Text-to-Speech
Convert text to natural-sounding speech
Text-to-speech models for voice apps, audiobooks, and IVR
Text-to-speech (TTS) models turn written text into natural-sounding spoken audio. The category covers everything from a flat IVR voiceover to expressive narration for audiobooks to realtime conversational agents that hold a phone call. Reach for a TTS model when you need to give software a voice — for accessibility, content production at scale, or 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 morePricing is almost always per-character or per-thousand-characters. Flagship neural voices (ElevenLabs V3, Cartesia Sonic, OpenAI TTS-HD) cost roughly €0.15-0.30 per thousand characters; budget tiers run under €0.02 per thousand. A typical short audiobook chapter (3,000 words, around 18,000 characters) costs €0.30-€5.00 depending on the tier you pick. Some providers also charge for voice cloning — a one-time fee to set up a custom voice plus the standard per-character rate at synthesis time.
The trade-off triangle is naturalness, latency, and cost. Flagship voices are nearly indistinguishable from human narration but typically have first-byte latency of 200-600ms, which is fine for batch synthesis but feels sluggish in realtime chat. Streaming TTS (Cartesia, OpenAI Realtime, ElevenLabs Turbo) keeps first-byte latency under 100ms by emitting audio as soon as the first phoneme is decoded. Budget tiers run at flagship speed but with audible robotic artifacts in long sentences.
Watch out for prosody control: even the best models occasionally mis-stress a proper noun, mispronounce an acronym, or lose emotional intent on long sentences. Use SSML tags (where supported) or break long passages into shorter chunks with explicit phrase boundaries. For multilingual content, verify pronunciation on every language pair before shipping — some voices speak English flawlessly and German with a heavy accent.
Top picks above cover the most natural-sounding voice, the cheapest workhorse, the longest-input-supporting model, and the fastest streaming option.
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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