Eleven Turbo V2.5 IVC
Neural Network
Eleven Turbo V2.5 IVC is an ElevenLabs speech synthesis model for low-latency voiceovers with support for 32 languages.
Specifications
- Input
- audio
- Output
- audio
Prompt cost
(per 1M tokens)
How it works Eleven Turbo V2.5 IVC?
Eleven Turbo V2.5 IVC is an ElevenLabs speech synthesis model designed for low latency and high sound quality. It supports 32 languages, and the IVC variant is designed for working with custom voices, making it the choice where response speed is as important as natural speech. In BotHub, you can connect to it from Russia without a VPN or foreign card, pay with Russian cards in rubles, and pay only for actual usage. A unified OpenAI-compatible API allows you to trigger voiceovers directly from your code and switch to another model if needed without rewriting the integration, while data is protected by AES-GCM encryption; companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Use cases: voice assistants and phone scenarios where response pauses are immediately noticeable; voiceovers for courses and instructions; audio versions of articles and newsletters; character lines in games and apps; multilingual versions of a script without studio recording.Frequently asked questions about Eleven Turbo V2.5 IVC
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.
Eleven Turbo v2.5 is an ElevenLabs voice model: it takes audio as input and outputs audio. It is used for voiceovers, voice replacement in pre-recorded speech, and quickly preparing lines for videos, podcasts, games, and voice interfaces.
It does not write text: the result is an audio track, not paragraphs. According to our data, up to 40,000 tokens of context and the same amount on output are available, so it is more convenient to break long material into fragments and splice them together during editing.
A separate step-by-step reasoning mode is not noted in our data, and it is not really needed for voice synthesis: the Turbo line is built for low latency. If you need analysis or a script, prepare it with a text model in BotHub, and send the voiceover here.
Function calling and structured output are not noted for this model in our data — it responds with audio. However, you can access it via the unified OpenAI-compatible BotHub API, and assemble schemas and JSON on the text model side using the same key.
Audio — yes, that is its main input: you provide a recording and get a voiced result. Acceptance of images and video is not noted in our data, so do not rely on it. For images and videos, BotHub has separate models in the same window.
The voiceover language is not specified in our data, so we will not make specific promises — it is easier to test with a short fragment of your own recording. Access to the model works from Russia without a VPN or foreign card, and payment is in rubles based on actual token usage.