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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

GRAPHLOGIC
TEXT-TO-SPEECH API

Speech recognition models

Graphlogic TTS
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
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
Customised speech models
Generate voice to communicate unique brand personas of your customers
Data depersonalisation
Data depersonalisation
Depersonalise data on your side to ensure data protection
Multiple languages
Multiple languages
Multilingual support to serve your customers worldwide
Speech synthesis markup language (SSML)
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
Enterprise-grade scalability
Handle significant workload increases while maintaining performance.

How to Launch?

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
How many languages are supported?
For now we support English, German, Spanish, Russian, and Thai. Both male and female voices can be synthesysed.
How long will it take to develop a new language?
It takes one week on average to develop a new language for you - a 30-hour labeled dataset for one speaker is needed.
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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