This repository provides a tool for creating audio steganography by converting text into spectrogram images and generating audio from these images. Additionally, it supports converting uploaded images into audio and displaying spectrograms for uploaded audio files. The project uses Python libraries such as librosa, matplotlib, PIL, and Gradio to provide an easy-to-use interface for these tasks.
- Text to Audio & Spectrogram: Convert text into a spectrogram image and generate corresponding audio.
- Image to Audio: Convert an uploaded image into audio.
- Audio Spectrogram: Display the spectrogram for uploaded audio files.
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Clone the repository:
git clone https://github.com/Bebra777228/Audio-Steganography.git cd Audio-Steganography -
Install dependencies:
pip install -r requirements.txt
To launch the Gradio interface, run:
python txt2spec.pyThis will open a local Gradio interface where you can interact with the following tabs:
- Enter text and adjust parameters such as image width, height, font size, margin, and letter spacing.
- Click Generate to create an audio file and its spectrogram.
- Upload an image and click Convert to audio to generate an audio file based on the spectrogram.
- Upload an audio file and click Show spectrogram to display its spectrogram image.
txt2spec.py: Main script containing functions for text-to-spectrogram and image-to-audio conversions, and Gradio interface setup.
- Python 3.7+
numpymatplotlibPillowlibrosasoundfiletempfilegradiooslogging
The Gradio interface includes the following components:
- Text to Spectrogram: Converts text into audio and generates a spectrogram.
- Image to Spectrogram: Converts uploaded images to audio.
- Audio Spectrogram: Displays spectrograms of uploaded audio files.
This project is open-source under the MIT License. See the LICENSE file for more details.