text_to_dialogue_full_with_timestamps
Converts multi-voice dialogue text into a single timestamped audio file via ElevenLabs, letting you align subtitles or edit recordings by exact cue time.
Instructions
Text To Dialogue With Timestamps Spends ElevenLabs credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | ||
| inputs | Yes | A list of dialogue inputs, each containing text and a voice ID which will be converted into speech. The maximum number of unique voice IDs is 10. For reliable generation, keep the total character count across all `inputs[].text` values at or below 2,000 characters per request. Longer requests can te | |
| model_id | No | Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for text to speech, you can check this using the can_do_text_to_speech property. | |
| settings | No | ||
| language_code | No | ||
| output_format | No | Output format of the generated audio. Formatted as codec_sample_rate_bitrate. So an mp3 with 22.05kHz sample rate at 32kbs is represented as mp3_22050_32. MP3 with 192kbps bitrate requires you to be subscribed to Creator tier or above. PCM and WAV formats with 44.1kHz sample rate requires you to be | |
| enable_logging | No | When enable_logging is set to false zero retention mode will be used for the request. This will mean history features are unavailable for this request, including request stitching. Zero retention mode may only be used by enterprise customers. | |
| apply_text_normalization | No | 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. | |
| pronunciation_dictionary_locators | No |