What are audio tags and how do they work?

Audio tags are inline text markers like [excited], [whispering], [laughing], and [interrupting] that modify the synthesis model's prosodic parameters for each dialogue line. Each tag adjusts specific acoustic properties — [whispering] reduces amplitude and adds breathiness, [excited] increases pitch range and speaking rate, [dramatically] extends pauses and widens pitch contour. Place a tag at the beginning of a line to set the overall emotional delivery, or insert it mid-sentence for a dramatic tonal shift. Tags span six categories: emotion, delivery style, non-verbal sounds, sound effects, accent, and pacing.

How many AI voices are available?

The voice library includes preset voices organized into categories: conversational, storytelling, video games, TikTok-style, Hollywood, announcers, and relaxing. Each voice has a unique speaker embedding that defines its timbre, pitch range, and natural speaking rhythm. You can preview any voice before generating to match the right vocal quality to each character in your dialogue. The voice library is regularly updated with new presets — check the voice selector in the editor for the current selection.

What languages does text to speech support?

The text to speech tool supports dozens of languages including English, Chinese, Japanese, Korean, French, German, Spanish, Portuguese, Italian, Arabic, Hindi, Russian, and many more. Auto-detect mode identifies the language from your text automatically, or you can manually select a specific language for optimal phoneme mapping and pronunciation accuracy. The prosody model adapts intonation patterns to each language's natural rhythm — preserving tonal distinctions in Mandarin, stress placement in English, and mora timing in Japanese.

Can I create multi-speaker dialogue?

Yes. Assign different AI voices to different dialogue lines to create multi-speaker conversations. Each speaker's voice is defined by a unique speaker embedding, and the synthesis model processes all turns in sequence with natural timing and turn-taking transitions. Audio tags like [interrupting] and [overlapping] enable realistic conversational dynamics where speakers cut each other off or speak simultaneously. This is suited for podcasts, audiobook dialogues, game character conversations, interview content, and training simulations.

How does the stability parameter work?

The stability parameter controls how much prosodic variance the synthesis model applies to your generated speech. Creative (lowest stability) produces the most expressive output with wider pitch variation, varied rhythm, and more dramatic emotional delivery — suited for storytelling, character dialogue, and content where vocal expressiveness matters. Natural (default) balances expressiveness with consistency for general-purpose voice generation. Robust (highest stability) produces the most predictable, consistent pacing — suited for instructional narration, formal announcements, and content where steady delivery is preferred.

How long does text to speech generation take?

Typically seconds for short text and a few minutes for longer multi-speaker dialogues, depending on text length, number of speakers, and server load. Short single-speaker text completes within seconds. Longer multi-speaker dialogues with audio tags and multiple voice switches may take a few minutes as the model processes each speaker turn and applies the specified prosodic modifications. The system processes asynchronously — generation continues on the server while you wait, and the finished audio is available for download when processing completes.

What is the maximum text length?

Up to 5,000 characters per generation, counting all dialogue lines combined. This is enough for approximately 3-5 minutes of spoken audio, depending on speaking pace, pause frequency, and audio tag usage. For longer content, split your script into segments and generate each one separately — maintaining the same voice assignments across segments ensures consistent speaker identity throughout your project.

Does text to speech work with any language?

The text to speech tool supports dozens of languages with phoneme-level pronunciation accuracy. Each language uses language-specific phoneme mapping rules and prosody patterns — the synthesis model adapts pitch contour, rhythm, and stress placement to match each language's natural speech patterns. Auto-detect mode identifies the language from your input text, or you can manually select a language for explicit control. New language support is added periodically — check the language selector in the editor for the current list of supported languages.

Model

Dialogue0 / 5,000

Dialogue 1

text

Enter the text content for this dialogue segment.

voice

Select the voice character for this dialogue.

Dialogue 2

text

Enter the text content for this dialogue segment.

voice

Select the voice character for this dialogue.

