Not at all! The voice quality can significantly vary across different text-to-speech (TTS) tools. Various factors influence voice quality, such as the underlying technology, the level of AI sophistication, and the quantity and quality of training data used by the system.   For instance, earlier TTS systems relied on concatenative synthesis, where pre-recorded voice snippets were stitched together to produce speech. This often resulted in a voice that sounded somewhat artificial or robotic.   However, more advanced AI-based TTS systems, like Google's Text-to-Speech or Amazon's Polly, use a method known as parametric synthesis, specifically a form called neural TTS or NTTS. They leverage deep learning algorithms to produce far more fluid and natural-sounding speech.   Moreover, AI-based systems can generate different voices, adjust speech speed, emphasize certain words, and even simulate various accents or intonations. Hence, when choosing a TTS tool, it's worth considering your specific needs and trying out different options to find the one that delivers the best voice quality for your purposes.