This topic examines the post-acquisition landscape for AI audio and spatial sound following Apple’s purchase of Q.ai, and surveys the key tools shaping creation, transcription, and delivery. Interest centers on three categories: AI music creation, voice synthesis and transcription, and text-to-speech (TTS). The acquisition signals faster integration of spatial audio, on-device inference, and tighter OS-level support for immersive and privacy-sensitive voice experiences. Practitioners and creators are balancing production-grade cloud services with the demand for low-latency, on-device capabilities. ElevenLabs and Murf AI represent studio-focused TTS and voice-cloning platforms—ElevenLabs for expressive, high-fidelity synthesis and transcription (Scribe), Murf for multilingual voices and real-time voice APIs. Podcastle/Async and EchoPod address end-to-end spoken-word workflows, from recording and multi-track editing to automated production and article-to-podcast conversion. The AI Voice Generator targets quick, web-based TTS and cloning for social creators, while MasteringBOX automates final audio mastering. Meanwhile, Krisp focuses on meeting-quality audio: noise cancellation, live transcription, and conversational audio enhancement. Key trends: 1) Spatial audio and contextual voice agents are becoming priorities for consumer platforms and AR/VR, 2) creators want integrated toolchains that combine cloning, dubbing, transcription, mastering, and distribution, and 3) privacy and on-device processing are rising concerns that influence vendor positioning and integration strategies. For teams evaluating tools, the post-Q.ai environment emphasizes interoperability (APIs and dubbing/localization), production quality (voice realism and mastering), and deployment model (cloud vs. on-device). Understanding these dimensions helps content creators, audio engineers, and product teams choose tools that balance realism, scalability, and user privacy.