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115 Regional Talents
Zero Accounts Required

United States Accent Voice Generator.

Generate realistic speech with authentic United States regional cadences and cultural inflections using 115 dedicated neural voices.

Synthesize With United States Accent.

Experience natural local rhythm and regional tone using voice Ana.

Templates:
167 / 2,000
Pitch Modulation β€’ Pacing / Speed β€’ Volume Gain
Output Format:
Sample Rate:
Phonology & Prosody

United States Regional Dialect & Acoustic Profile

Capturing the authentic national cadence, phonetics, and speech patterns of United States.

National Prosody

Voice production for audiences in United States demands accurate regional dialect representation. Listeners immediately detect foreign accents or artificial intonations that do not reflect local linguistic norms. OpenTTS models the specific vowel shifts, consonantal inflections, and conversational cadence characteristic of United States.

Accent Realism

Vocal intonations reflect contemporary media standards in United States, providing realistic prosody that sounds native to regional radio, television, and digital platforms.

Phonetic Clarity

Clear phonemic articulation ensures complete listener comprehension, even when audio is played back through noisy mobile environments or car stereos.

Broadcasting Standards

United States Media & Localization Guidelines

Audio engineering best practices for domestic broadcasting and digital content.

In United States, high-fidelity voiceover is integral to educational media, local advertising, audiobooks, and corporate communications.

Target Loudness: : Master audio to -14 LUFS for streaming platforms and ensure dialogue sits 3 to 6 dB above background instrumental beds.
Localization Insight: : When localizing global content for United States, tailor terminology, currency references, and idioms to local conventions for maximum resonance.
Voice Categories

Voice Talents for United States

Selection of 115 neural talents representing United States.

Narrative & Long-Form

Resonant, articulate narrative voices ideal for audiobooks, educational modules, and corporate documentaries.

Commercial & Video

Dynamic, energetic talents calibrated for digital advertising, YouTube shorts, and radio commercials.

Conversational & E-Learning

Friendly, natural voices designed for customer service bots, interactive voice response (IVR), and podcasts.

Engineering Specs

Acoustic Specifications

Sampling FrequencyBitrate / DepthContainers SupportedZero-Buffer Latency
24,000 Hz Neural Output (Master export in 44.1kHz / 48kHz WAV)16-bit Linear PCM UncompressedMP3, WAV, OGG, AAC, FLAC< 1ms from Tier 1 RAM LRU Cache

United States Voices Lineup (115)

