a. create helper function text to speech file under utils file b. create utils file under utils folder c. Start writing code under app file and copy paste tempplates file ( index.html)
- Project Speech to Text Conversion ( Added new features to store output in txt file)
a. create helper function text_to_speech_main file under utils file
This is a Python script that transcribes audio files to text using Google's speech recognition API. The script can handle audio files in WAV, MP3, M4A, OGG, or FLAC format.
The following libraries are required to run this script:
- SpeechRecognition
- Pydub
You can install these libraries using pip:
pip install SpeechRecognition pydub
To use the script, simply run main.py and follow the prompts:
python main.py-clone https://github.com/iamsamkhan/audio-to-text.git
The script will ask you to enter the path to the input audio file, the path to the output file, and the language code for the audio file.
The script first converts the input audio file to WAV format if necessary using the Pydub library. It then transcribes the audio data to text using the SpeechRecognition library and the Google speech recognition API. Finally, it writes the transcribed text to the output file.
This script can be useful for anyone who needs to transcribe audio files to text, such as researchers, journalists, and content creators. It provides a simple and efficient way to transcribe audio data, with support for multiple audio formats and languages.
| Language | Code |
|---|---|
| English (US) | en-US |
| English (UK) | en-GB |
| French | fr-FR |
| German | de-DE |
| Spanish | es-ES |
| Italian | it-IT |
| Japanese | ja-JP |
| Korean | ko-KR |
| Mandarin Chinese | zh-CN |
| Russian | ru-RU |
Note that this is not an exhaustive list of supported languages. For a full list of supported languages and their corresponding codes, see the SpeechRecognition documentation.
This project is licensed under the [MIT License].