Warm Voices

Warm Voices

There is no tone field in the catalog, so these were chosen by listening rather than filtered. Warmth is a property of the voice, not a setting, which makes casting the decision that counts.

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warm ai voices
ReevaVerified
Indian · Female · Young
India flagHindi
Use voice
JoannaVerified
Polish · Female · Young
Polish
Use voice
KevalVerified
Indian · Male · Young
India flagHindi
Use voice
SambitVerified
Indian · Male · Young
India flagHindi
Use voice
NilaVerified
Indian · Female · Young
India flagHindi
Use voice
MikaVerified
Finnish · Male · Young
Finland flagFinnish
Use voice
ReevaVerified
Indian · Female · Young
India flagHindi
Use voice
JoannaVerified
Polish · Female · Young
Polish
Use voice
KevalVerified
Indian · Male · Young
India flagHindi
Use voice
SambitVerified
Indian · Male · Young
India flagHindi
Use voice
NilaVerified
Indian · Female · Young
India flagHindi
Use voice
MikaVerified
Finnish · Male · Young
Finland flagFinnish
Use voice

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Narration is the one job where a voice has to hold up for hours rather than seconds. 163 of the 244 voices here carry the narration tag, the largest group in the catalog, across English, Hindi and nine other Indic languages.

1500+ voices to explore

Browse our full voice library and find the right tone, accent, and personality for your agent.

Model Specifications

Streaming transports

WebSocket, HTTP chunked transfer

WebSocket, HTTP chunked transfer

Output formats

.ulaw, .alaw, PCM 16-bit, .wav, .mp3

.ulaw, .alaw, PCM 16-bit, .wav, .mp3

Speed range

0.5× – 2.0×, set per request

0.5× – 2.0×, set per request

Sample rate

44.1 kHz native, resampled to 8 kHz for telephony

44.1 kHz native, resampled to 8 kHz for telephony

Latency

~200 ms to first byte (p50, warm region)

~200 ms to first byte (p50, warm region)

Warmth is not a field

The catalog has no tone attribute, so warmth cannot be filtered for and these voices were selected by ear. That is worth stating plainly rather than presenting an inferred list as a filtered one. Audition all six, since the differences between them are not documented anywhere.

Where warmth is usually wanted

Audiobooks, customer support and wellness content are the common contexts, and they pull in different directions. A voice that reads as warm in a support call may be too intimate for narration. Testing against your actual material matters more than a general judgment of tone.

It is a property, not a setting

There is no tone or emotion parameter, so a voice cannot be made warmer after generation. Casting is the decision. The only related control is speed, and slowing slightly below 1.0 tends to read as warmer, though it is a weaker lever than choosing a different voice.

Matching a voice you already use

If your brand already has a warm voice, cloning reproduces it directly rather than approximating it from the catalog. That is the only route to a specific tone, since nothing in the API adjusts toward one. Cloning requires consent from the person whose voice it is.

Popular voices

Frequently asked questions

There is no tone field in the catalog, so warmth cannot be filtered for and this set was chosen by ear. Aarushi and Aditi in Hindi, Bellatrix and Alec in English. Warmth is a property of the voice rather than a setting, so cloning is the only way to match a specific tone you already use.