Browse full catalog β†’
A

Ana

English β€’ United States

Female
A

Andrew Multilingual

Multilingual β€’ United States

Male
A

Andrew

English β€’ United States

Male
A

Aria

English β€’ United States

Female
A

Ava Multilingual

Multilingual β€’ United States

Female
A

Ava

English β€’ United States

Female
B

Brian Multilingual

Multilingual β€’ United States

Male
B

Brian

English β€’ United States

Male
C

Christopher

English β€’ United States

Male
E

Emma Multilingual

Multilingual β€’ United States

Female
E

Emma

English β€’ United States

Female
E

Eric

English β€’ United States

Male
G

Guy

English β€’ United States

Male
J

Jenny

English β€’ United States

Female
M

Michelle

English β€’ United States

Female
R

Roger

English β€’ United States

Male
S

Steffan

English β€’ United States

Male
A

Alonso

Spanish β€’ United States

Male
P

Paloma

Spanish β€’ United States

Female
A

Andrew Spanish

Spanish β€’ United States

Male
A

Ava Spanish

Spanish β€’ United States

Female
B

Brian Spanish

Spanish β€’ United States

Male
E

Emma Spanish

Spanish β€’ United States

Female
A

Andrew French

French β€’ United States

Male
A

Ava French

French β€’ United States

Female
B

Brian French

French β€’ United States

Male
E

Emma French

French β€’ United States

Female
A

Andrew German

German β€’ United States

Male
A

Ava German

German β€’ United States

Female
B

Brian German

German β€’ United States

Male
E

Emma German

German β€’ United States

Female
A

Andrew Italian

Italian β€’ United States

Male
A

Ava Italian

Italian β€’ United States

Female
B

Brian Italian

Italian β€’ United States

Male
E

Emma Italian

Italian β€’ United States

Female
A

Andrew Portuguese

Portuguese β€’ United States

Male
A

Ava Portuguese

Portuguese β€’ United States

Female
B

Brian Portuguese

Portuguese β€’ United States

Male
E

Emma Portuguese

Portuguese β€’ United States

Female
A

Andrew Korean

Korean β€’ United States

Male
A

Ava Korean

Korean β€’ United States

Female
B

Brian Korean

Korean β€’ United States

Male
E

Emma Korean

Korean β€’ United States

Female
A

Andrew Chinese

Chinese β€’ United States

Male
A

Ava Chinese

Chinese β€’ United States

Female
B

Brian Chinese

Chinese β€’ United States

Male
E

Emma Chinese

Chinese β€’ United States

Female
A

Andrew Japanese

Japanese β€’ United States

Male
A

Ava Japanese

Japanese β€’ United States

Female
B

Brian Japanese

Japanese β€’ United States

Male
E

Emma Japanese

Japanese β€’ United States

Female
A

Andrew Arabic

Arabic β€’ United States

Male
A

Ava Arabic

Arabic β€’ United States

Female
B

Brian Arabic

Arabic β€’ United States

Male
E

Emma Arabic

Arabic β€’ United States

Female
A

Andrew Hindi

Hindi β€’ United States

Male
A

Ava Hindi

Hindi β€’ United States

Female
B

Brian Hindi

Hindi β€’ United States

Male
E

Emma Hindi

Hindi β€’ United States

Female
A

Andrew Russian

Russian β€’ United States

Male
A

Ava Russian

Russian β€’ United States

Female
B

Brian Russian

Russian β€’ United States

Male
E

Emma Russian

Russian β€’ United States

Female
A

Andrew Dutch

Dutch β€’ United States

Male
A

Ava Dutch

Dutch β€’ United States

Female
B

Brian Dutch

Dutch β€’ United States

Male
E

Emma Dutch

Dutch β€’ United States

Female
A

Andrew Swedish

Swedish β€’ United States

Male
A

Ava Swedish

Swedish β€’ United States

Female
B

Brian Swedish

Swedish β€’ United States

Male
E

Emma Swedish

Swedish β€’ United States

Female
A

Andrew Norwegian

Norwegian β€’ United States

Male
A

Ava Norwegian

Norwegian β€’ United States

Female
B

Brian Norwegian

Norwegian β€’ United States

Male
E

Emma Norwegian

Norwegian β€’ United States

Female
A

Andrew Danish

Danish β€’ United States

Male
A

Ava Danish

Danish β€’ United States

Female
B

Brian Danish

Danish β€’ United States

Male
E

Emma Danish

Danish β€’ United States

Female
A

Andrew Turkish

Turkish β€’ United States

Male
A

Ava Turkish

Turkish β€’ United States

Female
B

Brian Turkish

Turkish β€’ United States

Male
E

Emma Turkish

Turkish β€’ United States

Female
A

Andrew Polish

Polish β€’ United States

Male
A

Ava Polish

Polish β€’ United States

Female
B

Brian Polish

Polish β€’ United States

Male
E

Emma Polish

Polish β€’ United States

Female
A

Andrew Romanian

Romanian β€’ United States

Male
A

Ava Romanian

Romanian β€’ United States

Female
B

Brian Romanian

Romanian β€’ United States

Male
E

Emma Romanian

Romanian β€’ United States

Female
A

Andrew Hungarian

Hungarian β€’ United States

Male
A

Ava Hungarian

Hungarian β€’ United States

Female
B

Brian Hungarian

Hungarian β€’ United States

Male
E

Emma Hungarian

Hungarian β€’ United States

Female
A

Andrew Greek

Greek β€’ United States

Male
A

Ava Greek

Greek β€’ United States

Female
B

Brian Greek

Greek β€’ United States

Male
E

Emma Greek

Greek β€’ United States

Female
A

Andrew Indonesian

Indonesian β€’ United States

Male
A

Ava Indonesian

Indonesian β€’ United States

Female
B

Brian Indonesian

Indonesian β€’ United States

Male
E

Emma Indonesian

Indonesian β€’ United States

Female
A

Andrew Urdu

Urdu β€’ United States

Male
A

Ava Urdu

Urdu β€’ United States

Female
B

Brian Urdu

Urdu β€’ United States

Male
E

Emma Urdu

Urdu β€’ United States

Female
A

Andrew Filipino

Filipino β€’ United States

Male
A

Ava Filipino

Filipino β€’ United States

Female
B

Brian Filipino

Filipino β€’ United States

Male
E

Emma Filipino

Filipino β€’ United States

Female
A

Andrew Mexican

Mexican β€’ United States

Male
A

Ava Mexican

Mexican β€’ United States

Female
B

Brian Mexican

Mexican β€’ United States

Male
E

Emma Mexican

Mexican β€’ United States

Female

United States Voice Generation Frequently Asked Questions

Guidance on regional accents, licensing, and audio export.

OpenTTS provides 115 distinct neural voices specifically tailored to the linguistic standards and regional accents of United States.

Yes! All audio generated on OpenTTS is 100% royalty-free and cleared for commercial broadcast, monetized videos, podcasts, and digital products.

Yes. Our neural synthesis models are trained on high-quality recordings from native speakers, capturing authentic regional accent nuances, pitch inflections, and cadence.

Yes. Uncompressed 16-bit Linear PCM WAV (24kHz / 48kHz) downloads are completely free and available instantly without sign-up.

No character caps or monthly quotas exist. You can generate unlimited audio within fair-use rate limits (30 requests/minute per IP).

Our deterministic two-tier caching architecture serves pre-rendered audio directly from system RAM in under 1 millisecond, allowing instant soundboard auditioning.