For the complete documentation index, see llms.txt. This page is also available as Markdown.

Speech Models

A complete reference for speech generation models in Qolaba — Gemini Flash TTS and Pro TTS, available voices, accent options, and best use cases.

Qolaba's Speech Generation is powered by Google's Gemini TTS — two models offering different trade-offs between speed, quality, and credit cost. Both models support single-speaker narration and multi-speaker dialogue generation with customizable voice, accent, and delivery style.


Available Models

Model
Speed
Quality
Best For

Gemini Flash TTS

Fast

Good

Script drafting, quick iterations, testing voice and accent combinations

Gemini Pro TTS

Slightly slower

Higher — more expressive and natural

Final production output, client-ready audio, publishing

Test your script, voice selection, and accent configuration with Flash TTS first. Switch to Pro TTS for the final generation only. This approach saves credits without compromising final output quality.


Model Capabilities

Both models share the same core capabilities:

Capability
Flash TTS
Pro TTS

Single Speaker Mode

Multi-Speaker Mode

Voice library

30+ voices

30+ voices

Accent & dialect selection

Style instructions

Multi-language support

Max script length

5,000 characters

5,000 characters


Voice Library

Both models provide access to a library of 30+ distinct voice profiles. Each voice has a unique combination of tone, pitch, energy, and speaking style. Click any voice in the interface to hear a preview before selecting.

Available Voices

Voice
Character

Zephyr

Bright, clear, and energetic

Puck

Upbeat and playful

Charon

Informative and measured

Kore

Firm and confident

Fenrir

Excitable and expressive

Aoede

Smooth and warm

Leda

Youthful and approachable

Orus

Clear and neutral

Schedar

Gravelly and deep

Gacrux

Soft and gentle

Pulcherrima

Calm and composed

Achird

Conversational and natural

Zubenelgenubi

Professional and authoritative

Vindemiatrix

Storytelling and expressive

Sadachbia

Warm and personable

Sadaltager

Crisp and articulate

Sulafat

Rich and resonant

The full voice library is accessible directly in the Speech Generation workspace. Click any voice name to preview it before selecting.


Accent & Dialect Support

The output language is determined automatically by the language of your input script — write in any language and the audio is generated in that language. Accent selection refines pronunciation for languages with multiple regional dialects.

Available Accents by Language

Language
Available Dialects

English

United States, United Kingdom, India, Australia

French

France, Canada

Spanish

Spain, Latin America

Arabic

Egypt, Global

Mandarin

China, Taiwan

Hindi

India

Portuguese

Brazil, Portugal

German

Germany, Austria

Japanese

Japan

Korean

Korea

The output language always follows the language of your input text. Accent selection narrows the regional dialect within that language — it does not override the language itself.


Style Instructions

Both models support style instructions — a plain-language description of the desired delivery tone and manner entered in the Style Prompt field.

Examples:

Intent
Style Instruction

Warm and conversational

"Speak warmly and conversationally, like talking to a friend"

Professional narration

"Clear, professional, and authoritative tone"

Energetic marketing

"Enthusiastic and high-energy delivery"

Calm instructional

"Calm, slow-paced, and easy to follow"

Storytelling

"Engaging narrative style with natural pauses and expression"


Flash TTS vs. Pro TTS — When to Use Each

Use Flash TTS when:

  • Testing a new script for the first time

  • Validating voice, accent, and style combinations before final generation

  • Producing audio for internal use, drafts, or non-published content

  • Working at high volume where credit efficiency matters

Use Pro TTS when:

  • Generating final production audio for publishing

  • Delivering client-ready voiceovers, ads, or podcast content

  • The naturalness and expressiveness of the voice matters for the audience

  • Multi-speaker dialogue needs to sound as realistic as possible

Last updated