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GRAPHLOGIC
TEXT-TO-SPEECH API

Unleash Superior Speech-to-Text Capabilities with Cutting-Edge Features: Customized speech models, Speech synthesis markup language (SSML) and many more.

Speed: 50 ms latency

Demo Try it now
Demo Try it now
Speech recognition models
Graphlogic TTS
Convert text into natural-sounding speech with high efficiency and accuracy. It is optimized for low latency and high performance, making it suitable for handling large volumes of requests quickly.
Custom - Bring Your Own Model
Bring your custom models to connect to or tailor GL TTS to better fit unique vocabulary of your customers.
Features
Customised speech models
Generate voice to communicate unique brand personas of your customers
Data depersonalisation
Depersonalise data on your side to ensure data protection
Multiple languages
Multilingual support to serve your customers worldwide
Speech synthesis markup language (SSML)
Enable higher customisation in your audio response by providing details on pauses and voice pitch, and audio formatting for acronyms, dates, times, abbreviations, or text that should be censored. Enterprise-grade scalability
Enterprise-grade scalability
Handle significant workload increases while maintaining performance.
How to launch?
STEP 1
Deliver a dataset
STEP 2
A model is to be trained
STEP 3
A model is to be deployed
STEP 4
Monitor and improve the accuracy

Use Cases

  • Creating brand voices
  • Creating voice ads or for podcasts
  • Generating human-like voice for digital avatars
  • Indoor navigation for hospitals
  • Indoor navigation for museums

Frequently Asked Questions

How many languages are supported?

For now we support English, German, Spanish, Russian, and Thai

How long will it take to develop a new language?

A 1000-hour heterogeneous speech training dataset is required to develop a new language. Exact terms will be subject to the quality of this dataset and whether a model for this language already exists or not.

What is SSML?

SSML (Speech Synthesis Markup Language) is a markup language made for speech synthesis applications. It is used to apply tweaks and adjustments to synthetic voices, e.g., to make the voice higher on a specific part of speech.

See also:
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    June 30, 2025
    Author: Eugene Datura

    Conversational AI for Healthcare: From Missed Appointments to Meaningful Engagement

    Healthcare teams today face more complexity than ever. It’s no longer just about scheduling visits. You’re juggling rising volumes of patient inquiries across multiple channels, growing no-show rates, low repeat visit conversions, and stretched operational capacity. But what if these friction points can be resolved with smart, proactive AI agents handling conversations across text and […]

  • Partnership
    June 23, 2025
    Author: Eugene Datura

    Graphlogic and Dataspike Partner to Combine Agentic AI and KYC/AML Automation

    Graphlogic and Dataspike have entered into a strategic partnership to offer an integrated solution that combines Conversational AI and Agentic Automation with real-time KYC and AML capabilities. This collaboration will help our customers streamline onboarding processes, identity verification, and compliance workflows through intuitive, AI-powered conversations. About Dataspike  Dataspike is a real-time compliance automation platform built […]

  • Partnership
    June 10, 2025
    Author: Eugene Datura

    Graphlogic and Denamica Sign Regional Partnership to Develop Conversational AI Solutions for the Gulf Region

    Graphlogic is pleased to announce the signing of a regional partnership agreement with Denamica, marking a significant step in strengthening our presence across the Gulf region.  This collaboration will focus on providing AI voice and avatar solutions,  designed to support local dialects, including Jordan, Qatar, Saudi Arabia, and Oman. Through this initiative, Graphlogic and Denamica […]

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