Text-to-Speech (TTS)
Generate natural, human-like synthetic voices with a scalable and affordable API.
Executive Summary
Speechmatics Text-to-Speech (TTS) provides a high-quality API for converting text into natural, human-like synthetic voices. Designed for various applications, including AI assistants and agents, it offers sub-second response times and supports over 55 languages, enabling global reach for voice interactions. The platform emphasizes scalability and affordability through transparent, usage-based pricing. It offers flexible deployment options, including a managed SaaS platform and the ability to host Speechmatics APIs within a customer's own infrastructure, catering to developers and businesses seeking to integrate advanced voice capabilities into their products.
Use Cases
- Building AI assistants and agents
- Enabling conversational AI applications
- Integrating natural voice interactions into products
- Developing custom voice AI solutions
Features
Intelligence
- Human-like Voices: Generates highly natural and human-like synthetic speech.
- Multi-language Support: Supports over 55 languages for global applications.
- Real-time Processing: Provides sub-second latency for real-time voice interactions.
Technical Specifications
- Architecture
- API-driven, supporting both cloud-based SaaS and on-premise deployments.
- Deployment
- SaaS, On-Premise
- Authentication
- API Key
- API Available
- Yes
AI/ML Stack
- Proprietary AI models
Integrations
- Pipecat
Security & Compliance
Certifications: ISO 27001, SOC 2
Encryption: Bank-grade encryption, with encryption at rest and in transit.
Pricing
- Model
- Usage-based
- Starting Price
- $0.011 per 1k characters
- Target Customer
- SMB,Mid-Market,Enterprise
- Free Trial
- Yes
About Speechmatics
Speechmatics is a Voice AI company that builds infrastructure to understand every voice. They provide multilingual speech-to-text, text-to-speech, and voice AI technology for enterprises, developers, and platform partners. Their products help organizations in various sectors to turn voice into actionable insights through transcription, translation, and summarization.