tiny-transcriber 0.1.0

A lightweight speech transcription tool using OpenAI's Whisper

TinyTranscriber: A Lightweight Speech Transcription Tool

A simple, extensible Python tool that records audio from your microphone and transcribes it using OpenAI's Whisper API.

Features

• Record audio from your microphone
• Save recordings as WAV files
• Transcribe audio to text using OpenAI's Whisper

Prerequisites

• OpenAI API key

Installation

Install via pip:

pip install tiny-transcriber

Or install from source:

git clone https://github.com/brendanm12345/tiny-transcriber
cd tiny-transcriber
pip install -e .

Set your OpenAI API key:

export OPENAI_API_KEY='your-api-key'

Quick Start

from tiny_transcriber import TinyTranscriber

transcriber = TinyTranscriber()

# Start recording
transcriber.start_recording()

# Record for as long as needed
input("Press Enter to stop recording...")

# Stop and save recording
audio_file = transcriber.stop_recording("my_recording.wav")

# Transcribe the audio
transcript = transcriber.transcribe(audio_file)
print(transcript)

How It Works

The project uses several key Python libraries:

• pyaudio: Handles audio input from the microphone
• wave: Saves audio data in WAV format
• openai: Interfaces with OpenAI's Whisper API for transcription
• threading: Manages continuous audio recording