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
Standard Female
isticmaal

English Female 2

Bark
Standard Female
isticmaal

English Female 3

Bark
Standard Female
isticmaal

English Female 4

Bark
Standard Female
isticmaal

English Male 1

Bark
Standard Male
isticmaal

English Male 2

Bark
Standard Male
isticmaal

English Male 3

Bark
Standard Male
isticmaal

English Male 4

Bark
Standard Male
isticmaal

English Male 5

Bark
Standard Male
isticmaal

English Male 6

Bark
Standard Male
isticmaal

English Female 1

Bark Small
Standard Female
isticmaal

English Female 2

Bark Small
Standard Female
isticmaal

English Male 1

Bark Small
Standard Male
isticmaal

Default

Chatterbox
Premium Neutral
isticmaal
Standard Neutral
isticmaal

English Female

CosyVoice 2
Standard Female
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English Male

CosyVoice 2
Standard Male
isticmaal

English Female

CosyVoice3
Standard Female
isticmaal

English Male

CosyVoice3
Standard Male
isticmaal

Default

Darwin TTS
Standard Neutral
isticmaal

Speaker 1

Dia TTS
Standard Neutral
isticmaal

Speaker 2

Dia TTS
Standard Neutral
isticmaal

English Default

GPT-SoVITS
Standard Neutral
isticmaal

Default

IndexTTS-2
Standard Neutral
isticmaal
Standard Neutral
isticmaal

Default

Kani TTS 2
Standard Neutral
isticmaal

Bella

Kitten TTS
Bilaash Female
isticmaal

Bruno

Kitten TTS
Bilaash Male
isticmaal

Hugo

Kitten TTS
Bilaash Male
isticmaal

Jasper

Kitten TTS
Bilaash Male
isticmaal

Kiki

Kitten TTS
Bilaash Female
isticmaal
Bilaash Male
isticmaal

Luna

Kitten TTS
Bilaash Female
isticmaal

Rosie

Kitten TTS
Bilaash Female
isticmaal

Adam

Kokoro
Bilaash Male
isticmaal

Bella

Kokoro
Bilaash Female
isticmaal

Emma (British)

Kokoro
Bilaash Female
isticmaal

George (British)

Kokoro
Bilaash Male
isticmaal

Heart

Kokoro
Bilaash Female
isticmaal

Isabella (British)

Kokoro
Bilaash Female
isticmaal

Lewis (British)

Kokoro
Bilaash Male
isticmaal

Michael

Kokoro
Bilaash Male
isticmaal

Nicole

Kokoro
Bilaash Female
isticmaal

Sarah

Kokoro
Bilaash Female
isticmaal

Sky

Kokoro
Bilaash Female
isticmaal

English British

MeloTTS
Bilaash Female
isticmaal

English US

MeloTTS
Bilaash Female
isticmaal

Default

Ming-Omni TTS
Bilaash Neutral
isticmaal

Default

MOSS-TTS Nano
Standard Neutral
isticmaal

Default Speaker

MOSS-TTSD
Standard Neutral
isticmaal

Default

OpenVoice
Premium Neutral
isticmaal

Dan

Orpheus
Standard Male
isticmaal

Jess

Orpheus
Standard Female
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Leah

Orpheus
Standard Female
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Leo

Orpheus
Standard Male
isticmaal

Mia

Orpheus
Standard Female
isticmaal

Tara

Orpheus
Standard Female
isticmaal

Zac

Orpheus
Standard Male
isticmaal

Zoe

Orpheus
Standard Female
isticmaal

Female 1 (Neutral)

OuteTTS
Bilaash Female
isticmaal

Default

Parler TTS
Standard Neutral
isticmaal

Alan (UK)

Piper
Bilaash Male
isticmaal

Alba (UK)

Piper
Bilaash Female
isticmaal

Amy (US)

Piper
Bilaash Female
isticmaal

Jenny (UK)

Piper
Bilaash Female
isticmaal

Joe (US)

Piper
Bilaash Male
isticmaal

Lessac (US)

Piper
Bilaash Male
isticmaal

Ryan (US)

Piper
Bilaash Male
isticmaal

Alba

Pocket TTS
Bilaash Female
isticmaal

Azelma

Pocket TTS
Bilaash Female
isticmaal

Cosette

Pocket TTS
Bilaash Female
isticmaal

Eponine

Pocket TTS
Bilaash Female
isticmaal

Fantine

Pocket TTS
Bilaash Female
isticmaal

Javert

Pocket TTS
Bilaash Male
isticmaal

Jean

Pocket TTS
Bilaash Male
isticmaal

Marius

Pocket TTS
Bilaash Male
isticmaal

Aiden

Qwen3 TTS
Standard Male
isticmaal

Dylan

Qwen3 TTS
Standard Male
isticmaal

Eric

Qwen3 TTS
Standard Male
isticmaal

Ryan

Qwen3 TTS
Standard Male
isticmaal

Serena

Qwen3 TTS
Standard Female
isticmaal

Vivian

Qwen3 TTS
Standard Female
isticmaal

Speaker 0

Sesame CSM
Premium Neutral
isticmaal

Speaker 1

Sesame CSM
Premium Neutral
isticmaal

Default

Spark TTS
Standard Neutral
isticmaal

Default

StyleTTS 2
Premium Neutral
isticmaal

Random

Tortoise TTS
Premium Neutral
isticmaal

Speaker 1

VibeVoice
Standard Neutral
isticmaal

Speaker 2

VibeVoice
Standard Neutral
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Speaker 3

VibeVoice
Standard Neutral
isticmaal

Speaker 4

VibeVoice
Standard Neutral
isticmaal

Default

VITS
Bilaash Neutral
isticmaal

Default

VoxCPM
Standard Neutral
isticmaal

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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