Open WebUI

What is Open WebUI?

Open WebUI is a self-hosted, open-source web interface for running local AI models and connecting to cloud AI APIs through a polished, ChatGPT-like experience. It serves as a unified frontend for Ollama, OpenAI, Anthropic, and any OpenAI-compatible API, letting you interact with multiple AI models through a single, feature-rich interface that you control entirely.

The platform goes far beyond a simple chat interface. Open WebUI includes document analysis (upload PDFs and ask questions about them), web search integration, voice input and text-to-speech output, image generation support, multi-user management with role-based access, and conversation sharing. For teams, it provides a private, self-hosted alternative to ChatGPT Team or Claude for Business without per-seat subscription costs.

Deployment is Docker-based, making it relatively straightforward for anyone with basic server administration experience. A single Docker command sets up the entire application with Ollama integration. For organizations already running local AI infrastructure, Open WebUI adds the user-friendly layer that makes local models accessible to non-technical team members. The admin panel provides user management, model access controls, and usage monitoring.

Open WebUI is completely free and open-source with no pricing tiers or feature restrictions. All functionality is available to every installation. The only costs are your own hosting infrastructure and any third-party API fees for cloud models. Enterprise support with custom branding, SLA guarantees, and long-term support versions is available through optional enterprise licenses with custom pricing.

Open WebUI Pricing

Completely free and open-source

Key Features

• ChatGPT-like interface — Polished web UI with conversation history, model switching, system prompts, and parameter tuning that feels as refined as commercial products
• Ollama integration — Seamless connection to Ollama for running local models like Llama 3, Mistral, Gemma, and CodeLlama with automatic model detection
• Multi-provider API support — Connect to OpenAI, Anthropic, Groq, and any OpenAI-compatible API alongside local models in a single interface
• Document analysis (RAG) — Upload PDFs, Word documents, and text files, then ask questions about their content using retrieval-augmented generation
• Web search integration — AI models can search the web for current information during conversations for up-to-date responses
• Voice input and TTS — Speech-to-text input and text-to-speech output for hands-free AI interaction
• Multi-user management — Admin panel with user accounts, role-based access controls, model permissions, and usage monitoring
• Image generation — Support for AI image generation through integrated backends like AUTOMATIC1111 and ComfyUI
• Docker deployment — Single Docker command sets up the entire application with Ollama integration for quick, reproducible installations
• Conversation sharing — Share conversations with team members or export them for documentation and knowledge management
• RAG support
• Document upload
• Multi-user support
• Plugin system
• Markdown & code support

Pros & Cons

Best For

IT teams deploying a private ChatGPT alternative for their organization without sending data to third-party services. Developers who want a unified interface for testing multiple local and cloud AI models during development. Privacy-sensitive organizations in healthcare, legal, or finance that need AI capabilities without external data exposure. AI enthusiasts who self-host local models and want a polished frontend that makes them accessible to less technical household or team members.