AnveVoice

About AnveVoice

AnveVoice provides a voice AI agent that can be embedded on a website with a single line of JavaScript. Beyond answering visitor questions, it takes actions on the page itself: scrolling, navigating between pages, filling and submitting forms, and completing tasks such as bookings or checkouts, guided by natural speech in over 50 languages. The agent is trained on the site's own content, pages, docs, and policies, and the vendor reports a median response latency of 487ms. Installation works via a script tag without an SDK or build step, on platforms including WordPress, Shopify, Wix, Webflow, React, Next.js, Vue, and Squarespace.

The product targets businesses and developers who want to add conversational, task-completing voice interaction to a website rather than a traditional text chatbot, with demo use cases spanning healthcare, education, e-commerce, public services, accessibility, and support. A dashboard provides analytics on sessions, messages, conversation duration, completion rates, and token usage.

The platform is also released as source-available software (AnveVoice OSS) under the Business Source License 1.1, which converts to Apache 2.0 on 2030-07-06; it can be self-hosted via Docker and Compose, including a fully offline profile, with a provider-agnostic design supporting Gemini Live, OpenAI Realtime, or a custom STT-LLM-TTS pipeline. Pricing includes a free plan (50K tokens/month, ~60 conversations, 1 voice agent), a Growth plan at $39/mo (2M tokens/month, up to 10 agents, white-label widget), and a Scale plan at $129/mo (8M tokens/month, voice cloning, priority support and analytics).

Key features

• Real-time voice agent that navigates pages, fills forms, and completes tasks (bookings, checkout)
• Responds in 50+ languages with sub-500ms median latency
• Trained on site content for business-specific answers and actions
• One-line JavaScript embed, works on WordPress, Shopify, Wix, Webflow, React, Next.js, Vue, Squarespace, or plain HTML
• Source-available and self-hostable via Docker, with provider-agnostic model support (Gemini Live, OpenAI Realtime)
• Analytics dashboard tracking sessions, messages, completion rates, and token usage

Frequently asked questions