English Text-zu-Sprooch

Turn English Text an natierlech Sprooch mat AI Stimmen ëmwandelen. 93 Stimmen. D'Lidd ass gratis ze downloaden an ass als MP3 oder WAV verfügbar.

Anmelden Limit fir 5. 000 Zeichen

Wrap your text in SSML tags for precise control:

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

Tags déi d'gewielt Modell verstinn - klickt fir eng an Ärem Text ze setzen wou se geschitt:

Dëse Modell liest einfache Text, sou datt Inline-Tags ignoréiert ginn. Fir Tag-baséiert Emotiounen, wielt e expressiven Modell wéi Orpheus oder Bark.

Eegen Aussproochen definéieren (Wuert = Aussprooch):

-12 +12
0.5x 2.0x
Free mat Piper, VITS, MeloTTS
Äert generéiert Audio wäert hei erscheinen. Wielt e Modell, gitt Text an a klickt op Generéieren.
Audio gouf erfollegräich generéiert
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Audio erofgelueden Lëscht vu lëtzebuergesche Schrëftsteller Link expires in 24h
Den Haaptuert ass Personnes. Kommerziell Lizenz vun $5/mo
Maacht dat Är eege Stëmm Klonen eng Stëmm an 30 Sekonnen
Liewe TTS.ai? Erzielt Är Frënn!

Iwwer English Text- op- Sprooch

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.

Sample — English

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

Natierlecher Numm
English
Lautsprecher
1.5 billion total speakers (about 380 million native)
Sproochen
West Germanic branch of Indo-European
Skript
Latin
Spuenesch
United States, United Kingdom, Canada, Australia, India, Nigeria, Ireland, New Zealand, South Africa

93 English Stimmen

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
Premium 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
Fräi Female

Bruno

Kitten TTS
Fräi Male

Hugo

Kitten TTS
Fräi Male

Jasper

Kitten TTS
Fräi Male

Kiki

Kitten TTS
Fräi Female
Fräi Male

Luna

Kitten TTS
Fräi Female

Rosie

Kitten TTS
Fräi Female

Adam

Kokoro
Fräi Male

Bella

Kokoro
Fräi Female

Emma (British)

Kokoro
Fräi Female

George (British)

Kokoro
Fräi Male

Heart

Kokoro
Fräi Female

Isabella (British)

Kokoro
Fräi Female

Lewis (British)

Kokoro
Fräi Male

Michael

Kokoro
Fräi Male

Nicole

Kokoro
Fräi Female

Sarah

Kokoro
Fräi Female

Sky

Kokoro
Fräi Female

English British

MeloTTS
Fräi Female

English US

MeloTTS
Fräi Female

Default

Ming-Omni TTS
Fräi Neutral

Default

MOSS-TTS Nano
Standard Neutral

Default Speaker

MOSS-TTSD
Standard Neutral

Default

OpenVoice
Premium 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
Fräi Female

Default

Parler TTS
Standard Neutral

Alan (UK)

Piper
Fräi Male

Alba (UK)

Piper
Fräi Female

Amy (US)

Piper
Fräi Female

Jenny (UK)

Piper
Fräi Female

Joe (US)

Piper
Fräi Male

Lessac (US)

Piper
Fräi Male

Ryan (US)

Piper
Fräi Male

Alba

Pocket TTS
Fräi Female

Azelma

Pocket TTS
Fräi Female

Cosette

Pocket TTS
Fräi Female

Eponine

Pocket TTS
Fräi Female

Fantine

Pocket TTS
Fräi Female

Javert

Pocket TTS
Fräi Male

Jean

Pocket TTS
Fräi Male

Marius

Pocket TTS
Fräi 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
Premium Neutral

Speaker 1

Sesame CSM
Premium Neutral

Default

Spark TTS
Standard Neutral

Default

StyleTTS 2
Premium Neutral

Random

Tortoise TTS
Premium Neutral

Speaker 1

VibeVoice
Standard Neutral

Speaker 2

VibeVoice
Standard Neutral

Speaker 3

VibeVoice
Standard Neutral

Speaker 4

VibeVoice
Standard Neutral

Default

VITS
Fräi Neutral

Default

VoxCPM
Standard Neutral

Wat Leit benotzen English Text zu Sprooch fir

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 zu Sprooch

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.

Sproochen