elevenlabs/turbo-v2.5

Name: Turbo V2.5
Author: ElevenLabs

Turbo V2.5 by ElevenLabs - convert text to natural-sounding speech with AI. Supports multiple voices, languages, emotions, and speaking styles for content creation and accessibility.

Input

Text(string)

The text to convert to speech

Voice(string)

The voice to use for speech generation

Language Code(string)

Language code (ISO 639-1) used to enforce a language for the model. Allowed values: , en, ja, zh, de, hi, fr, ko, pt, it, es, id, nl, tr, fil, pl, sv, bg, ro, ar, cs, el, fi, hr, ms, sk, da, ta, uk, ru, hu, no, vi.

Stability(number)

Voice stability (0-1) Range: 0 to 1.

Speed(number)

0.71.2

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. Range: 0.7 to 1.2.

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDelevenlabs/turbo-v2.5

Input Schema

5 parameters · 0 required · 5 optional

Parameter	Type	Required	Description
`text`	string	Optional	The text to convert to speech · Min length: 1
`speed`	number	Optional	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. · Min: 0.7 · Max: 1.2 · Default: 1
`voice`	string	Optional	The voice to use for speech generation · Default: "Rachel"
`stability`	number	Optional	Voice stability (0-1) · Min: 0 · Max: 1 · Default: 0.5
`language_code`	string	Optional	Language code (ISO 639-1) used to enforce a language for the model. · Options: , en, ja, zh, de, hi, fr, ko, pt, it, es, id, nl, tr, fil, pl, sv, bg, ro, ar, cs, el, fi, hr, ms, sk, da, ta, uk, ru, hu, no, vi enjazhdehifrkoptitesidnltrfilplsvbgroarcselfihrmsskdataukruhunovi

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "elevenlabs/turbo-v2.5",
  "text": "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?",
  "speed": 1,
  "voice": "Aria",
  "stability": 0.5,
  "prompt": "a beautiful sunset over mountains"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to Turbo V2.5

API README

Turbo V2.5

elevenlabs/turbo-v2.5 generates natural speech with a speed-oriented architecture intended for interactive products, agents, games, and other experiences where response latency matters. Turbo V2.5 balances fast synthesis with multilingual delivery and a recognizable selected voice, allowing spoken responses to arrive promptly without falling back to flat system speech. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.

For production work, It is strongest for short and medium utterances in conversational flows, where repeated low-latency calls matter more than the maximal long-form expressiveness of a narration-focused model. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.

Highlights

Low-latency synthesis supports responsive agents and interactive experiences.

Natural voice rendering avoids the mechanical cadence of basic real-time speech.

Multilingual speech covers conversational products serving different languages.

Voice identity preservation keeps an application's selected speaker recognizable.

Pricing

Text allowance	Price
Each started 1,000 characters	$0.050

When to Use

✅ Good fit	❌ Consider alternatives
The model's named workflow matches the source material and intended output	A different input modality or model route is required
A managed asynchronous result is suitable for the production pipeline	A synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or format	The project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structure	Exact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverable	Editable source layers or a native project file are required

Prompt Guide

For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.

{
  "text": "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?"
}

Technical Specs

Spec	Value
Model ID	`elevenlabs/turbo-v2.5`
Inputs	language_code, speed, stability, text, voice
Required inputs	None
Output fields	content_type, url
Execution	Async (submit, then poll for result)