Text-to-Speech
Convert text to natural-sounding speech
Modelos text-to-speech para apps de voz, audiolivros e IVR
Os modelos text-to-speech (TTS) transformam texto escrito em áudio falado de som natural. A categoria cobre desde um voiceover plano de IVR a narração expressiva para audiolivros e agentes conversacionais em tempo real capazes de aguentar uma chamada telefónica. Recorra a um modelo TTS quando precisar de dar voz ao software — para acessibilidade, produção de conteúdo em escala ou IA conversacional.
27 models available
ElevenLabs Multilingual V2
ElevenLabs' most natural-sounding TTS model. Supports 29 languages with emotional range.
AudioCraft
Meta's AudioCraft framework wrapping MusicGen, AudioGen and EnCodec. Unified text-to-audio research toolkit for music and sound effects.
AudioLDM 2
Latent-diffusion model for general-purpose text-to-audio. Generates speech, music, and sound effects with a unified prior.
Cartesia Sonic
Cartesia's ultra-low-latency TTS (~90ms TTFB). State-space model with voice cloning support.
Edge TTS
Microsoft Edge neural voices accessed via the open-source edge-tts wrapper. 400+ voices across 100+ locales, suitable for batch generation.
ElevenLabs v3 (alpha)
ElevenLabs' v3 alpha TTS. Most expressive voice model with audio tags and laughter, higher latency.
F5-TTS
Open-source flow-matching TTS with strong zero-shot voice cloning. Code MIT, weights CC-BY-NC.
Kokoro TTS 82M
Open-weights 82M-parameter TTS. Punches above its size class on naturalness benchmarks at a fraction of the inference cost of larger models.
MAGNeT MusicGen
Meta MAGNeT non-autoregressive music generator. Up to 7x faster than MusicGen with comparable quality via masked generative transformers.
MusicGen Large
Meta's 3.3B-parameter MusicGen Large. Text-conditioned music generation with single-stage autoregressive transformer, supports melody conditioning.
MusicGen Medium
Meta MusicGen Medium (1.5B params). Strong quality-to-speed tradeoff for text-to-music with optional melody guidance.
MusicGen Small
Meta MusicGen Small (300M params). Fast text-to-music generation suitable for prototyping and low-latency demos.
OpenAI TTS-1
OpenAI's text-to-speech model. Six built-in voices with natural intonation.
OpenAI TTS-1 HD
OpenAI's high-definition TTS model. Better quality for production use cases.
OpenVoice v1
MyShell OpenVoice v1. Cross-lingual voice cloning with flexible style control: emotion, accent, rhythm, pauses, and intonation.
OpenVoice v2
MyShell OpenVoice v2. Multilingual zero-shot voice cloning with accurate tone-color reproduction and style/emotion control.
Parler-TTS
Hugging Face Parler-TTS Mini. Lightweight TTS conditioned on a natural-language style description for fine-grained control over voice characteristics.
Parler-TTS Large
Parler-TTS Large v1. 2.2B parameters, natural-language style prompting and improved prosody over the Mini variant.
PlayHT 2.0
PlayHT's 2.0 generative voice model. Multi-lingual expressive speech synthesis with sub-second latency and high-fidelity voice cloning.
Riffusion
Stable-Diffusion-based real-time music generator. Operates on spectrogram images then resynthesizes audio, enables seamless transitions and looping.
RVC Voice Conversion
Retrieval-based Voice Conversion. Converts a source recording into a target speaker's voice, preserving pitch, prosody and rhythm.
Spark TTS
Spark efficient TTS with disentangled control over speaker, content and style. Strong cross-lingual zero-shot performance.
Stable Audio 2
Stability AI's Stable Audio 2.0. Text-to-music up to 3 minutes of full-length, structured tracks at 44.1 kHz.
StyleTTS 2
Style-based TTS using diffusion and adversarial training. Human-level naturalness in zero-shot voice synthesis from a 3-5s reference clip.
Suno Bark
Suno's text-prompted generative audio model. Speech, music, ambient sound and effects with non-verbal cues like laughter or sighs.
Tortoise TTS
Multi-voice expressive TTS. Slow but high-quality with strong prosody and natural intonation. Trained for long-form narration use cases.
XTTS v2
Coqui's XTTS v2 multilingual TTS with voice cloning from 6 seconds of reference audio. Supports 17 languages and emotion transfer.
Top text-to-speech picks
Hand-picked across four common criteria — resolved against the live catalog so the picks track price and performance changes.
ElevenLabs' most natural-sounding TTS model. Supports 29 languages with emotional range.
Learn moreCartesia's ultra-low-latency TTS (~90ms TTFB). State-space model with voice cloning support.
Learn moreElevenLabs' most natural-sounding TTS model. Supports 29 languages with emotional range.
Learn moreOpenAI's text-to-speech model. Six built-in voices with natural intonation.
Learn moreO pricing é quase sempre por carácter ou por milhar de caracteres. As vozes neurais flagship (ElevenLabs V3, Cartesia Sonic, OpenAI TTS-HD) custam cerca de €0,15-0,30 por mil caracteres; os tiers económicos ficam abaixo de €0,02 por mil. Um capítulo curto de audiolivro típico (3.000 palavras, cerca de 18.000 caracteres) custa €0,30-€5,00 consoante o tier. Alguns fornecedores cobram ainda pela clonagem de voz — uma taxa única para configurar uma voz personalizada mais a tarifa padrão por carácter na altura da síntese.
O triângulo de compromissos é naturalidade, latência e custo. As vozes flagship são quase indistinguíveis da narração humana, mas têm tipicamente latência ao primeiro byte de 200-600ms, o que dá para síntese em batch mas parece lento em chat em tempo real. O TTS em streaming (Cartesia, OpenAI Realtime, ElevenLabs Turbo) mantém a latência ao primeiro byte abaixo dos 100ms emitindo áudio assim que o primeiro fonema é descodificado. Os tiers económicos correm à velocidade do flagship mas com artefactos robóticos audíveis nas frases longas.
Atenção ao controlo da prosódia: mesmo os melhores modelos por vezes erram na sílaba tónica de um nome próprio, pronunciam mal um acrónimo ou perdem a intenção emocional em frases longas. Use tags SSML (onde suportadas) ou parta passagens longas em pedaços mais curtos com fronteiras de frase explícitas. Para conteúdo multilingue, verifique a pronúncia em cada par de línguas antes de lançar — algumas vozes falam inglês na perfeição e alemão com sotaque pesado.
As top picks acima cobrem a voz com som mais natural, o cavalo de batalha mais barato, o modelo que suporta o input mais longo e a opção de streaming mais rápida.
Popular use cases
Common patterns built with text-to-speech on Railwail.
Related comparisons
Side-by-side reviews of the most-compared models in this category.
Frequently asked questions
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