English Texte au discours

Tourner English texte dans un discours naturel avec des voix d'IA. 93 voix. Gratuit, pas d'inscription — télécharger en MP3 ou WAV.

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Enveloppez votre texte dans des balises SSML pour un contrôle précis :

<speak><prosody rate="slow">Slow speech</prosody></speak>

Mots clés le modèle sélectionné comprend — cliquez pour en déposer un dans votre texte où il se produit:

Ce modèle lit du texte clair, donc les balises en ligne sont ignorées. Pour l'émotion basée sur les tags, passer à un modèle expressif comme Orphée ou Bark.

Définir les prononciations personnalisées (mot = prononciation) :

-12 +12
0.5x 2.0x
Gratuit avec Piper, VITS, MeloTTS
Votre audio généré apparaîtra ici. Choisissez un modèle, entrez le texte et cliquez sur Générer.
Production audio réussie
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À propos English texte à discours

English text-to-speech spans a wide accent range — General American, Received Pronunciation, Scottish, Irish, Australian, Indian and others — and the choice materially changes vowel quality and rhythm. English is stress-timed, so a natural voice must reduce unstressed syllables to schwa and place sentence stress correctly rather than giving every word equal weight. Its deep orthography (where "ough" reads six different ways) makes a strong pronunciation dictionary and number/abbreviation normalization the hardest part of good English synthesis.

Échantillon — English

“The quick brown fox jumps over the lazy dog while the morning sun rises slowly above the quiet valley.”

Nom de famille
English
Conférenciers
1.5 billion total speakers (about 380 million native)
Famille linguistique
West Germanic branch of Indo-European
Scénario
Latin
Interviennent:
United States, United Kingdom, Canada, Australia, India, Nigeria, Ireland, New Zealand, South Africa

93 English voix

English Female 1

Bark
Norme Female

English Female 2

Bark
Norme Female

English Female 3

Bark
Norme Female

English Female 4

Bark
Norme Female

English Male 1

Bark
Norme Male

English Male 2

Bark
Norme Male

English Male 3

Bark
Norme Male

English Male 4

Bark
Norme Male

English Male 5

Bark
Norme Male

English Male 6

Bark
Norme Male

English Female 1

Bark Small
Norme Female

English Female 2

Bark Small
Norme Female

English Male 1

Bark Small
Norme Male

Default

Chatterbox
Prime Neutral
Norme Neutral

English Female

CosyVoice 2
Norme Female

English Male

CosyVoice 2
Norme Male

English Female

CosyVoice3
Norme Female

English Male

CosyVoice3
Norme Male

Default

Darwin TTS
Norme Neutral

Speaker 1

Dia TTS
Norme Neutral

Speaker 2

Dia TTS
Norme Neutral

English Default

GPT-SoVITS
Norme Neutral

Default

IndexTTS-2
Norme Neutral
Norme Neutral

Default

Kani TTS 2
Norme Neutral

Bella

Kitten TTS
Gratuit Female

Bruno

Kitten TTS
Gratuit Male

Hugo

Kitten TTS
Gratuit Male

Jasper

Kitten TTS
Gratuit Male

Kiki

Kitten TTS
Gratuit Female
Gratuit Male

Luna

Kitten TTS
Gratuit Female

Rosie

Kitten TTS
Gratuit Female

Adam

Kokoro
Gratuit Male

Bella

Kokoro
Gratuit Female

Emma (British)

Kokoro
Gratuit Female

George (British)

Kokoro
Gratuit Male

Heart

Kokoro
Gratuit Female

Isabella (British)

Kokoro
Gratuit Female

Lewis (British)

Kokoro
Gratuit Male

Michael

Kokoro
Gratuit Male

Nicole

Kokoro
Gratuit Female

Sarah

Kokoro
Gratuit Female

Sky

Kokoro
Gratuit Female

English British

MeloTTS
Gratuit Female

English US

MeloTTS
Gratuit Female

Default

Ming-Omni TTS
Gratuit Neutral

Default

MOSS-TTS Nano
Norme Neutral

Default Speaker

MOSS-TTSD
Norme Neutral

Default

OpenVoice
Prime Neutral

Dan

Orpheus
Norme Male

Jess

Orpheus
Norme Female

Leah

Orpheus
Norme Female

Leo

Orpheus
Norme Male

Mia

Orpheus
Norme Female

Tara

Orpheus
Norme Female

Zac

Orpheus
Norme Male

Zoe

Orpheus
Norme Female

Female 1 (Neutral)

OuteTTS
Gratuit Female

Default

Parler TTS
Norme Neutral

Alan (UK)

Piper
Gratuit Male

Alba (UK)

Piper
Gratuit Female

Amy (US)

Piper
Gratuit Female

Jenny (UK)

Piper
Gratuit Female

Joe (US)

Piper
Gratuit Male

Lessac (US)

Piper
Gratuit Male

Ryan (US)

Piper
Gratuit Male

Alba

Pocket TTS
Gratuit Female

Azelma

Pocket TTS
Gratuit Female

Cosette

Pocket TTS
Gratuit Female

Eponine

Pocket TTS
Gratuit Female

Fantine

Pocket TTS
Gratuit Female

Javert

Pocket TTS
Gratuit Male

Jean

Pocket TTS
Gratuit Male

Marius

Pocket TTS
Gratuit Male

Aiden

Qwen3 TTS
Norme Male

Dylan

Qwen3 TTS
Norme Male

Eric

Qwen3 TTS
Norme Male

Ryan

Qwen3 TTS
Norme Male

Serena

Qwen3 TTS
Norme Female

Vivian

Qwen3 TTS
Norme Female

Speaker 0

Sesame CSM
Prime Neutral

Speaker 1

Sesame CSM
Prime Neutral

Default

Spark TTS
Norme Neutral

Default

StyleTTS 2
Prime Neutral

Random

Tortoise TTS
Prime Neutral

Speaker 1

VibeVoice
Norme Neutral

Speaker 2

VibeVoice
Norme Neutral

Speaker 3

VibeVoice
Norme Neutral

Speaker 4

VibeVoice
Norme Neutral

Default

VITS
Gratuit Neutral

Default

VoxCPM
Norme Neutral

Ce que les gens utilisent English texte au discours pour

Audiobook and e-learning narration
YouTube and podcast voiceover
IVR and call-center prompts
Screen readers and accessibility tools
E-commerce and explainer video voiceover

English Texte vers le discours — FAQ

Voices cover American, British (RP), Australian, Irish, Scottish and Indian English among others, so you can match the accent to your target audience.

Yes. The engine normalizes text first, so "$19.99", "Dr.", "2024" and "St." are expanded to the words a human would actually say in context.

Both are supported. Spellings like "colour/color" or "realise/realize" are read identically; only the selected accent changes how the words sound.

Yes — punctuation drives natural pausing, and supported voices respond to SSML tags for stress, rate and inserted breaks.

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