English Ñe'ẽnguéra.:

Ojejapo English Ñe'ẽnguérape ñeikumby natural-pe IA ñe'ẽnguéra rehe. 93 ñe'ẽ. Mba'eve'ỹre, ndojehechakuaái - ojeipe'a MP3 térã WAV-ramo.

Ojejapo 5000 caracter rehegua límite

Ojehaijey ñe'ẽnguéra etiquetas SSML-pe peteĩ control hekopete g̃uarã:

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

Etiquetas ohechakuaáva modelo ojeporavóva - tesãirã peteĩ peteĩva ñe'ẽnguérape, oĩhápe:

Ko modelo ohai texto ndahasyivéva, upévare umi etiqueta oĩva línea ryepýpe ndojehechakuaái. Umi emoción oñemopyendáva etiqueta-pe g̃uarã, oñemoambue peteĩ modelo expresivo-pe taha'e Orfeo térã Bark.

Oñemohenda ñe'ẽnguéra ojehechapyréva (tembiapo = ñe'ẽnguéra):

-12 +12
0.5x 2.0x
Libre Piper, VITS, MeloTTS ndive
Audio-kuéra oguenohẽva ojekuaauka ko'ápe. Oñeporavo peteĩ modelo, omoĩnge ñe'ẽ ha ohesa'ỹijo Generar.
Audio oñemoheñói porã
0:00
Oñeguenohẽ marandu myambue guive Oñeguenohẽ.srt Ko enlace hi'are 24 h rire
Nivel libre: jeiporu personal. Licencia comercial $5/ha'e rupi
Ehayhuetéva TTS.ai? He'i umi iñangirũpe!

Mba'épa English Ñe'ẽnguéra.:

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.

Techapyrã — English

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

Téra nativo
English
Ñembo'ehára
1.5 billion total speakers (about 380 million native)
Idioma aty
West Germanic branch of Indo-European
Script
Latin
Oñe'ẽ
United States, United Kingdom, Canada, Australia, India, Nigeria, Ireland, New Zealand, South Africa

93 English ñe'ẽ

English Female 1

Bark
Estándar Female

English Female 2

Bark
Estándar Female

English Female 3

Bark
Estándar Female

English Female 4

Bark
Estándar Female

English Male 1

Bark
Estándar Male

English Male 2

Bark
Estándar Male

English Male 3

Bark
Estándar Male

English Male 4

Bark
Estándar Male

English Male 5

Bark
Estándar Male

English Male 6

Bark
Estándar Male

English Female 1

Bark Small
Estándar Female

English Female 2

Bark Small
Estándar Female

English Male 1

Bark Small
Estándar Male

Default

Chatterbox
Premium Neutral
Estándar Neutral

English Female

CosyVoice 2
Estándar Female

English Male

CosyVoice 2
Estándar Male

English Female

CosyVoice3
Estándar Female

English Male

CosyVoice3
Estándar Male

Default

Darwin TTS
Estándar Neutral

Speaker 1

Dia TTS
Estándar Neutral

Speaker 2

Dia TTS
Estándar Neutral

English Default

GPT-SoVITS
Estándar Neutral

Default

IndexTTS-2
Estándar Neutral
Estándar Neutral

Default

Kani TTS 2
Estándar Neutral

Bella

Kitten TTS
Libre Female

Bruno

Kitten TTS
Libre Male

Hugo

Kitten TTS
Libre Male

Jasper

Kitten TTS
Libre Male

Kiki

Kitten TTS
Libre Female
Libre Male

Luna

Kitten TTS
Libre Female

Rosie

Kitten TTS
Libre Female

Adam

Kokoro
Libre Male

Bella

Kokoro
Libre Female

Emma (British)

Kokoro
Libre Female

George (British)

Kokoro
Libre Male

Heart

Kokoro
Libre Female

Isabella (British)

Kokoro
Libre Female

Lewis (British)

Kokoro
Libre Male

Michael

Kokoro
Libre Male

Nicole

Kokoro
Libre Female

Sarah

Kokoro
Libre Female

Sky

Kokoro
Libre Female

English British

MeloTTS
Libre Female

English US

MeloTTS
Libre Female

Default

Ming-Omni TTS
Libre Neutral

Default

MOSS-TTS Nano
Estándar Neutral

Default Speaker

MOSS-TTSD
Estándar Neutral

Default

OpenVoice
Premium Neutral

Dan

Orpheus
Estándar Male

Jess

Orpheus
Estándar Female

Leah

Orpheus
Estándar Female

Leo

Orpheus
Estándar Male

Mia

Orpheus
Estándar Female

Tara

Orpheus
Estándar Female

Zac

Orpheus
Estándar Male

Zoe

Orpheus
Estándar Female

Female 1 (Neutral)

OuteTTS
Libre Female

Default

Parler TTS
Estándar Neutral

Alan (UK)

Piper
Libre Male

Alba (UK)

Piper
Libre Female

Amy (US)

Piper
Libre Female

Jenny (UK)

Piper
Libre Female

Joe (US)

Piper
Libre Male

Lessac (US)

Piper
Libre Male

Ryan (US)

Piper
Libre Male

Alba

Pocket TTS
Libre Female

Azelma

Pocket TTS
Libre Female

Cosette

Pocket TTS
Libre Female

Eponine

Pocket TTS
Libre Female

Fantine

Pocket TTS
Libre Female

Javert

Pocket TTS
Libre Male

Jean

Pocket TTS
Libre Male

Marius

Pocket TTS
Libre Male

Aiden

Qwen3 TTS
Estándar Male

Dylan

Qwen3 TTS
Estándar Male

Eric

Qwen3 TTS
Estándar Male

Ryan

Qwen3 TTS
Estándar Male

Serena

Qwen3 TTS
Estándar Female

Vivian

Qwen3 TTS
Estándar Female

Speaker 0

Sesame CSM
Premium Neutral

Speaker 1

Sesame CSM
Premium Neutral

Default

Spark TTS
Estándar Neutral

Default

StyleTTS 2
Premium Neutral

Random

Tortoise TTS
Premium Neutral

Speaker 1

VibeVoice
Estándar Neutral

Speaker 2

VibeVoice
Estándar Neutral

Speaker 3

VibeVoice
Estándar Neutral

Speaker 4

VibeVoice
Estándar Neutral

Default

VITS
Libre Neutral

Default

VoxCPM
Estándar Neutral

Ojeporu va'ekue tapichakuéra English Ñe'ẽnguéra ñemoambue

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 Ñe'ẽjoaju ñeikumbyrã - Pregunta ojejapóva

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.

Ñe'ẽjoaju