You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.

This is a Google model that converts text to audio: voiceovers for videos, podcasts, educational materials, and voice responses in applications. In addition to audio, it responds with text, can reason before answering, and call functions, and it also accepts images and documents as input.

Specific audio formats, bitrates, and the set of voices are not specified in our data, so we will not promise them. However, something else is known: a context of 65,536 tokens and up to 32,000 tokens per response — the model can easily voice a long script or article without cutting it into parts.

Yes, reasoning before answering is confirmed by our data. The model can break down a task step-by-step before providing a result: this is useful when you need to mark up a long text for voiceover, set accents, or rewrite a draft first and then voice it.

Yes, both. The model supports function calling and structured JSON output, making it easy to integrate into pipelines: the service receives a predictable response of the required structure and then triggers your tools. In BotHub, this works via a unified OpenAI-compatible API.

Images and documents — yes, this is stated in our data: you can provide an image or file and ask it to voice or summarize the content. There is no note about audio and video input, so we do not promise it in advance — check it with your own example in the chat.

We do not have specific data on the quality of Russian for this model, so we will not evaluate it — it is faster to check it yourself with your own text. But access is definitely without difficulties: BotHub interface and Telegram bot, payment with Russian cards, without VPN or a foreign card.