Fireworks has announced the release of Streaming Transcription V2 and Streaming Speaker Diarization, enhancing real-time speech-to-text capabilities and speaker identification in audio streams. Streaming Transcription V2 offers a faster, lower-latency API, improving on its predecessor with up to 25% reduced latency and better accuracy in noisy environments, all at a cost-effective price. This upgrade is crucial for applications like live captioning and customer support automation, where immediate transcription is necessary. Meanwhile, the new Streaming Speaker Diarization, now in closed beta, provides real-time speaker identification, maintaining consistent speaker IDs and offering flexible integration with transcription results, which is useful for call center analytics and live broadcasts. Both tools are designed to support high-volume concurrent streams, offering scalable and reliable solutions for interactive voice agents and other AI-driven audio applications.