English Text in die Rede

Drehen English Text in natürliche Sprache mit KI-Stimmen. 93 Stimmen. Kostenlos, ohne Anmeldung – als MP3 oder WAV herunterladen.

Melden Sie sich an für 5.000 Zeichen-Grenze

Verpacken Sie Ihren Text in SSML-Tags für eine präzise Kontrolle:

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

Tags, die das ausgewählte Modell versteht — klicken Sie, um einen in Ihren Text zu legen, wo es passiert:

Dieses Modell liest Text, so dass Inline-Tags ignoriert werden. Für tag-basierte Emotion, wechseln Sie zu einem ausdrucksstarken Modell wie Orpheus oder Bark.

Benutzerdefinierte Aussprachen definieren (Wort = Aussprache):

-12 +12
0.5x 2.0x
Frei mit Piper, VITS, MeloTTS
Hier erscheint Ihr generiertes Audio. Wählen Sie ein Modell, geben Sie Text ein und klicken Sie auf Generieren.
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Über English Text in die Rede

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.

Stichprobe — English

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

Einheimischer Name
English
Redner
1.5 billion total speakers (about 380 million native)
Sprachfamilie
West Germanic branch of Indo-European
Skript
Latin
Gesprochen
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
Prämie 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
Frei Female

Bruno

Kitten TTS
Frei Male

Hugo

Kitten TTS
Frei Male

Jasper

Kitten TTS
Frei Male

Kiki

Kitten TTS
Frei Female
Frei Male

Luna

Kitten TTS
Frei Female

Rosie

Kitten TTS
Frei Female

Adam

Kokoro
Frei Male

Bella

Kokoro
Frei Female

Emma (British)

Kokoro
Frei Female

George (British)

Kokoro
Frei Male

Heart

Kokoro
Frei Female

Isabella (British)

Kokoro
Frei Female

Lewis (British)

Kokoro
Frei Male

Michael

Kokoro
Frei Male

Nicole

Kokoro
Frei Female

Sarah

Kokoro
Frei Female

Sky

Kokoro
Frei Female

English British

MeloTTS
Frei Female

English US

MeloTTS
Frei Female

Default

Ming-Omni TTS
Frei Neutral

Default

MOSS-TTS Nano
Standard Neutral

Default Speaker

MOSS-TTSD
Standard Neutral

Default

OpenVoice
Prämie 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
Frei Female

Default

Parler TTS
Standard Neutral

Alan (UK)

Piper
Frei Male

Alba (UK)

Piper
Frei Female

Amy (US)

Piper
Frei Female

Jenny (UK)

Piper
Frei Female

Joe (US)

Piper
Frei Male

Lessac (US)

Piper
Frei Male

Ryan (US)

Piper
Frei Male

Alba

Pocket TTS
Frei Female

Azelma

Pocket TTS
Frei Female

Cosette

Pocket TTS
Frei Female

Eponine

Pocket TTS
Frei Female

Fantine

Pocket TTS
Frei Female

Javert

Pocket TTS
Frei Male

Jean

Pocket TTS
Frei Male

Marius

Pocket TTS
Frei 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
Prämie Neutral

Speaker 1

Sesame CSM
Prämie Neutral

Default

Spark TTS
Standard Neutral

Default

StyleTTS 2
Prämie Neutral

Random

Tortoise TTS
Prämie Neutral

Speaker 1

VibeVoice
Standard Neutral

Speaker 2

VibeVoice
Standard Neutral

Speaker 3

VibeVoice
Standard Neutral

Speaker 4

VibeVoice
Standard Neutral

Default

VITS
Frei Neutral

Default

VoxCPM
Standard Neutral

Was die Menschen benutzen English Text zu Rede für

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 in die Rede — 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.

Verwandte Sprachen