Voice library / Language

Serbian AI voices

Listen to the top Serbian AI voices in Giggy's library and use any of them for text to speech. Batch generation is free, within request and queue limits.

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Top Serbian voices

Petar Petrović

Serbian · Standard · Adult · male

Smooth calm intimate narrator

Adapted for entertainment host narration

conversational, rough, deep, authoritative, friendly

Use Petar Petrović

Milica Petrović

Serbian · Standard · Young Adult · female

Warm gentle narrative texture

Created for narrative story narration

conversational, gravelly, upbeat, animated, playful

Use Milica Petrović

Marko Stojanović

Serbian · Standard · Adult · male

Warm conversational storyteller voice

Works well for narrative story narration

conversational, rich, expressive, quick, balanced

Use Marko Stojanović

Kristina Petrović

Serbian · Standard · Young Adult · female

Calm melodic narrative storyteller

Reliable for narrative story narration

bright, playful, quick, energetic, professional

Use Kristina Petrović

Jovana Nikolić

Serbian · Standard · Young Adult · female

Warm gentle community conversational

Capable in social media content creation

bright, playful, expressive, authoritative, rough

Use Jovana Nikolić

Jelena Nikolić

Serbian · Standard · Young Adult · female

Gentle storyteller with rasp

Built for narrative story narration

bright, rich, thoughtful, animated, urgent

Use Jelena Nikolić

Jelena Jovanović

Serbian · Standard · Young Adult · female

Bright gentle comedic narrator

Made for comedy trailer voiceover

bright, rich, raspy, authoritative, professional

Use Jelena Jovanović

Dejan Marković

Serbian · Standard · Adult · male

Confident measured calm authority

Appropriate for conversational interactions

even, strong, raspy, serious, rough

Use Dejan Marković

Ivana Stojković

Serbian · Standard · Young Adult · female

Bright rapid conversational texture

Well suited for conversational interactions

bright, rich, thoughtful, serious, even

Use Ivana Stojković

Generate Serbian speech in three steps

  1. Pick a voice

    Play samples from 20 Serbian voices and choose the one that fits your script, starting with top-rated voices like Petar Petrović, Milica Petrović, Marko Stojanović.

  2. Enter your script

    Type or paste your text in Serbian. Add expression tags such as [whisper] or [laughing] to guide emotion and delivery.

  3. Generate and download

    Batch generation is free, within request and queue limits, and returns 24 kHz MP3 audio. Fast and Streaming use prepaid credits when you need speed.

Serbian accents

Most common accents among the top-rated Serbian voices.

  • Standard (20)

Serbian voices for every use case

Use these voices in your product

Every library voice has a voice ID for the Giggy Speech API, its OpenAI-compatible speech endpoint and the Giggy MCP server.

Speech API documentation · Pricing

Frequently asked questions

How many Serbian AI voices does Giggy have?

Giggy's voice library has 20 Serbian voices. This page shows the highest-rated voices by quality score; the full library is searchable in the Giggy app.

Is Serbian text to speech free?

Yes. Batch generation is free in the Giggy app and through the API, within request and queue limits. Fast and Streaming use prepaid credits; there is no subscription.

Which Serbian accents are available?

The most common accents among the top-rated Serbian voices are Standard. Use the accent filter in the Voice Library to see every option.

Can I create my own Serbian voice?

Yes. Voice Design creates a new voice from a written description, and Voice Clone creates a reusable voice from a short reference recording.

Can I control emotion and delivery?

Yes. Giggy supports 50+ emotions, 20+ delivery styles and 40+ non-verbal events through expression tags, plus speaking-speed control.

Can I use Serbian voices through an API?

Yes. Every library voice has a voice ID you can use with the Giggy Speech API, its OpenAI-compatible speech endpoint and the Giggy MCP server.

Explore more voices

Create free Batch text to speech · Voice library