English Text to Speech

Turn English text into natural speech with AI voices. 93 voices. Free, no signup — download as MP3 or WAV.

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.

Open the English voice editor

Sample — English

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

Native name
English
Speakers
1.5 billion total speakers (about 380 million native)
Language family
West Germanic branch of Indo-European
Script
Latin
Spoken in
United States, United Kingdom, Canada, Australia, India, Nigeria, Ireland, New Zealand, South Africa

93 English AI Voices

English Female 1

Bark
Standartinis Female
Naudojimas

English Female 2

Bark
Standartinis Female
Naudojimas

English Female 3

Bark
Standartinis Female
Naudojimas

English Female 4

Bark
Standartinis Female
Naudojimas

English Male 1

Bark
Standartinis Male
Naudojimas

English Male 2

Bark
Standartinis Male
Naudojimas

English Male 3

Bark
Standartinis Male
Naudojimas

English Male 4

Bark
Standartinis Male
Naudojimas

English Male 5

Bark
Standartinis Male
Naudojimas

English Male 6

Bark
Standartinis Male
Naudojimas

English Female 1

Bark Small
Standartinis Female
Naudojimas

English Female 2

Bark Small
Standartinis Female
Naudojimas

English Male 1

Bark Small
Standartinis Male
Naudojimas

Default

Chatterbox
Priemoka Neutral
Naudojimas
Standartinis Neutral
Naudojimas

English Female

CosyVoice 2
Standartinis Female
Naudojimas

English Male

CosyVoice 2
Standartinis Male
Naudojimas

English Female

CosyVoice3
Standartinis Female
Naudojimas

English Male

CosyVoice3
Standartinis Male
Naudojimas

Default

Darwin TTS
Standartinis Neutral
Naudojimas

Speaker 1

Dia TTS
Standartinis Neutral
Naudojimas

Speaker 2

Dia TTS
Standartinis Neutral
Naudojimas

English Default

GPT-SoVITS
Standartinis Neutral
Naudojimas

Default

IndexTTS-2
Standartinis Neutral
Naudojimas
Standartinis Neutral
Naudojimas

Default

Kani TTS 2
Standartinis Neutral
Naudojimas

Bella

Kitten TTS
Neapmuitinama Female
Naudojimas

Bruno

Kitten TTS
Neapmuitinama Male
Naudojimas

Hugo

Kitten TTS
Neapmuitinama Male
Naudojimas

Jasper

Kitten TTS
Neapmuitinama Male
Naudojimas

Kiki

Kitten TTS
Neapmuitinama Female
Naudojimas
Neapmuitinama Male
Naudojimas

Luna

Kitten TTS
Neapmuitinama Female
Naudojimas

Rosie

Kitten TTS
Neapmuitinama Female
Naudojimas

Adam

Kokoro
Neapmuitinama Male
Naudojimas

Bella

Kokoro
Neapmuitinama Female
Naudojimas

Emma (British)

Kokoro
Neapmuitinama Female
Naudojimas

George (British)

Kokoro
Neapmuitinama Male
Naudojimas

Heart

Kokoro
Neapmuitinama Female
Naudojimas

Isabella (British)

Kokoro
Neapmuitinama Female
Naudojimas

Lewis (British)

Kokoro
Neapmuitinama Male
Naudojimas

Michael

Kokoro
Neapmuitinama Male
Naudojimas

Nicole

Kokoro
Neapmuitinama Female
Naudojimas

Sarah

Kokoro
Neapmuitinama Female
Naudojimas

Sky

Kokoro
Neapmuitinama Female
Naudojimas

English British

MeloTTS
Neapmuitinama Female
Naudojimas

English US

MeloTTS
Neapmuitinama Female
Naudojimas

Default

Ming-Omni TTS
Neapmuitinama Neutral
Naudojimas

Default

MOSS-TTS Nano
Standartinis Neutral
Naudojimas

Default Speaker

MOSS-TTSD
Standartinis Neutral
Naudojimas

Default

OpenVoice
Priemoka Neutral
Naudojimas

Dan

Orpheus
Standartinis Male
Naudojimas

Jess

Orpheus
Standartinis Female
Naudojimas

Leah

Orpheus
Standartinis Female
Naudojimas

Leo

Orpheus
Standartinis Male
Naudojimas

Mia

Orpheus
Standartinis Female
Naudojimas

Tara

Orpheus
Standartinis Female
Naudojimas

Zac

Orpheus
Standartinis Male
Naudojimas

Zoe

Orpheus
Standartinis Female
Naudojimas

Female 1 (Neutral)

OuteTTS
Neapmuitinama Female
Naudojimas

Default

Parler TTS
Standartinis Neutral
Naudojimas

Alan (UK)

Piper
Neapmuitinama Male
Naudojimas

Alba (UK)

Piper
Neapmuitinama Female
Naudojimas

Amy (US)

Piper
Neapmuitinama Female
Naudojimas

Jenny (UK)

Piper
Neapmuitinama Female
Naudojimas

Joe (US)

Piper
Neapmuitinama Male
Naudojimas

Lessac (US)

Piper
Neapmuitinama Male
Naudojimas

Ryan (US)

Piper
Neapmuitinama Male
Naudojimas

Alba

Pocket TTS
Neapmuitinama Female
Naudojimas

Azelma

Pocket TTS
Neapmuitinama Female
Naudojimas

Cosette

Pocket TTS
Neapmuitinama Female
Naudojimas

Eponine

Pocket TTS
Neapmuitinama Female
Naudojimas

Fantine

Pocket TTS
Neapmuitinama Female
Naudojimas

Javert

Pocket TTS
Neapmuitinama Male
Naudojimas

Jean

Pocket TTS
Neapmuitinama Male
Naudojimas

Marius

Pocket TTS
Neapmuitinama Male
Naudojimas

Aiden

Qwen3 TTS
Standartinis Male
Naudojimas

Dylan

Qwen3 TTS
Standartinis Male
Naudojimas

Eric

Qwen3 TTS
Standartinis Male
Naudojimas

Ryan

Qwen3 TTS
Standartinis Male
Naudojimas

Serena

Qwen3 TTS
Standartinis Female
Naudojimas

Vivian

Qwen3 TTS
Standartinis Female
Naudojimas

Speaker 0

Sesame CSM
Priemoka Neutral
Naudojimas

Speaker 1

Sesame CSM
Priemoka Neutral
Naudojimas

Default

Spark TTS
Standartinis Neutral
Naudojimas

Default

StyleTTS 2
Priemoka Neutral
Naudojimas

Random

Tortoise TTS
Priemoka Neutral
Naudojimas

Speaker 1

VibeVoice
Standartinis Neutral
Naudojimas

Speaker 2

VibeVoice
Standartinis Neutral
Naudojimas

Speaker 3

VibeVoice
Standartinis Neutral
Naudojimas

Speaker 4

VibeVoice
Standartinis Neutral
Naudojimas

Default

VITS
Neapmuitinama Neutral
Naudojimas

Default

VoxCPM
Standartinis Neutral
Naudojimas

What people use English text to speech for

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 Text to Speech — 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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