Audio Tags

[excited][happy][sad][angry][surprised]More tags

Language

Stability

Single speaker

Text to Speech

Xavier: [calm] Welcome to Lati AI, where you can bring photos to life with AI Avatar Lip Sync. [excited] Upload an image and audio and watch your avatar talk naturally.

Multi-speaker dialogue

Text to Dialogue

Juniper: [excitedly] Hey James! Have you tried the new ElevenLabs V3?

James: [curiously] Yeah, just got it! The emotion is so amazing. I can actually do whispers now— [whispering] like this!

AI Text to Speech | Multi-Speaker Voice Generator with Audio Tags

Q: What is AI text to speech?

AI text to speech (TTS) converts written text into natural-sounding human speech using neural synthesis. The pipeline processes text through multiple stages: text normalization expands abbreviations and numbers into pronounceable forms, phoneme extraction maps words to speech sounds, a prosody model predicts pitch contour, rhythm, stress, and pause timing, and a neural vocoder renders the final audio waveform. The text to speech tool supports multi-speaker dialogue — assign different AI voices to different speakers and generate a complete conversation with natural turn-taking in a single request. Audio tags provide explicit control over emotional delivery for each line.

Q: Can I use the generated audio with AI Avatar Lip Sync?

Yes. Audio generated by the text to speech tool is fully compatible with AI Avatar Lip Sync. Generate your dialogue audio with multi-speaker voices and audio tags, then upload it alongside a portrait image to create a talking head video. The lip sync AI extracts phonemes from your generated audio waveform and maps them to visemes for frame-accurate mouth synchronization — the same phoneme-level precision used during synthesis carries through to the visual output, creating a complete text-to-talking-video pipeline.

Convert text to natural-sounding speech using AI-powered multi-speaker dialogue synthesis. Assign distinct AI voices to different speakers within a single generation — each voice encoded as a speaker embedding that captures unique timbre, pitch range, and speaking rhythm. Control emotion and delivery style through audio tags: inline markers like [excited], [whispering], [laughing], and [interrupting] that modify the prosody model's output for each line. The synthesis pipeline analyzes your text at the phoneme level, predicts timing boundaries for each speech sound, then renders audio with natural intonation curves, stress patterns, and breathing pauses. Adjust the stability parameter — Creative for expressive variation, Natural for balanced delivery, Robust for consistent pacing — to tune how much prosodic variance the model applies. Generate dialogue audio for podcasts, audiobooks, e-learning narration, game character voices, marketing voiceovers, and social media content, then pair your audio with AI Avatar Lip Sync to create talking head videos.

Multi-Speaker Dialogue

Audio Tags Control

113 AI Voices

75 Languages

Free Online

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What Is AI Text to Speech?

AI Text to Speech (TTS) converts written text into natural-sounding human speech using neural synthesis models. The pipeline begins with text normalization — expanding abbreviations, numbers, and special characters into pronounceable forms — followed by phoneme extraction that maps each word to its constituent speech sounds. A prosody model then predicts the pitch contour, rhythm, stress placement, and pause timing for each phoneme sequence, creating the intonation pattern that makes synthesized speech sound natural rather than monotone. The final stage renders these linguistic features into an audio waveform through a neural vocoder. The text to speech tool specializes in multi-speaker dialogue — assign different AI voices to different speakers and generate a complete conversation audio file in a single request, with the model handling natural turn-taking and speaker transitions automatically.

Audio Tags distinguish this AI voice generator from standard text to speech systems. Standard TTS models infer emotion from text context alone, producing neutral delivery for most inputs. Audio tags provide explicit control — insert [excited], [whispering], [sarcastic], [laughing], or [interrupting] at any point in your dialogue to override the default prosody and specify exactly how each line should sound. The tags modify the synthesis model's prosodic parameters: [whispering] reduces amplitude and adds breathiness, [excited] increases pitch range and speaking rate, [interrupting] truncates the previous speaker's audio and overlaps the next line. Combined with a stability parameter that controls how much prosodic variance the model applies — from Creative (high variance, more expressive) to Robust (low variance, consistent pacing) — audio tags give phoneme-level control over the emotional delivery of every line in your dialogue.

