OpenVenice

A customizable, open-source frontend for the Venice AI API.

Venice gives you access to powerful AI models for text, images, audio, music, and video. OpenVenice gives you a clean interface to use them — one you own, can modify, and can host yourself.

https://github.com/user-attachments/assets/1056682b-80c2-45da-9b57-6572840e8db4

Why OpenVenice?

Your interface, your rules. Venice's official UI is great, but sometimes you want more control:

• Customize everything — add tools, change layouts, tweak parameters, build features that matter to you. The codebase is intentionally simple and hackable.
• Share your API key with family — host OpenVenice on your own server, enter your key once, and give your family a clean AI interface without them needing their own accounts.
• No server, no backend — it's a static site. Your API key stays in your browser's localStorage and goes directly to Venice's API. Nothing passes through a middleman.
• Transparent — every API call is visible in the source. No telemetry, no analytics, no tracking.
• Barebones on purpose — ships with useful features like visual workflows, but keeps things minimal so you can build on top without fighting existing complexity.

Features

Chat

Streaming responses, conversation history, model selection, web search, citations, temperature control. Markdown rendering with syntax highlighting.

Image Generation

Prompts, negative prompts, style presets, steps, resolution, aspect ratio, variants, watermark control. Lightbox gallery with download.

Audio

Text-to-speech with 40+ voices across 9 languages. Adjustable speed, multiple formats (MP3, Opus, AAC, FLAC, WAV). Audio transcription.

Music Generation

Text-to-music with optional lyrics, duration control, instrumental mode. Supports Stable Audio, ACE-Step, ElevenLabs, MiniMax.

Video Generation

Text-to-video and image-to-video. Configurable aspect ratio, resolution, duration. Auto-detects model capabilities.

Embeddings

Vector embeddings for text with selectable models and encoding formats.

Workflows

Visual node editor for chaining models. Connect Input to LLM to Image Gen to Output — each node has full parameter controls. Starter templates included:

• Write + Illustrate — LLM expands a concept into an image prompt, generates the image
• Research + Summarize — Web-search a topic, distill into bullet points
• Write + Narrate — LLM writes text, TTS reads it aloud

Getting Started

npm install
npm run dev

That's it. Open http://localhost:5173, click API Key in the header, paste your Venice AI API key, and start using it.

Self-hosting

Build and serve the static files from anywhere — Vercel, Netlify, a Raspberry Pi, whatever:

npm run build    # outputs to /dist

The /dist folder is a fully static site. Serve it with any web server. There's no backend — the browser talks directly to api.venice.ai.

To share with family: deploy it, share the URL, and have them enter your API key (or their own). Each person's key and settings are stored in their own browser.

Keyboard Shortcuts

| Shortcut | Action | |----------|--------| | Cmd+N | New chat | | Cmd+1-7 | Switch tabs |

Tech Stack

React 19, TypeScript, Vite, Zustand, TanStack Query, Tailwind CSS, React Flow.

Project Structure

src/
├── app.tsx                     # Tab routing
├── components/
│   ├── chat/                   # Chat interface
│   ├── image/                  # Image generation
│   ├── audio/                  # TTS & transcription
│   ├── music/                  # Music generation
│   ├── video/                  # Video generation
│   ├── embeddings/             # Embeddings
│   ├── workflows/              # Visual workflow editor
│   ├── layout/                 # Sidebar, header, API key dialog
│   └── ui/                     # Shared components
├── stores/                     # Zustand stores
├── hooks/                      # Data-fetching hooks
├── lib/                        # API client, workflow engine, utils
└── types/                      # TypeScript types

Contributing

Fork it, break it, make it yours. PRs welcome.

License

MIT