# ElevenLabs Turbo v2.5 fast text to speech

Needs text. Served by fal.ai.

ElevenLabs Turbo v2.5, fast text to speech, served by fal.ai. The OpenAPI schema for the fal-ai/elevenlabs/tts/turbo-v2.5 queue. Price: $0.05 per 1,000 characters of text, pro rata. Waits up to 40 s for the result; if the generation takes longer, the run stays RUNNING and returns a request_id; poll fal/status and fetch fal/result with model "fal-ai/elevenlabs" and that request_id. Billed once, when the result is ready; a generation that fails is refunded.

- Tool ID: `fal/elevenlabs-tts-turbo-v2-5`
- Name in the catalog: ElevenLabs Turbo v2.5, fast text to speech
- Provider: [fal.ai](/providers/fal.md)
- Capability: [Text to speech (ElevenLabs)](/tools/audio-generation/text-to-speech.md)
- Price: $0.05 per 1,000 characters
- Authentication: an authorised Agentik workspace is required for execution, including zero-price tools.

## Pricing contract

The provider’s price, with no markup. Billed for measured usage.


```json
{
  "model": "per_unit",
  "amountUsd": 0.05,
  "unitsField": "text",
  "unitsMeasure": "chars",
  "unitsPer": 1000,
  "fractional": true,
  "unitsDefault": 1,
  "maxUnits": 50
}
```

Pricing source: [https://fal.ai/models/fal-ai/elevenlabs/tts/turbo-v2.5](https://fal.ai/models/fal-ai/elevenlabs/tts/turbo-v2.5). $0.05 per 1,000 characters of text, pro rata..

Price verification date: 2026-10-08.

## Complete input schema


```json
{
  "type": "object",
  "properties": {
    "next_text": {
      "type": "string",
      "title": "Next Text",
      "description": "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."
    },
    "apply_text_normalization": {
      "type": "string",
      "title": "Apply Text Normalization",
      "description": "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.",
      "enum": [
        "auto",
        "on",
        "off"
      ],
      "default": "auto"
    },
    "text": {
      "type": "string",
      "description": "The text to convert to speech",
      "minLength": 1,
      "title": "Text"
    },
    "timestamps": {
      "type": "boolean",
      "title": "Timestamps",
      "description": "Whether to return timestamps for each word in the generated speech",
      "default": false
    },
    "style": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Style exaggeration (0-1)",
      "default": 0,
      "title": "Style"
    },
    "similarity_boost": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Similarity boost (0-1)",
      "default": 0.75,
      "title": "Similarity Boost"
    },
    "previous_text": {
      "type": "string",
      "title": "Previous Text",
      "description": "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."
    },
    "speed": {
      "type": "number",
      "maximum": 1.2,
      "minimum": 0.7,
      "description": "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.",
      "default": 1,
      "title": "Speed"
    },
    "voice": {
      "type": "string",
      "description": "The voice to use for speech generation",
      "title": "Voice",
      "default": "Rachel"
    },
    "language_code": {
      "type": "string",
      "title": "Language Code",
      "description": "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."
    },
    "stability": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Voice stability (0-1)",
      "default": 0.5,
      "title": "Stability"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}
```

## Published example

This is the provider tool’s published example. Replace example values with the user’s requested inputs, respecting the schema; do not execute an example merely to test a connection.


```json
{
  "tool_id": "fal/elevenlabs-tts-turbo-v2-5",
  "input": {
    "text": "Hello from Agentik, this is a short health check."
  }
}
```

## Execute and retrieve

Inspect again before execution, explain the price and obtain the required authority. Use MCP run_tool or POST /v1/run with this tool ID, valid input and an idempotency key. Save the returned run ID and follow the actual state. If Agentik answers that the tool is temporarily unavailable, do not retry it blindly; use discovery to propose an alternative.

This tool uses deferred settlement. Follow its returned task/run instructions; preserve the existing reservation until the result is reconciled.

A partial or uncertain result can still have consumed provider resources. Consult [billing](/docs/billing.md), [idempotency](/docs/idempotency.md) and [asynchronous results](/docs/async.md).

[Provider documentation](https://fal.ai/models/fal-ai/elevenlabs/tts/turbo-v2.5)

[REST inspection](https://api.agentik.cc/v1/tools/fal/elevenlabs-tts-turbo-v2-5) · [OpenAPI](/openapi.json) · [Connection guide](/connect.md)

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