AI Voice Generator Key Features

Multi-speaker dialogue synthesis with audio tags for emotion control, prosody tuning via stability parameter, and AI voice generation across dozens of languages.

Multi-Speaker Dialogue Synthesis

Assign different AI voices to different speakers and generate complete conversation audio in one request. Each voice is encoded as a speaker embedding — a high-dimensional vector capturing timbre, pitch range, speaking rhythm, and vocal quality. The synthesis model processes all speaker turns in sequence, managing natural turn-taking transitions and timing between speakers. Audio tags like [interrupting] and [overlapping] let you script realistic conversational dynamics where speakers cut each other off or talk simultaneously, producing dialogue audio that sounds like a natural conversation rather than sequential monologues.

Audio Tags Emotion Control

Inline text markers that modify the prosody model's output for each dialogue line. Place tags like [excited], [whispering], [sarcastic], [laughing], [sighs], or [shouting] at the beginning of a line to set the emotional delivery, or insert them mid-sentence for dramatic shifts. Each tag adjusts specific prosodic parameters — [whispering] reduces amplitude and adds breathiness, [excited] increases pitch variation and speaking rate, [dramatically] extends pause durations and widens pitch contour. Audio tags span six categories: emotion, delivery style, non-verbal sounds, sound effects, accent, and pacing, giving you granular control over how every line sounds.

Diverse AI Voice Library

Choose from a curated library of distinct preset voices organized into categories: conversational, storytelling, video games, TikTok-style, Hollywood, announcers, and relaxing. Each voice has a unique speaker embedding that defines its timbre, pitch range, and natural speaking rhythm. Preview any voice before generating to find the right match for each character in your dialogue. The voice library covers a range of tonal qualities — from warm narrative voices suited for audiobook narration to energetic styles optimized for short-form social content.

Multi-Language Voice Generation

Generate text to speech across dozens of languages including English, Chinese, Japanese, Korean, French, German, Spanish, Arabic, Hindi, and many more. Auto-detect mode identifies the language from your text automatically, or manually select a specific language for optimal phoneme mapping and pronunciation accuracy. The prosody model adapts intonation patterns to each language's natural rhythm — tonal languages like Mandarin preserve pitch contour distinctions, while stress-timed languages like English maintain natural stress placement.

AI Avatar Lip Sync Compatible

Generated audio works directly with the AI Avatar Lip Sync tool for a complete text-to-talking-video pipeline. Write your dialogue, generate expressive speech audio with audio tags and multi-speaker voices, then upload the audio alongside a portrait image to create a lip-synced talking head video. The lip sync AI extracts phonemes from your generated audio waveform and maps them to visemes for frame-accurate mouth synchronization — the same phoneme-level precision used in synthesis carries through to visual output.

Browser-Based Voice Generation

Generate AI speech directly in your browser with no software installation required. Enter your text, assign voices, add audio tags, and generate — processing runs server-side and delivers finished audio for download or direct use with AI Avatar Lip Sync. The browser interface provides real-time voice previews so you can audition each AI voice before committing to a full generation.

Audio Tags Reference

Audio tags across six categories for precise emotion and delivery control in AI text to speech.

Audio Tags are inline text markers that modify how the AI voice delivers each line. Each tag adjusts the synthesis model's prosodic parameters — pitch contour, amplitude, speaking rate, breathiness, and pause timing — to produce the specified emotional or stylistic delivery. Place a tag at the beginning of a dialogue line to set the overall tone, or insert tags mid-sentence for dramatic shifts in delivery. Tags work across all preset voices and all supported languages, and multiple tags can be combined in sequence for layered control.

Emotion

excited, happy, sad, angry, surprised, disgusted, fearful, calm, serious, confused

[excited] Did you hear the news? This is incredible!

