Text-to-Speech
Convert text to natural-sounding speech
Modelli text-to-speech per app vocali, audiolibri e IVR
I modelli text-to-speech (TTS) trasformano testo scritto in audio parlato dal suono naturale. La categoria copre dal voiceover IVR piatto alla narrazione espressiva per audiolibri fino agli agenti conversazionali in tempo reale che reggono una telefonata. Si ricorre a un modello TTS quando bisogna dare voce a un software — per accessibilità , produzione di contenuti su larga scala o conversational AI.
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 moreIl pricing è quasi sempre per carattere o per migliaia di caratteri. Le voci neurali flagship (ElevenLabs V3, Cartesia Sonic, OpenAI TTS-HD) costano circa €0,15-0,30 per mille caratteri; i tier economici stanno sotto €0,02 per mille. Un tipico capitolo breve di audiolibro (3.000 parole, circa 18.000 caratteri) costa €0,30-€5,00 a seconda del tier. Alcuni fornitori addebitano anche per il voice cloning — una tariffa una tantum per impostare una voce personalizzata più la tariffa standard per carattere al momento della sintesi.
Il triangolo di compromessi è naturalezza, latenza e costo. Le voci flagship sono quasi indistinguibili dalla narrazione umana ma hanno tipicamente una latenza al primo byte di 200-600ms, accettabile per sintesi batch ma lenta in chat in tempo reale. Il TTS in streaming (Cartesia, OpenAI Realtime, ElevenLabs Turbo) mantiene la latenza al primo byte sotto i 100ms emettendo l'audio appena viene decodificato il primo fonema. I tier economici girano alla velocità del flagship ma con artefatti robotici udibili nelle frasi lunghe.
Attenzione al controllo della prosodia: anche i migliori modelli ogni tanto sbagliano l'accento di un nome proprio, pronunciano male un acronimo o perdono l'intenzione emotiva nelle frasi lunghe. Usate tag SSML (dove supportati) o spezzate i passaggi lunghi in chunk più brevi con confini di frase espliciti. Per contenuti multilingue, verificate la pronuncia su ogni coppia di lingue prima di rilasciare — alcune voci parlano un inglese perfetto e un tedesco con accento marcato.
Le top picks qui sopra coprono la voce dal suono più naturale, il workhorse più economico, il modello che supporta l'input più lungo e l'opzione di streaming più veloce.
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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