🔐 Image Steganography Web App using AES Encryption

A lightweight and secure Streamlit web application that allows users to hide (encrypt) and retrieve (decrypt) secret messages inside images using LSB (Least Significant Bit) steganography and AES password encryption.

▶️ Launch App 🚀

Link : https://invisinote.streamlit.app

🚀 Features

• 📤 Upload an image and embed a message securely inside it.
• 🔒 AES encryption support using a password (optional but recommended).
• 📥 Download the final image with the hidden message.
• 🔓 Decrypt hidden messages from uploaded images.
• ⚠️ Detects if no hidden message is present.
• ✅ Works with PNG, JPG, JPEG, and BMP formats.

🖼️ Screenshots

🔹 Encryptor

🔹 Encryption Process

🔹 Decryptor

🧠 How It Works

1. Encryption Page:
   • Upload a cover image.
   • Enter a secret message and optionally a password.
   • The message is encrypted (if password is given) and hidden in the image using LSB.
   • Download the final stego-image.
2. Decryption Page:
   • Upload the stego-image.
   • If a password was used during encryption, enter the same password to reveal the original message.
   • If the password is incorrect or missing, the app will display incorrect or garbled output.
   • If no message is hidden, a warning like “No hidden message found in the image.” will appear.

⚙️ System Requirements

• Python 3.7+
• Compatible OS: Windows, macOS, Linux
• Web browser (Chrome, Firefox, etc.)

🧰 Required Libraries

Install all dependencies using:

pip install -r requirements.txt

requirements.txt:

streamlit
pillow
numpy
pycryptodome

🔐 Security Note

If an encrypted image is uploaded to the Decryptor without providing the correct password:

• The app will display incorrect or scrambled text.
• This is intentional to protect the confidentiality of the message.

Always keep your encryption password safe!

🧪 Run the App Locally

streamlit run app.py

👨‍💻 Developer

Project by Subhadeep Ghosh.
For contributions or issues, feel free to contact.

📌 Disclaimer

This project is developed solely for educational and research purposes. It is not intended for production use or to serve as a definitive fact-checking tool. The predictions made by the model may not always be accurate, and users are encouraged to verify news from official and reliable sources only.