falText to audioComing soon

fal-ai/elevenlabs/tts/multilingual-v2

Name: fal-ai/elevenlabs/tts/multilingual-v2
Brand: fal

fal-ai/elevenlabs/tts/multilingual-v2 is a text to audio tool from fal that runs in the background and returns audio. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Priced by usage

Pricing

$0.13 per 1,000 characters of text. The final charge comes from usage.

Limits

Runs: In the background
Returns: audio
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`text` required	text	—	The text to convert to speech
`voice`	text	Rachel	The voice to use for speech generation
`stability`	number 0 to 1	0.5	Voice stability (0-1)
`similarity_boost`	number 0 to 1	0.75	Similarity boost (0-1)
`style`	number 0 to 1	0	Style exaggeration (0-1)
`speed`	number 0.7 to 1.2	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.
`timestamps`	true or false	false	Whether to return timestamps for each word in the generated speech
`previous_text`	text	—	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_text`	text	—	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_code`	text	—	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_normalization`	one of auto, on, off	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.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "fal",
    "model": "fal-ai/elevenlabs/tts/multilingual-v2",
    "input": {
      "text": "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?"
    }
  }'