Speechify today announced the early rollout of SIMBA 3.0, the newest generation of its proprietary voice AI models built in-house by the Speechify AI Research Lab. Available now to select third-party developers through the Speechify Voice API—with general availability planned for March 2026—SIMBA 3.0 is optimized for real-world voice workloads, emphasizing humanlike quality, ultra-low latency, long-form stability, and cost-efficient scaling.
Quick Intel
- SIMBA 3.0 powers text-to-speech (TTS), automatic speech recognition (ASR), and speech-to-speech applications with production-grade performance.
- The model supports real-time streaming endpoints, SSML for precise control (prosody, pauses, emphasis, emotion), speech marks for word-level timing synchronization, and emotion expression via dedicated SSML tags.
- Developers gain access through REST APIs, Python/TypeScript SDKs, quickstart guides, and full documentation for fast integration into AI agents, voice assistants, content narration, accessibility tools, and more.
- Speechify operates its own vertically integrated voice AI stack—building and training models internally—rather than relying on third-party providers, ensuring control over quality, latency, cost, and roadmap.
- Real-world use cases include MoodMesh (emotionally intelligent wellness apps) and AnyLingo (multilingual voice message translation with cloned voices and emotional tone).
- The model excels in prosody, meaning-aware pacing, natural pauses, intonation, emotional neutrality/expression, and stability for extended sessions.
Built for Production Voice Workloads
SIMBA 3.0 is engineered from the ground up for demanding applications where voice quality, responsiveness, and reliability directly impact user experience. Unlike general-purpose multimodal models, it prioritizes voice-first performance:
- High-fidelity naturalness with accurate prosody, syntax-aligned intonation, and context-aware pacing.
- Sub-250ms latency for conversational turn-taking in agents and real-time systems.
- Long-form stability for audiobooks, narration, and extended listening.
- Emotion control via SSML tags (cheerful, calm, assertive, energetic, sad, angry, etc.) for tone-matched delivery.
- Streaming TTS for immediate playback of large inputs, supporting MP3, OGG, AAC, and PCM formats.
- Speech marks for precise text-audio synchronization, enabling highlighting, seek, and analytics.
- Multilingual support and document understanding (PDFs, web pages, scanned content) with OCR/page parsing.
The Speechify AI Research Lab owns the full stack—from model training to production APIs—allowing continuous optimization based on real usage across Speechify’s consumer products and third-party integrations.
"SIMBA 3.0 was built for real production voice workloads, with a focus on humanlike quality, stability, low latency, and reliable performance at scale," said Raheel Kazi, Engineering Leader at Speechify. "Our goal is to give developers voice models that are easy to integrate and strong enough to support real world applications from day one."
Empowering Developers Across Industries
Third-party developers can integrate SIMBA 3.0 to build:
- AI voice agents, receptionists, and customer support bots
- Real-time translation and multilingual communication apps
- Content narration, audiobook, and podcast generation
- Accessibility and assistive technology
- Educational platforms with voice-driven learning
- Healthcare applications requiring empathetic interaction
- Voice-enabled IoT, automotive, and outbound calling systems
The Speechify Voice API provides production-ready endpoints, SDKs, and infrastructure designed for rapid deployment and scalable voice features.
About Speechify
Speechify is a leading generative AI company empowering creators to build 3D characters and animated videos in minutes. Founded by Jhanvi and Ketaki Shriram, the platform utilizes advanced AI animation technology to remove technical barriers for users worldwide.