Qwen Audio 3.0 TTS: The Essentials

Last updated: July 31, 2026

Qwen Audio 3.0 TTS turns written text into natural speech in seconds. It is a preset-voice text-to-speech model: you type up to 2,000 characters, pick one of 45 voices, and choose a language or let the model detect it. Speed is its signature, so it is the model you reach for when you need clean voiceover fast, in volume, and across a lot of languages.

It reads your text exactly as written and shapes tone and rhythm from your punctuation. There is no cloning and no inline emotion tags: the character comes from which voice you pick and how you write the line. Think of it as a deep, reliable voice cast that shows up on time.

Which Model Should I Use?

Scenario hosts several text-to-speech models. Pick by how you want to control the voice.

  • Qwen Audio 3.0 TTS: 45 preset voices, 11 languages with auto-detect. Best for fast, high-volume voiceover with a large voice roster and broad language coverage.

  • Seed Audio 1.0: voice described in the prompt, plus optional audio or image reference. Best for full scenes with dialogue, music, and effects in one pass.

  • ElevenLabs 3: preset and cloned voices with inline emotion tags. Best for richly expressive reads with moment-to-moment delivery control.

  • Minimax Speech 2.8 HD: 17 preset voices with 10 emotion modes. Best for studio-grade HD output with explicit emotion selection.

Reach for Qwen Audio 3.0 TTS when you want a natural read, a wide choice of voices, and many languages, delivered quickly.

How to Use the Model

Open the model page. Using it is three quick choices: write the text to speak (only the words you want spoken, read verbatim, up to 2,000 characters), pick one of the 45 voices to set the character, and set the language or leave it on Auto to let the model detect it. Setting the language explicitly is the safer choice for short lines and for anything non-English.

Because there is no emotion dial, punctuation does the steering. Short sentences and periods read as measured and dramatic, exclamation points lift energy, and commas and colons create the natural pauses of a real read. Here is a cinematic trailer line delivered by the Arthur voice in English, straight from plain sentences.

Voice Arthur, English, film trailer · Open on Scenario

To hear how much the voice alone changes a read, keep the same idea and switch the preset. The playful Momo voice turns a game line bright and energetic.

Voice Momo, English, game character · Open on Scenario

Parameters

Three inputs, and only the text is required.

Text

Required. The words to speak, up to 2,000 characters. The model reads this verbatim, so it should contain only spoken content, never instructions like "say this cheerfully", which get read aloud. Shape delivery through punctuation instead.

Voice

Optional, default Cherry. Selects one of 45 preset voices, including Cherry, Serena, Ethan, Arthur, Momo, Vivian, Kai, Bella, Jennifer, Ryan, Nini, and Pip. The voice carries the personality of the read, so when a read feels wrong, change the voice before you rewrite the text.

Language

Optional, default Auto. One of Auto, Chinese, English, Spanish, Russian, Italian, French, Korean, Japanese, German, or Portuguese. Auto detects the language from your text. Setting it explicitly improves pronunciation and intonation, and is the safer choice for short lines and non-English text.

Examples

A few more reads generated on Scenario, one voice and one language each, to show the voice and language range. Every clip came from plain text in the field above.

Serena, Portuguese, fashion e-commerce. A warm Brazilian Portuguese brand read.

Voice Serena, Portuguese, e-commerce ad · Open on Scenario

Vivian, Chinese, cinematic trailer. Dramatic Mandarin delivery, one of Qwen's strongest languages.

Voice Vivian, Chinese, wuxia trailer · Open on Scenario

Nini, Japanese, virtual assistant. A friendly Japanese morning briefing.

Voice Nini, Japanese, virtual assistant · Open on Scenario

Use Cases

  • Games: NPC lines, tutorial guides, boss intros, and live-service announcements, generated in bulk and swapped by voice as characters change.

  • Marketing and advertising: product launch voiceover and localized ad reads in the language of each market, turned around in minutes.

  • Film and animation pre-vis: scratch trailer narration and temp voice tracks for animatics before a recording session.

  • Education and e-learning: course narration, explainers, and children's stories with a consistent voice across a module.

  • Localization: the same script delivered across 11 languages, without booking a separate voice actor per language.

  • Product and assistants: in-app voice prompts, IVR menus, and virtual assistant responses in a friendly, natural tone.

Tips for Better Results

  1. Put only spoken words in the text field. Directions get read out loud rather than acted, so steer delivery with voice choice and punctuation instead.

  2. Change the voice before you rewrite the line. The same sentence swings from authoritative to playful purely on the preset, so audition two or three voices first.

  3. Set the language explicitly for non-English text. It sharpens pronunciation and intonation over Auto, especially on short lines.

  4. Punctuate for pacing. Periods create dramatic stops, commas and colons create natural breaths, and exclamation points lift energy.

  5. Keep sentences at a natural spoken length. Short, clean sentences read more reliably than long run-ons.

  6. Match the voice to the genre. Deep voices suit trailers and villains, brighter voices suit games and upbeat ads. Start from a voice that already fits the mood.

  7. Generate a few takes. It is fast, so render two or three versions of an important line and keep the best delivery.

Known Limitations

  • No cloning or reference voices. You are limited to the 45 presets. To recreate a specific real voice, use a cloning model such as ElevenLabs Voice Clone.

  • No inline emotion or delivery tags. Delivery comes only from the voice you pick and how you punctuate. For moment-to-moment emotion control, use ElevenLabs 3.

  • 2,000 character limit per run. Long-form narration must be split into multiple runs, broken at clean sentence boundaries and stitched together.

  • Output is 24kHz mono. Fine for voiceover, dialogue, and web video. For higher-fidelity or stereo delivery in a music-heavy mix, master accordingly or choose an HD speech model.

  • Voice names do not describe the voice. The roster is named, not labeled by gender or age, so audition a few to learn which fit which jobs.

  • Chinese homophones can vary. On dense Chinese text, a few characters may be realized as a near-homophone, so review important Chinese reads.