.cpp is ranked #1,899 globally across all repositories tracked on GitHubRepo and #131 among C++ projects.

What license is transcribe.cpp distributed under? +

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

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💼

LinkedIn

Why transcribe.cpp is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 1,966 developers have starred handy-computer/transcribe.cpp, an impressive C++ open-source project designed to ggml speech-to-text inference for 16+ model families.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 1,966 GitHub stars and 109 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/handy-computer/transcribe.cpp
⭐ GitHub Repository: https://github.com/handy-computer/transcribe.cpp

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #C

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: transcribe.cpp – A free, self-hosted tool that lets you ggml speech-to-text inference for 16+ model families

Hey everyone,

I wanted to share an interesting open-source project called **transcribe.cpp** (https://github.com/handy-computer/transcribe.cpp) that has been picking up heavy momentum lately (1,966 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. transcribe.cpp was built with a local-first philosophy, allowing developers to ggml speech-to-text inference for 16+ model families without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** C++
- **License:** MIT
- **GitHub:** [handy-computer/transcribe.cpp](https://github.com/handy-computer/transcribe.cpp)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/handy-computer/transcribe.cpp](https://githubrepo.cloud/repo/handy-computer/transcribe.cpp)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: transcribe.cpp – ggml speech-to-text inference for 16+ model families

Hi HN,

transcribe.cpp is an open-source C++ project designed to ggml speech-to-text inference for 16+ model families.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/handy-computer/transcribe.cpp
Documentation & Metrics: https://githubrepo.cloud/repo/handy-computer/transcribe.cpp

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, c, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet transcribe.cpp (1,966 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet transcribe.cpp
published: true
tags: opensource, c, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[handy-computer/transcribe.cpp](https://github.com/handy-computer/transcribe.cpp)**, a rapidly rising repository with **1,966 GitHub stars** and **109 forks**.

### What is transcribe.cpp?

> ggml speech-to-text inference for 16+ model families

Written in **C++**, transcribe.cpp runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in C++.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#1,899** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/handy-computer/transcribe.cpp).

### Quick Start
To get started locally:

```bash
git clone https://github.com/handy-computer/transcribe.cpp.git
cd transcribe.cpp
```

Check out the full repository and star history analytics here:
- **GitHub:** [handy-computer/transcribe.cpp](https://github.com/handy-computer/transcribe.cpp)
- **Star Velocity Tracker:** [transcribe.cpp on GitHubRepo.cloud](https://githubrepo.cloud/repo/handy-computer/transcribe.cpp)

𝕏

X / Twitter Communities

Thread / Community Post for transcribe.cpp

Developers are sleeping on this GitHub repo 👇

handy-computer/transcribe.cpp (1,966 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: ggml speech-to-text inference for 16+ model families
💻 Built with: C++
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/handy-computer/transcribe.cpp

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out handy-computer/transcribe.cpp.

It already has over 1,966 stars and lets you ggml speech-to-text inference for 16+ model families.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/handy-computer/transcribe.cpp

From our network

handy-computer/transcribe.cpp

Star History

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💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Production System Integration

CI/CD Automated Pipelines

Developer Tooling & Workflows

Open Source Extension

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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