Delivery Style

whispering, shouting, singing, laughing, crying, mumbling, yelling

[whispering] I have a secret to tell you...

Non-Verbal Sounds

sigh, gasp, laugh, cough, clearing throat, sniff, yawn

[sigh] I guess we'll have to try again tomorrow.

Sound Effects

phone ringing, door knocking, footsteps, rain, wind, thunder, birds chirping

[door knocking] Hello? Is anyone home?

Accent

British accent, American accent, Australian accent, Indian accent

[British accent] Shall we have a cup of tea?

Pacing

slowly, quickly, with a pause, dramatically

[dramatically] And the winner is...

Text to Speech + AI Avatar Workflow

From text dialogue to talking avatar video — generate speech audio, then create a lip-synced video.

Combine AI text to speech with AI Avatar Lip Sync for a complete text-to-talking-video pipeline. Write your dialogue with audio tags for emotion control, generate expressive multi-speaker speech audio, then create a lip-synced avatar video with phoneme-accurate mouth synchronization — all without recording equipment, voice actors, or video editing software.

Write Your Dialogue

Enter your script in the text to speech editor. Assign a distinct AI voice to each speaker, add audio tags like [excited] or [whispering] for emotion control, and set the stability parameter for prosodic variance. Preview each voice to confirm the right timbre and tone before generating.

Generate AI Speech

Generate natural multi-speaker dialogue audio with prosody-aware synthesis. The model processes all speaker turns in sequence, handling turn-taking transitions and emotional delivery driven by your audio tags. Download the finished audio file or proceed directly to the next step.

Create Talking Avatar

Upload a portrait image and your generated audio to AI Avatar Lip Sync. The lip sync AI extracts phonemes from the speech waveform and maps them to visemes — frame-accurate mouth positions synchronized to every syllable of your generated dialogue. The output is a talking head video with natural lip movement, facial expressions, and head motion driven by the audio content.

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How to Use AI Text to Speech

Write your dialogue, assign AI voices with audio tags, and generate natural speech audio.

Write Your Text

Enter your text or multi-speaker dialogue in the editor. For conversations, add multiple dialogue lines and assign a distinct AI voice to each speaker. Insert audio tags like [excited], [whispering], or [laughing] at the beginning of any line to control emotional delivery. Use punctuation strategically — commas insert natural pauses, ellipses create hesitation, and exclamation marks increase pitch and energy.

Choose AI Voices

Browse preset AI voices organized by category — conversational, storytelling, video games, TikTok, Hollywood, announcers, and relaxing. Preview each voice before selecting to match the right timbre and speaking style to each character. Select a language or enable auto-detect for automatic language identification from your text input. Adjust the stability parameter: Creative for expressive, varied delivery; Natural for balanced output; Robust for consistent, predictable pacing.

Generate & Download

Generate your AI speech audio. Processing typically takes seconds for short text and a few minutes for longer multi-speaker dialogues. Download the finished audio as MP3 for direct use in podcasts, e-learning, marketing, or social media — or upload it to AI Avatar Lip Sync alongside a portrait image to create a talking head video with phoneme-accurate lip synchronization.

Text to Speech Use Cases

The text to speech software market is growing at 16.3% CAGR, driven by demand for scalable audio content across podcasting, e-learning, accessibility, and marketing. 68% of enterprises use TTS to enhance digital platform accessibility, and the global audiobook market has reached 270 million monthly listeners with 26.2% annual growth.

Podcasts & Interviews

Generate multi-voice audio content

Create podcast episodes with multiple AI speakers, each with a distinct speaker embedding defining unique timbre and vocal quality. Use audio tags to script natural conversational dynamics — [laughing] for genuine reactions, [interrupting] for realistic crosstalk, [excited] for enthusiastic responses. 51% of Americans have listened to audiobooks, and audio-first content consumption continues growing — AI text to speech lets you produce multi-speaker podcast content at the speed audiences expect without coordinating live recording sessions.

