Hermes, the messenger of the gods, now brings you ultra-fast video transcription powered by cutting-edge AI! This Python library and CLI tool harnesses the speed of Groq and the flexibility of multiple providers to convert your videos into text with unprecedented efficiency.

• Blazing Fast: Transcribe a 393-second video in just 1 second with Groq's distil-whisper model!
• Multi-Provider Support: Choose from Groq (default), MLX Whisper, or OpenAI for transcription
• YouTube Support: Easily transcribe YouTube videos by simply passing the URL
• Flexible: Support for various models and output formats
• Python Library & CLI: Use Hermes in your Python projects or directly from the command line
• LLM Processing: Process the transcription with an LLM for further analysis

Install Hermes directly from GitHub using pip:

pip install git+https://github.com/unclecode/hermes.git

1. Basic transcription:

from hermes import transcribe

result = transcribe('path/to/your/video.mp4', provider='groq')
print(result['transcription'])

2. Transcribe a YouTube video:

result = transcribe('https://www.youtube.com/watch?v=v=PNulbFECY-I', provider='groq')
print(result['transcription'])

3. Use a different model:

result = transcribe('path/to/your/video.mp4', provider='groq', model='whisper-large-v3')
print(result['transcription'])

4. Get JSON output:

result = transcribe('path/to/your/video.mp4', provider='groq', response_format='json')
print(result['transcription'])

5. Process with LLM:

result = transcribe('path/to/your/video.mp4', provider='groq', llm_prompt="Summarize this transcription in 3 bullet points")
print(result['llm_processed'])

1. Basic usage:

hermes path/to/your/video.mp4 -p groq

2. Transcribe a YouTube video:

hermes https://www.youtube.com/watch?v=v=PNulbFECY-I -p groq

3. Use a different model:

hermes path/to/your/video.mp4 -p groq -m whisper-large-v3

4. Get JSON output:

hermes path/to/your/video.mp4 -p groq --response_format json

5. Process with LLM:

hermes path/to/your/video.mp4 -p groq --llm_prompt "Summarize this transcription in 3 bullet points"

For a 393-second video:

Test Hermes performance with different providers and models:

python -m hermes.benchmark path/to/your/video.mp4

or

python -m hermes.benchmark https://www.youtube.com/watch?v=v=PNulbFECY-I

This will generate a performance report for all supported providers and models.

• Unmatched Speed: Groq's distil-whisper model transcribes 393 seconds of audio in just 1 second!
• Flexibility: Choose the provider that best suits your needs
• Easy Integration: Use as a Python library or CLI tool
• YouTube Support: Transcribe YouTube videos without manual downloads
• Local Option: Use MLX Whisper for fast, local transcription on Mac or MPS systems
• Cloud Power: Leverage Groq's LPU for the fastest cloud-based transcription

Huge shoutout to the @GroqInc team for their incredible distil-whisper model, making ultra-fast transcription a reality!

We're living in amazing times! Whether you need the lightning speed of Groq, the convenience of OpenAI, or the local power of MLX Whisper, Hermes has got you covered. Happy transcribing!