Diatts

Diatts

Dia TTS is an open-source text-to-speech model specialized in realistic multi-speaker dialogue generation, offering voice cloning, emotion/tone control, and direct non-verbal sound synthesis. It is released under the Apache 2.0 license and optimized for real-time use on consumer-grade GPUs.

Diatts is voice & speech software teams evaluate for content & marketing. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free
#75 in Voice & Speech (75 tools)
Added 2 months ago
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Quick Overview

Best for: Content & Marketing

What it does

Voice & Speech software for decision-makers comparing workflow fit and alternatives.

Best fit

Content & Marketing

Pricing snapshot

Free from Free (Apache 2.0)

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Diatts

Dia TTS is an advanced open-source text-to-speech system designed to generate ultra-lifelike multi-speaker conversations. Unlike traditional TTS, Dia TTS models natural dialogue phenomena such as pauses, interruptions, and variable speaking speeds, and it supports direct generation of non-verbal sounds (e.g., laughter, coughing). Its toolset includes voice cloning from short reference audio, fine-grained emotion and tone control, and open weights and code under the Apache 2.0 license.

Target users include content creators, game developers, language teachers, and teams building virtual assistants or customer support systems who need realistic conversational audio without proprietary licensing or subscription fees. The project emphasizes transparency and extensibility, providing model weights and code for researchers and developers to customize and deploy.

Dia TTS is an open-source text-to-speech model specialized in realistic multi-speaker dialogue generation, offering voice cloning, emotion/tone control, and direct non-verbal sound synthesis. It is released under the Apache 2.0 license and optimized for real-time use on consumer-grade GPUs.

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Key Features

Realistic Dialogue Generation

Generates multi-speaker conversations with natural timing, tone, and dialogue dynamics such as pauses and interruptions, preserving distinct voices per speaker tag.

Non-Verbal Sound Support

Produces non-verbal sounds (laughs, coughs, throat clearing) directly from text cues like (laughs) or (coughs), removing the need for separate sound effects.

Voice Cloning

Clones voice style and emotional characteristics from a short audio sample plus transcript to produce consistent custom voices across content.

Emotion and Tone Control

Allows fine-tuning of emotional delivery and tone, enabling context-appropriate output from neutral narration to emotionally charged lines.

Open Source (Apache 2.0)

Model weights and code are publicly available under the Apache 2.0 license, permitting free commercial use and modification.

Large-Scale Model (1.6B parameters)

Uses a 1.6 billion parameter transformer to capture intonation, rhythm, and long-range context for coherent extended passages.

Transformer Architecture

Employs transformer-based modeling optimized for processing long text sequences and maintaining context across dialogue.

Audio Conditioning

Supports reference-audio conditioning to guide voice style, emotion, and tone for more precise output control.

Optimized for Real-Time

Designed to run efficiently on consumer-grade GPUs; example performance noted is ~40 tokens/second on an A4000 GPU (requires CUDA and sufficient VRAM).

Simple Multi-Speaker Input

Uses simple speaker tags (e.g., [S1], [S2]) and text-based non-verbal cues for straightforward script-driven generation.

Pricing

Free Tier Available

Fully open-source under the Apache 2.0 license; free for commercial and personal use with access to weights and code.

Open Source

Free (Apache 2.0)
  • Full access to model weights and code
  • Commercial use allowed under Apache 2.0
  • Self-hosting and customization

Use Cases

Content Creation

Generate dialogue for podcasts, audiobooks, and videos with multiple speakers and embedded non-verbal sounds, streamlining production and editing.

Language Learning

Create realistic conversational practice material for listening and speaking exercises, with controllable emotion and natural timing.

Customer Support & Virtual Assistants

Power virtual assistants and automated support voices that feel more human-like, improving user satisfaction and engagement.

Game Development

Provide lifelike character voices and interactions—useful for indie developers and prototyping where hiring actors may be infeasible.

Advertising and Marketing

Produce expressive voiceovers with A/B-testable emotional tones for ads and promotional materials.

Integrations

GitHub

Code, model weights, and resources are published on GitHub for cloning, issue tracking, and community contributions.

NVIDIA CUDA / Consumer GPUs

Runs on NVIDIA GPUs with CUDA support (recommended minimum 10GB VRAM); integrates with local GPU environments for real-time inference.

Benefits

Highly realistic, multi-speaker dialogue with embedded non-verbal sounds reduces production complexity and need for separate effects or actors.
Open-source Apache 2.0 license enables free commercial use, customization, and research without subscription fees.
Optimized for consumer-grade GPUs so teams can run the model locally for lower latency and cost-controlled deployments.

Limitations

Language support is currently limited to English only; other languages are planned but not yet available.
Requires an NVIDIA GPU with sufficient VRAM (minimum ~10GB) and CUDA support, which may limit usage on CPU-only or low-end hardware.

Frequently Asked Questions

What is Dia TTS?
Dia TTS is an advanced open-source text-to-speech model (1.6 billion parameters) that specializes in realistic dialogue generation, voice cloning, emotional control, and non-verbal sound synthesis.
How does Dia TTS handle multiple speakers?
Dia TTS uses simple tags like [S1], [S2] in the input text to mark different speakers and generates natural conversations while maintaining distinct voices for each tag.
What makes Dia TTS unique?
Its direct dialogue generation capabilities, support for non-verbal sounds from text cues, advanced voice cloning, precise emotion control, and fully open-source Apache 2.0 release distinguish it from many TTS systems.
What hardware is required to run Dia TTS?
An NVIDIA GPU with at least 10GB of VRAM and CUDA support is required. Performance example: approximately 40 tokens per second on an A4000 GPU.
Does Dia TTS support voice cloning?
Yes. Users can upload a short audio sample with its transcript to guide voice cloning and reproduce voice style and emotion.
What languages does Dia TTS support?
Currently Dia TTS supports English only. Plans to expand language support are indicated for future updates.
How does Dia TTS handle non-verbal sounds?
Non-verbal sounds like laughs or coughs can be included in the input using text cues (e.g., (laughs)), and Dia TTS will synthesize them directly.
Is Dia TTS free for commercial use?
Yes. Dia TTS is released under the Apache 2.0 license, allowing free commercial use without subscription fees.
How does audio conditioning work in Dia TTS?
Users upload reference audio which Dia TTS uses to condition voice style, emotion, and tone, enabling more precise matching of desired characteristics.

Getting Started

  1. 1 Step 1: Input your script into the Dia TTS interface, using speaker tags like [S1], [S2] and optional non-verbal cues such as (laughs).
  2. 2 Step 2: (Optional) Upload a reference audio file to condition voice style or enable voice cloning for a custom voice.
  3. 3 Step 3: Click "Generate" to produce speech; preview the generated audio and download the output file if satisfied.

Support

email

Contact support via [email protected] for questions and assistance.

GitHub (issues & code)

Open-source repository and issue tracker available on GitHub for bug reports, contribution, and access to weights and code.

documentation

Documentation and usage resources are available in the project repository on GitHub (specific docs links not provided on page).

API

Available: No

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