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
Iphutha Female
Sebenzisa

English Female 2

Bark
Iphutha Female
Sebenzisa

English Female 3

Bark
Iphutha Female
Sebenzisa

English Female 4

Bark
Iphutha Female
Sebenzisa

English Male 1

Bark
Iphutha Male
Sebenzisa

English Male 2

Bark
Iphutha Male
Sebenzisa

English Male 3

Bark
Iphutha Male
Sebenzisa

English Male 4

Bark
Iphutha Male
Sebenzisa

English Male 5

Bark
Iphutha Male
Sebenzisa

English Male 6

Bark
Iphutha Male
Sebenzisa

English Female 1

Bark Small
Iphutha Female
Sebenzisa

English Female 2

Bark Small
Iphutha Female
Sebenzisa

English Male 1

Bark Small
Iphutha Male
Sebenzisa

Default

Chatterbox
i-Premium Neutral
Sebenzisa
Iphutha Neutral
Sebenzisa

English Female

CosyVoice 2
Iphutha Female
Sebenzisa

English Male

CosyVoice 2
Iphutha Male
Sebenzisa

English Female

CosyVoice3
Iphutha Female
Sebenzisa

English Male

CosyVoice3
Iphutha Male
Sebenzisa

Default

Darwin TTS
Iphutha Neutral
Sebenzisa

Speaker 1

Dia TTS
Iphutha Neutral
Sebenzisa

Speaker 2

Dia TTS
Iphutha Neutral
Sebenzisa

English Default

GPT-SoVITS
Iphutha Neutral
Sebenzisa

Default

IndexTTS-2
Iphutha Neutral
Sebenzisa
Iphutha Neutral
Sebenzisa

Default

Kani TTS 2
Iphutha Neutral
Sebenzisa

Bella

Kitten TTS
Ikhululekile Female
Sebenzisa

Bruno

Kitten TTS
Ikhululekile Male
Sebenzisa

Hugo

Kitten TTS
Ikhululekile Male
Sebenzisa

Jasper

Kitten TTS
Ikhululekile Male
Sebenzisa

Kiki

Kitten TTS
Ikhululekile Female
Sebenzisa
Ikhululekile Male
Sebenzisa

Luna

Kitten TTS
Ikhululekile Female
Sebenzisa

Rosie

Kitten TTS
Ikhululekile Female
Sebenzisa

Adam

Kokoro
Ikhululekile Male
Sebenzisa

Bella

Kokoro
Ikhululekile Female
Sebenzisa

Emma (British)

Kokoro
Ikhululekile Female
Sebenzisa

George (British)

Kokoro
Ikhululekile Male
Sebenzisa

Heart

Kokoro
Ikhululekile Female
Sebenzisa

Isabella (British)

Kokoro
Ikhululekile Female
Sebenzisa

Lewis (British)

Kokoro
Ikhululekile Male
Sebenzisa

Michael

Kokoro
Ikhululekile Male
Sebenzisa

Nicole

Kokoro
Ikhululekile Female
Sebenzisa

Sarah

Kokoro
Ikhululekile Female
Sebenzisa

Sky

Kokoro
Ikhululekile Female
Sebenzisa

English British

MeloTTS
Ikhululekile Female
Sebenzisa

English US

MeloTTS
Ikhululekile Female
Sebenzisa

Default

Ming-Omni TTS
Ikhululekile Neutral
Sebenzisa

Default

MOSS-TTS Nano
Iphutha Neutral
Sebenzisa

Default Speaker

MOSS-TTSD
Iphutha Neutral
Sebenzisa

Default

OpenVoice
i-Premium Neutral
Sebenzisa

Dan

Orpheus
Iphutha Male
Sebenzisa

Jess

Orpheus
Iphutha Female
Sebenzisa

Leah

Orpheus
Iphutha Female
Sebenzisa

Leo

Orpheus
Iphutha Male
Sebenzisa

Mia

Orpheus
Iphutha Female
Sebenzisa

Tara

Orpheus
Iphutha Female
Sebenzisa

Zac

Orpheus
Iphutha Male
Sebenzisa

Zoe

Orpheus
Iphutha Female
Sebenzisa

Female 1 (Neutral)

OuteTTS
Ikhululekile Female
Sebenzisa

Default

Parler TTS
Iphutha Neutral
Sebenzisa

Alan (UK)

Piper
Ikhululekile Male
Sebenzisa

Alba (UK)

Piper
Ikhululekile Female
Sebenzisa

Amy (US)

Piper
Ikhululekile Female
Sebenzisa

Jenny (UK)

Piper
Ikhululekile Female
Sebenzisa

Joe (US)

Piper
Ikhululekile Male
Sebenzisa

Lessac (US)

Piper
Ikhululekile Male
Sebenzisa

Ryan (US)

Piper
Ikhululekile Male
Sebenzisa

Alba

Pocket TTS
Ikhululekile Female
Sebenzisa

Azelma

Pocket TTS
Ikhululekile Female
Sebenzisa

Cosette

Pocket TTS
Ikhululekile Female
Sebenzisa

Eponine

Pocket TTS
Ikhululekile Female
Sebenzisa

Fantine

Pocket TTS
Ikhululekile Female
Sebenzisa

Javert

Pocket TTS
Ikhululekile Male
Sebenzisa

Jean

Pocket TTS
Ikhululekile Male
Sebenzisa

Marius

Pocket TTS
Ikhululekile Male
Sebenzisa

Aiden

Qwen3 TTS
Iphutha Male
Sebenzisa

Dylan

Qwen3 TTS
Iphutha Male
Sebenzisa

Eric

Qwen3 TTS
Iphutha Male
Sebenzisa

Ryan

Qwen3 TTS
Iphutha Male
Sebenzisa

Serena

Qwen3 TTS
Iphutha Female
Sebenzisa

Vivian

Qwen3 TTS
Iphutha Female
Sebenzisa

Speaker 0

Sesame CSM
i-Premium Neutral
Sebenzisa

Speaker 1

Sesame CSM
i-Premium Neutral
Sebenzisa

Default

Spark TTS
Iphutha Neutral
Sebenzisa

Default

StyleTTS 2
i-Premium Neutral
Sebenzisa

Random

Tortoise TTS
i-Premium Neutral
Sebenzisa

Speaker 1

VibeVoice
Iphutha Neutral
Sebenzisa

Speaker 2

VibeVoice
Iphutha Neutral
Sebenzisa

Speaker 3

VibeVoice
Iphutha Neutral
Sebenzisa

Speaker 4

VibeVoice
Iphutha Neutral
Sebenzisa

Default

VITS
Ikhululekile Neutral
Sebenzisa

Default

VoxCPM
Iphutha Neutral
Sebenzisa

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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