In this implementation, we demonstrate text steganography using Python’s OpenCV library, which allows us to manipulate images. The process involves converting the text message into binary format, then embedding the binary bits into the least significant bits (LSB) of the pixel color channels in the image. The text message is first converted to binary, ensuring that the image can accommodate the binary message length. Each pixel’s LSB is then modified to carry the binary bits of the text message. The modified image, now containing the hidden text, is saved as “encrypted_image.png.“ To extract the hidden text from the encrypted image, the LSBs of each pixel are sequentially retrieved, and the binary message is reconstructed. This binary message is then converted back to the original text format using ASCII character codes. It is important to note that this steganographic method is relatively simple and may not be suitable for concealing large amounts of information securely. Additionally, it is intended for educational purposes to showcase the basic concept of steganography and image manipulation with OpenCV. More advanced steganographic techniques, such as using encryption and more sophisticated image manipulation algorithms, are essential for secure communication and information concealment in practice.