Persian voice solutions

Text to SpeechGive your Persian text a voice

Convert Persian text into speech with a female or male voice for service messages, audio content and spoken responses. On-premises deployment supports use within your organization's infrastructure.

Review voice quality and deployment with your actual content and requirements.
From text to speechA simple path to spoken Persian content
  1. Persian text

    Your message, explanation or content

  2. Female or male voice

    Choose a voice for your application

  3. Spoken output

    Review pronunciation and clarity before use

Text to Speech · Persian voice solutions
Text-to-speech applications

Where does spoken text help?

When your content needs to be heard, text to speech can support the audience experience. Review voice suitability and reading quality with a real example for each application.

Announcements and service messages

Prepare spoken explanations, step-by-step guidance and short informational messages for your audience.

Learning and audio content

Create spoken versions of training texts, guides and product explanations so audiences can listen to your content.

Spoken assistant responses

Turn a digital assistant's or service system's text response into speech for experiences where audio is part of the user journey.

Core capabilities

A voice for your content, on your infrastructure

Female and male voices and on-premises deployment are core capabilities. Speaker diarization has a separate role in analyzing audio files.

Female and male voices

Convert Persian text to speech with a female or male voice. Compare both voices using the same text to assess their fit for your audience, message and application.

For Persian messages and audio content

On-premises deployment

Deploy the solution within your organization's infrastructure. Review computing requirements, data flows and setup around your environment and organizational policies with the technical team.

For use within your organization

Speaker diarization

Separate the segments spoken by different speakers in an audio file. This supports reviewing conversations with multiple speakers and is distinct from converting text to speech.

For analyzing multi-speaker conversations
Listen and compare

Female and male voice samples

Audio samples will be added here. Both voices will read the same text to make comparison easier.

Female voice

Audio sample coming soon

Male voice

Audio sample coming soon

Setup readiness

Deployment and integration: what to prepare

Clarify these points before starting to define setup scope and responsibilities.

On-premises deployment

On-premises deployment is available. Define computing capacity, text volumes and organizational access requirements before setup.

Text and voice output

Select Persian input text and a female or male voice for your use case. Review names, numbers and specialist terms in the output.

Integration and audio analysis

Define how text and audio should move between existing systems. Speaker diarization is a separate audio analysis scenario from speech generation.

Frequently asked questions

Are female and male voices available?

Yes. Persian text can be converted to speech with female and male voices. Review both using the same text during the demo to choose a voice that fits your application.

Is on-premises deployment available?

Yes. The solution can be deployed within your organization's infrastructure. Hardware requirements, usage volumes and setup conditions are reviewed with the Liyan technical team.

How does speaker diarization differ from text to speech?

Text to speech generates audio from text. Speaker diarization analyzes an audio file to separate segments spoken by different people. Separating speakers does not necessarily establish their identities or names.

How should we evaluate voice quality?

Use your own content to review names, numbers, terminology, pauses and sentence clarity. Compare both voices with the same text under similar listening conditions.

How are pricing and purchase terms determined?

Share your application, expected usage and on-premises requirements with Liyan to discuss pricing and purchase terms. Setup and related services are reviewed in the same conversation.

Evaluate before choosing

Listen to your own text

Bring a sample of your actual content. Hearing the same text with both voices provides a useful basis for reviewing quality and choosing a suitable voice.

  1. Prepare a text sample

    Choose sentences with names, numbers and terminology from your work, and describe how the output will be used.

  2. Review the spoken output

    Compare pronunciation, pauses, clarity and the female and male voices using the same sample.

  3. Discuss deployment

    Review your infrastructure and expected usage for on-premises deployment. If speaker diarization is needed, review a conversation recording separately.

Start by hearing your own text.

Share your application and sample text with Liyan to review voice quality and deployment.

Contact for a demo