Audiobooks & Narration

Bring stories to life with character voices

Assign unique AI voices to each character in your story, with audio tags driving emotional delivery — [whispering] for tense scenes, [dramatically] for reveals, [sad] for emotional moments. The prosody model adapts pitch contour and speaking rhythm to each character's voice, creating distinct vocal identities throughout the narration. The global audiobook market is growing at 26.2% CAGR with 270 million monthly listeners, and AI-generated narration reduces production time from weeks to hours while maintaining natural-sounding delivery.

Game Character Dialogue

Prototype game audio rapidly

Generate dialogue for game characters using specialized video game voice presets. Iterate on scripts and hear results instantly — from battle cries with [shouting] to quiet cutscene whispers with [whispering] to villain monologues with [sarcastic]. Audio tags give designers direct control over emotional delivery without re-recording, enabling rapid iteration on dialogue trees and branching narratives. Export generated audio as MP3 for integration into game engines during prototyping and pre-production.

E-Learning & Training

Create accessible course narration

Generate clear, professionally-paced narration for online courses, training modules, and educational content. The stability parameter set to Robust produces consistent, predictable pacing suited for instructional delivery, while Natural balances engagement with clarity. 97% of L&D professionals consider video more effective than text-based documentation for training — pair your generated narration with AI Avatar Lip Sync to create instructor talking head videos. Multi-language support enables localization of the same course content across dozens of languages from a single script.

Marketing & Ads

Produce voiceovers at scale

Create AI voiceovers for video ads, product demos, explainer videos, and social media campaigns. Generate multiple voice variants with different emotional deliveries using audio tags — [excited] for product launches, [calm] for brand storytelling, [confident] for testimonial-style content. A/B test audience response by generating the same script with different voices and prosody settings. AI voice generation eliminates the scheduling and studio costs of traditional voiceover production while delivering results in minutes.

Social Media & TikTok

Best Practices for AI Text to Speech

Writing Tips

Write dialogue as natural conversation — contractions, informal phrasing, and sentence fragments sound more realistic than formal prose
Use punctuation to control prosody: commas insert natural pauses, ellipses create hesitation, and exclamation marks increase pitch energy
Place audio tags at the start of a line for consistent emotional delivery throughout, or mid-sentence for dramatic tonal shifts
Keep individual dialogue lines focused on one thought — long run-on sentences reduce the prosody model's ability to place natural stress and pauses

Audio Tag Tips

Use audio tags at key emotional beats — tagging every line flattens the contrast between neutral and emotional delivery
Non-verbal tags like [sigh], [laugh], and [gasp] work most naturally at the beginning of a line before spoken text
Test different stability settings with the same audio tags — Creative amplifies tag effects while Robust moderates them
Combine emotion tags with pacing tags for layered control: [excited] sets the emotion while [quickly] adjusts speaking rate

Technical Specifications

AI Model

Multi-speaker dialogue synthesis engine with prosody modeling
Preset voice library organized by category (conversational, storytelling, video games, TikTok, Hollywood, announcers, relaxing)
Audio tags across 6 categories for emotion and delivery control
Stability control: Creative (high prosodic variance), Natural (balanced), Robust (consistent pacing)

Input

Text dialogue: up to 5,000 characters per generation
Multi-speaker: unlimited dialogue lines per request
Language support: dozens of languages with auto-detect available
Audio tags: inline text markers for emotion, delivery, non-verbal, sound effects, accent, and pacing control

Output

Format: MP3 audio file
Compatible with AI Avatar Lip Sync for talking head video creation
Processing time: seconds for short text, minutes for long dialogues
Download: instant after generation completes

Related AI Tools

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Text to Speech FAQ

Technical answers about AI text to speech, multi-speaker dialogue synthesis, audio tags, and voice generation.

Generate AI Speech from Text

Convert text to natural AI speech with multi-speaker dialogue, audio tags for emotion control, and prosody tuning. Create voice content for podcasts, e-learning, marketing, and social media — then pair with AI Avatar Lip Sync for talking head videos.