English Tekst til tale

Drej English tekst til naturlig tale med AI stemmer. 93 stemmer. Gratis, ingen tilmelding Download som MP3 eller WAV.

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Wrap din tekst i SSML tags for præcis kontrol:

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

Tags den valgte model forstår! klik for at droppe en i din tekst, hvor det sker:

Denne model læser almindelig tekst, så inline tags ignoreres. For tag-baserede følelser, skifte til en ekspressiv model som Orpheus eller Bark.

Definer brugerdefinerede udtaler (ord = udtale):

-12 +12
0.5x 2.0x
Gratis med Piper, VITS, MeloTTS
Din genererede lyd vises her. Vælg en model, indtast tekst, og klik på Generér.
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Om English tekst til tale

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.

Prøve — English

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

Navn
English
Højttalere
1.5 billion total speakers (about 380 million native)
Sprogfamilie
West Germanic branch of Indo-European
Script
Latin
Talt i
United States, United Kingdom, Canada, Australia, India, Nigeria, Ireland, New Zealand, South Africa

93 English stemmer

English Female 1

Bark
Standard Female

English Female 2

Bark
Standard Female

English Female 3

Bark
Standard Female

English Female 4

Bark
Standard Female

English Male 1

Bark
Standard Male

English Male 2

Bark
Standard Male

English Male 3

Bark
Standard Male

English Male 4

Bark
Standard Male

English Male 5

Bark
Standard Male

English Male 6

Bark
Standard Male

English Female 1

Bark Small
Standard Female

English Female 2

Bark Small
Standard Female

English Male 1

Bark Small
Standard Male

Default

Chatterbox
Præmie Neutral
Standard Neutral

English Female

CosyVoice 2
Standard Female

English Male

CosyVoice 2
Standard Male

English Female

CosyVoice3
Standard Female

English Male

CosyVoice3
Standard Male

Default

Darwin TTS
Standard Neutral

Speaker 1

Dia TTS
Standard Neutral

Speaker 2

Dia TTS
Standard Neutral

English Default

GPT-SoVITS
Standard Neutral

Default

IndexTTS-2
Standard Neutral
Standard Neutral

Default

Kani TTS 2
Standard Neutral

Bella

Kitten TTS
Fri Female

Bruno

Kitten TTS
Fri Male

Hugo

Kitten TTS
Fri Male

Jasper

Kitten TTS
Fri Male

Kiki

Kitten TTS
Fri Female
Fri Male

Luna

Kitten TTS
Fri Female

Rosie

Kitten TTS
Fri Female

Adam

Kokoro
Fri Male

Bella

Kokoro
Fri Female

Emma (British)

Kokoro
Fri Female

George (British)

Kokoro
Fri Male

Heart

Kokoro
Fri Female

Isabella (British)

Kokoro
Fri Female

Lewis (British)

Kokoro
Fri Male

Michael

Kokoro
Fri Male

Nicole

Kokoro
Fri Female

Sarah

Kokoro
Fri Female

Sky

Kokoro
Fri Female

English British

MeloTTS
Fri Female

English US

MeloTTS
Fri Female

Default

Ming-Omni TTS
Fri Neutral

Default

MOSS-TTS Nano
Standard Neutral

Default Speaker

MOSS-TTSD
Standard Neutral

Default

OpenVoice
Præmie Neutral

Dan

Orpheus
Standard Male

Jess

Orpheus
Standard Female

Leah

Orpheus
Standard Female

Leo

Orpheus
Standard Male

Mia

Orpheus
Standard Female

Tara

Orpheus
Standard Female

Zac

Orpheus
Standard Male

Zoe

Orpheus
Standard Female

Female 1 (Neutral)

OuteTTS
Fri Female

Default

Parler TTS
Standard Neutral

Alan (UK)

Piper
Fri Male

Alba (UK)

Piper
Fri Female

Amy (US)

Piper
Fri Female

Jenny (UK)

Piper
Fri Female

Joe (US)

Piper
Fri Male

Lessac (US)

Piper
Fri Male

Ryan (US)

Piper
Fri Male

Alba

Pocket TTS
Fri Female

Azelma

Pocket TTS
Fri Female

Cosette

Pocket TTS
Fri Female

Eponine

Pocket TTS
Fri Female

Fantine

Pocket TTS
Fri Female

Javert

Pocket TTS
Fri Male

Jean

Pocket TTS
Fri Male

Marius

Pocket TTS
Fri Male

Aiden

Qwen3 TTS
Standard Male

Dylan

Qwen3 TTS
Standard Male

Eric

Qwen3 TTS
Standard Male

Ryan

Qwen3 TTS
Standard Male

Serena

Qwen3 TTS
Standard Female

Vivian

Qwen3 TTS
Standard Female

Speaker 0

Sesame CSM
Præmie Neutral

Speaker 1

Sesame CSM
Præmie Neutral

Default

Spark TTS
Standard Neutral

Default

StyleTTS 2
Præmie Neutral

Random

Tortoise TTS
Præmie Neutral

Speaker 1

VibeVoice
Standard Neutral

Speaker 2

VibeVoice
Standard Neutral

Speaker 3

VibeVoice
Standard Neutral

Speaker 4

VibeVoice
Standard Neutral

Default

VITS
Fri Neutral

Default

VoxCPM
Standard Neutral

Hvad folk bruger English tekst til tale 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 Tekst til tale 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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