> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gradium.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# July 2026

> Gradium releases from July 2026

<Update label="2026.07.30" description="Gradium TTS public beta">
  A new Gradium Text-to-Speech model is available in public beta. It handles complex text natively, with no pre-processing or normalization on your side: phone numbers in national and international formats, email addresses, IBAN numbers, time expressions, reference codes, measurements, URLs and ordinals.

  The beta is available through the API and in Gradium Studio. To use it from the API, set `model_name` to `gradium-tts-beta` in your setup message, over both the SDK and the WebSocket API. Your existing voices, including custom voices, work as-is. On the API the current production model remains the default, so nothing changes unless you opt in.

  See [Installation](/guides/installation) and the [TTS WebSocket setup](/api-reference/endpoint/tts-websocket#setup) to get started. Everyone who sends feedback during the beta receives 1M Gradium credits.
</Update>

<Update label="2026.07.28" description="New Speech-to-Text model">
  A new Speech-to-Text model is now live on the standard endpoint. Transcription is more robust on low volume audio, so soft speakers and far field microphones are recognised with improved reliability. Endpointing is more reactive, so the end of an utterance is detected sooner and voice agents can start responding with less delay.

  See [Turn-Taking](/guides/recipes/turn-taking) for using semantic VAD signals to decide when a speaker has finished.
</Update>

<Update label="2026.07.22" description="Keyword Boosting for Speech-to-Text">
  Get the vocabulary specific to your product transcribed correctly: brand and product names, people, places, drugs, and jargon. Pass a dictionary of the terms you care about in your STT `json_config`, and the model gives them priority while decoding, in real time, with no retraining. Rare, specific words that a general model rarely sees now come through correctly.

  The `keywords` block takes a `words` dictionary and a `boost` weight. `boost` is applied in log-probability space, so its effect is exponential and a small value goes a long way. We recommend a boost of `3`. A dictionary holds up to 500 single-token entries, matched by exact case and accent.

  Dictionaries can also be saved in Gradium Studio under Vocabulary, in the Keyword boost tab, then used in a session by passing their id as `keyword_boost_id`.

  See the [Keyword Boosting recipe](/guides/recipes/keyword-boosting) and [Transcription Settings](/guides/transcription-settings) for details.
</Update>