colombomf/audio-to-text

A Python script that utilizes moviepy, speech_recognition, and tqdm to convert audio files into text format and save it to a text file.

Audio-to-Text Extractor

This repository contains a Python script that extracts text from an audio file using the MoviePy, SpeechRecognition, and tqdm libraries. The extracted text is saved to a text file for further analysis or processing.

Installation

To use this script, you need to have Python installed on your system. You also need to install the required libraries by running the following command:

pip install moviepy speechrecognition tqdm

Usage

1. Import the necessary libraries:

import moviepy.editor as mp import speech_recognition as sr from tqdm import tqdm

2. Define the function extract_text_from_audio that takes the file path of the audio file as input and returns the extracted text:

`def extract_text_from_audio(file_path): # Load the video file clip = mp.VideoFileClip(file_path)

# Extract the audio from the video
audio = clip.audio

# Save the audio as a temporary file
audio_path = "temp_audio.wav"
audio.write_audiofile(audio_path)

# Initialize the recognizer
r = sr.Recognizer()

# Transcribe each chunk of audio
chunk_duration = 30  # Chunk duration in seconds
total_duration = clip.duration
chunks = int(total_duration / chunk_duration) + 1

text = ""

# Use tqdm to create a loading bar
with tqdm(total=chunks, desc="Processing", unit="chunk") as pbar:
    for i in range(chunks):
        start_time = i * chunk_duration
        end_time = min((i + 1) * chunk_duration, total_duration)
        
        with sr.AudioFile(audio_path) as source:
            audio = r.record(source, offset=start_time, duration=end_time - start_time)
            chunk_text = r.recognize_google(audio)
            text += chunk_text + " "
        
        pbar.update(1)  # Update the loading bar
        
return text` 

3. Specify the file path of the audio file you want to process:

file_path = "YOUR_AUDIO_FILE_HERE.mp4"

4. Call the extract_text_from_audio function with the file path as an argument to extract the text:

extracted_text = extract_text_from_audio(file_path)

5. Save the extracted text to a file:

output_file = "extracted_text.txt" with open(output_file, "w") as file: file.write(extracted_text)

6. Run the script and check the console for the path to which the extracted text is saved:

Text extracted and saved to: extracted_text.txt

Notes

• The script assumes that the input audio file is in MP4 format. If your file is in a different format, you may need to modify the code accordingly.
• The script splits the audio into chunks of 30 seconds for transcription. You can adjust the chunk_duration variable in the extract_text_from_audio function to change the chunk duration.
• The script uses the Google Web Speech API through the SpeechRecognition library for audio transcription. You may need an internet connection for the transcription to work.
• Make sure you have read and write permissions in the directory where the script is located, as well as the output file's location.

License

This project is licensed under the MIT License. Feel free to use and modify the code as per your needs.