alexkroman/tiny-audio
A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo, and a free course.
⚡ Executive Summary & Quick Facts
Authoritative Sourcetiny-audio is tiny-audio is an open-source project written in Python: A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo, and a free course..
| Repository | alexkroman/tiny-audio ↗ |
|---|---|
| Primary Category | asr |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 173 stars · ⑂ 18 forks · #14,684 globally |
| Maintenance | ● Active (Last commit: Oct 16, 2026) · 2 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,890
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
tiny-audio gained 10 stars in the last 30 days, about 1 a day, and now has 173. It is about 1 year old and has averaged roughly 173 stars a year. It ranks #1,890 among Python repositories and #14,684 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#13176
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tiny-audio has maintained a continuous presence across global trending indexes, peaking at #13176. Below is the 30-day activity profile:
💡 Overview
tiny-audio is an open-source project written in Python: A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo, and a free course.
Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, audio-llm, forced-alignment. 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 Python 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
$ pip install tiny-audio⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tiny-audio coordinates its core functionality through a modular Python 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 tiny-audio.
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
Install tiny-audio using your package manager: `pip install tiny-audio`
Initialize your project workspace or configuration file for tiny-audio.
Import tiny-audio into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tiny-audio --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
alexkroman/tiny-audio is currently ranked #14,684 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,653 | coflyn/Mori | JavaScript | ★ 174 | Compare ↗ |
| #14,653 | nowledge-co/hawdb | Rust | ★ 174 | Compare ↗ |
| #14,653 | nixfred/blip | TypeScript | ★ 174 | Compare ↗ |
| #14,653 | reality-opened/openreality | Python | ★ 174 | Compare ↗ |
| #14,653 | WaEnhancerX/WaEnhancerX | Kotlin | ★ 174 | Compare ↗ |
| #14,684 | alexkroman/tiny-audio This Project | Python | ★ 173 | |
| #14,684 | erkyrath/quixe | JavaScript | ★ 173 | Compare ↗ |
| #14,684 | zohmg/zohmg | Python | ★ 173 | Compare ↗ |
| #14,684 | flori/term-ansicolor | Ruby | ★ 173 | Compare ↗ |
| #14,684 | weavejester/clucy | Clojure | ★ 173 | Compare ↗ |
| #14,684 | makandra/modularity | Ruby | ★ 173 | Compare ↗ |
Frequently Asked Questions
What does tiny-audio do? +
A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo, and a free course.
What language is tiny-audio written in? +
The primary language is Python. Topics include: asr, audio-llm, forced-alignment, huggingface, llm.
Is tiny-audio actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 2 open issues being tracked.
How many stars does tiny-audio have? +
tiny-audio has 173 stars and 18 forks on GitHub.
How does tiny-audio rank among GitHub repositories? +
With 173 stars, alexkroman/tiny-audio is ranked #14,684 globally across all repositories tracked on GitHubRepo and #1,890 among Python projects.
What license is tiny-audio distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
