This topic covers the landscape of voice and speech recognition SDKs and platforms developers use to add transcription, text-to-speech (TTS), voice cloning, noise reduction, and meeting intelligence to applications. By late 2025, hybrid work, real‑time customer service automation, and tighter privacy expectations have pushed teams to adopt production‑grade speech APIs that support streaming transcription, speaker labeling, multilingual models, and low-latency voice synthesis. Key platforms include: ElevenLabs for high-fidelity TTS, voice cloning and production transcription; Murf AI for studio‑grade TTS, multilingual dubbing and real‑time voice agents; Krisp for AI-driven noise cancellation, real‑time transcription, meeting notes and accent conversion; Fireflies as an AI meeting assistant that joins calls, transcribes, summarizes and extracts action items; Recall.ai offering capture/transcribe SDKs and APIs across Zoom, Meet, Teams and in‑person/phone sources; and ZenCall.ai for real‑time AI phone agents combining speech-to-text, LLM routing, and TTS. These tools map to three common categories: Voice Synthesis & Transcription (TTS, speech-to-text, voice cloning), Conversation Intelligence (analytics, keyword extraction, diarization), and AI Meeting Assistants (recording, summaries, action items, integrations). When selecting an SDK, developers must weigh accuracy, latency, cost, platform integrations, on‑device vs cloud processing, and compliance (data retention, PII masking). Practical patterns in 2025 favor modular pipelines—streaming STT + LLM post‑processing + configurable TTS—and vendor combinations that balance fidelity (ElevenLabs, Murf) with conferencing and meeting capture (Recall.ai, Fireflies, Krisp) or phone automation (ZenCall.ai). Choose based on your realtime needs, language/support matrix, and privacy constraints rather than feature lists alone.