This topic covers the SDKs, APIs and toolchains used to build voice assistants, spatial audio experiences, and automated media pipelines. Interest has grown because platform vendors and startups (including recent moves by Q.ai and Apple into audio AI tooling) are shifting capability into developer-friendly SDKs and on-device spatial rendering, while production-focused services automate everything from TTS dubbing to meeting capture and mastering. Key categories include voice synthesis and transcription (real‑time and batch STT/TTS), text‑to‑speech SDKs and APIs, meeting and conversation capture, audio asset marketplaces and automated production chains. Representative tools: Murf AI (cloud TTS, multilingual voices and voice APIs for real‑time agents), Voila (open‑source low‑latency, persona‑aware voice models for full‑duplex interaction), Recall.ai and Prolumios (APIs/assistants that capture, transcribe and surface meeting audio), EchoPod (automated conversion of long‑form text into podcast episodes), and production/music tools such as ACE‑Step, Musci and MasteringBOX. Simple Phones and Speech Typing illustrate conversational telephony and browser‑first transcription/tts use cases. Current trends include tighter integration of spatial audio rendering with conversational agents, stronger on‑device and privacy-preserving processing, and SDKs that combine low latency real‑time voice with content pipelines (transcription → edit → TTS/dubbing → mastering). Audio asset marketplaces and automated production APIs lower the cost of creating multilingual, spatial and podcast content. For developers evaluating SDKs, the practical tradeoffs are latency, voice quality and control, platform support (cloud vs on‑device), and whether the SDK exposes the metadata and streaming hooks needed for downstream workflows like search, compliance, or automated publishing.