's high-definition text-to-speech model with natural pronunciation and clear articulation.
minimax-speech-28API keys come with the Scale and Ultra plans

The smallest request that works: the required fields only.
curl https://api.percify.io/v3/playground/v1/run \
-H "Authorization: Bearer $PERCIFY_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"modelId": "minimax-speech-28",
"input": {
"text": "Hello from the Percify API.",
"voice_id": "A red fox running through fresh snow at sunrise"
}
}'13 fields in input, required first.
textRequiredText to convert to speech. Every character is 1 token. Maximum 10000 characters. Use <#x#> between words to control pause duration (0.01-99.99s).
voice_idRequiredDesired voice ID. Use a voice ID you have trained ( or one of the following system voice IDs: Wise_Woman, Friendly_Person, Inspirational_girl, Deep_Voice_Man, Calm_Woman, Casual_Guy, Lively_G
pitchOptionalSpeech pitch. Range: -12 to 12, where 0 is normal pitch.
speedOptionalSpeech speed. Range: 0.5-2.0, where 1.0 is normal speed.
formatOptionalFormat of generated sound.
volumeOptionalSpeech volume. Range: 0.1-10.0, where 1.0 is normal volume.
bitrateOptionalBitrate of generated sound.
channelOptionalThe number of channels of the generated audio. 1: mono, 2: stereo.
emotionOptionalThe emotion of the generated speech.
sample_rateOptionalSample rate of generated sound.
language_boostOptionalEnhance the ability to recognize specified languages and dialects.
pronunciation_dictOptionalNatural speech with expressive delivery.
$0.125The fastest open source TTS model without sacrificing quality.
$0.125Text-to-Audio (T2A) that offers voice synthesis, emotional expression, and multilingual capabilities.
$0.125Text-to-Audio (T2A) that offers voice synthesis, emotional expression, and multilingual capabilities.

Pick a use case, run it in the playground, copy the call.
API keys come with the Scale and Ultra plans
Format: Alias/Pronunciation, e.g. Omg/Oh my god
english_normalizationOptionalThis parameter supports English text normalization, which improves performance in number-reading scenarios.