easytranscribe
Advanced tools
Easy speech-to-text transcription from audio files or live microphone input using Whisper.
A simple Python-based voice assistant that captures speech from your microphone or from recorded file, detects silence, and transcribes spoken words to text using OpenAI Whisper. Easily extensible for integration with LLMs like Ollama or Gemma.
Clone the repository:
git clone https://github.com/akhshyganesh/easytranscribe.git
cd easytranscribe
Install dependencies:
pip install -r requirements.txt
Run the main script:
python main.py
Speak into your microphone. The assistant will automatically stop recording after a few seconds of silence and transcribe your speech.
Easy speech-to-text transcription from audio files or live microphone input using OpenAI's Whisper.
pip install easytranscribe
Live microphone transcription:
from easytranscribe import capture_and_transcribe
# Start live transcription (speaks and waits for silence)
text = capture_and_transcribe(model_name="base")
print(f"You said: {text}")
Audio file transcription:
from easytranscribe import transcribe_audio_file
# Transcribe an audio file
text = transcribe_audio_file("path/to/audio.wav", model_name="base")
print(f"Transcription: {text}")
View transcription logs:
from easytranscribe import view_logs
# View today's logs with statistics
logs = view_logs(date="today", stats=True)
print(f"Total entries: {logs['total_count']}")
Live transcription:
easytranscribe live --model base
File transcription:
easytranscribe file path/to/audio.wav --model base
View logs:
# View today's logs
easytranscribe logs --date today --stats
# View last 10 entries
easytranscribe logs --tail 10
# List available log dates
easytranscribe logs --list-dates
| Model | Size | Speed | Accuracy | Use Case |
|---|---|---|---|---|
tiny | 39MB | Fastest | Good | Real-time, low resource |
base | 74MB | Fast | Better | Balanced performance |
small | 244MB | Medium | Good | Higher accuracy |
medium | 769MB | Slow | Very Good | Professional use |
large | 1550MB | Slowest | Best | Maximum accuracy |
turbo | 809MB | Fast | Excellent | Best balance (default) |
The package automatically handles:
Transcriptions are automatically logged to logs/transcription_YYYY-MM-DD.log with:
git clone https://github.com/akhshyganesh/easytranscribe.git
cd easytranscribe
pip install -e .
python test/test_integration.py
For comprehensive documentation, examples, and API reference, visit:
🌐 EasyTranscribe Documentation
The documentation includes:
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
Easy speech-to-text transcription from audio files or live microphone input using Whisper.
We found that easytranscribe demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Five malicious NuGet packages impersonate Chinese .NET libraries to deploy a stealer targeting browser credentials, crypto wallets, SSH keys, and local files.
Security News
pnpm 11 turns on a 1-day Minimum Release Age and blocks exotic subdeps by default, adding safeguards against fast-moving supply chain attacks.
Security News
The remediated findings include organization permission bugs, stale project access after transfers, OIDC replay edge cases, audit logging gaps, and an IDOR in API token deletion.