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๐ŸŽ™๏ธ Transcribe Audio from .mov Files Locally with OpenAI Whisper

๐ŸŽ™๏ธ Transcribe Audio from .mov Files Locally with OpenAI Whisper Whisper, a state-of-the-art speech recognition library by OpenAI, makes it incredibly easy to transcribe audio from .mov files on your local machine. Follow this step-by-step guide to get started!

๐ŸŽ™๏ธ Transcribe Audio from .mov Files Locally with OpenAI Whisper

Whisper, a state-of-the-art speech recognition library by OpenAI, makes it incredibly easy to transcribe audio from .mov files on your local machine. Follow this step-by-step guide to get started! ๐Ÿš€


1. ๐Ÿ› ๏ธ Install Required Libraries

Before diving in, ensure you have Python installed. Then, use the following command to install the necessary libraries:

pip install whisper ffmpeg-python

๐Ÿ’ก Pro Tip: You may also need to install ffmpeg to process .mov files. Install it via your package manager:

  • macOS: brew install ffmpeg

  • Linux: sudo apt-get install ffmpeg

transcribe audio from 1

2. ๐Ÿ“ Convert and Transcribe the **.mov** File

Use the following Python script to extract audio from your .mov file and transcribe it:

import whisper
import subprocess

Path to your .mov file

mov_file = "your_file.mov"
audio_file = "temp_audio.wav"

Extract audio using ffmpeg

subprocess.run(["ffmpeg", "-i", mov_file, "-ar", "16000", "-ac", "1", "-q:a", "3", "-acodec", "pcm_s16le", audio_file])

Load the Whisper model

model = whisper.load_model("base") # Use 'small', 'medium', or 'large' for more accuracy
result = model.transcribe(audio_file)

Print the transcription

print(result["text"])

๐Ÿ›‘ Pauses to Check

  • After audio extraction: Ensure the file temp_audio.wav is created successfully.

  • Model loading: Whisper may take a moment to load the model, especially for the first time.

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3. ๐Ÿ’ก Key Notes

  • Replace "your_file.mov" with the actual path to your .mov file.

  • Whisper supports multiple languages and model sizes for improved transcription accuracy. Experiment with these options for your needs.

  • Once transcription is done, you can safely delete the temp_audio.wav file to save space.


๐Ÿ”— Connect with Me

Happy Transcribing! ๐ŸŽ‰

Semblance

rifaterdemsahin@Rifats-MacBook-Pro ~ % python3 vrollprocess.pl
Traceback (most recent call last):
File "/Users/rifaterdemsahin/vrollprocess.pl", line 1, in
import whisper
ModuleNotFoundError: No module named 'whisper'
rifaterdemsahin@Rifats-MacBook-Pro ~ %

It looks like you're trying to run a Python script but encountered an error because the whisper module isn't installed. You can fix this by installing the module. Here's how you can do it:

  • Open your terminal.

  • Run the following command to install the whisper module:

pip install whisper

After installing, try running your script again. If you encounter any other issues, feel free to ask!

pipx

transcribe audio from 3

transcribe audio from 4

Local environment python and davinci resolve issues > move to github codespaces


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