🎙️ Speech-to-Text (Rust + Whisper)

A high-performance speech-to-text CLI tool written in Rust, powered by OpenAI Whisper.
Designed for fast, offline transcription with configurable sample rates and chunking.

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✨ Features

• 🚀 Fast Rust implementation
• 🎧 Offline speech recognition using Whisper
• 🔧 Configurable sample rate
• 🧩 Audio chunking support for long files
• 💻 Simple command-line interface

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📦 Requirements

• Rust (stable, latest recommended)
• Whisper model files (GGML / GGUF, depending on your setup, download model ggml-base.bin and put under models inside whisper-bin)
• Supported OS: Linux / macOS (Windows may work with setup)

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🔧 Installation

1️⃣ Clone the repository

git clone https://github.com/your-username/speech-to-text-rust.git cd speech-to-text-rust Build the project cargo build --release

The binary will be available at:

./target/release/speech-to-text-rust

▶️ Usage

Basic command:

./speech-to-text-rust --sample 48000 --chunks 2

Available Options Flag Description Example --sample Audio sample rate 48000 --chunks Number of chunks to split audio 2

Example:

./speech-to-text-rust --sample 48000 --chunks 2