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ElevenLabs TTS Turbo v2.5

All text to speech models

Generate high-speed text-to-speech audio using ElevenLabs TTS Turbo v2.5.

Inference$ Commercial useFrom 1 credit per run

About ElevenLabs TTS Turbo v2.5

Generate high-speed text-to-speech audio using ElevenLabs TTS Turbo v2.5.

audio

Pricing

A run with the default settings costs 1 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

texttextarearequired

The text to convert to speech

enable_safety_checkerbooleandefault: true

Check input content for safety. Disabling requires account authorization.

voicetextdefault: "Rachel"

The voice to use for speech generation

stabilitynumberdefault: 0.5

Voice stability (0-1)

similarity_boostnumberdefault: 0.75

Similarity boost (0-1)

stylenumberdefault: 0

Style exaggeration (0-1)

speednumberdefault: 1

Speech speed (0.7-1.2). Values below 1.0 slow down the speech, above 1.0 speed it up. Extreme values may affect quality.

timestampsbooleandefault: false

Whether to return timestamps for each word in the generated speech

previous_texttextarea

The text that came before the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation.

next_texttextarea

The text that comes after the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation.

language_codetext

Language code (ISO 639-1) used to enforce a language for the model. An error will be returned if language code is not supported by the model.

apply_text_normalizationselectdefault: "auto"

This parameter controls text normalization with three modes: 'auto', 'on', and 'off'. When set to 'auto', the system will automatically decide whether to apply text normalization (e.g., spelling out numbers). With 'on', text normalization will always be applied, while with 'off', it will be skipped.

Options: auto, on, off

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