Ouvrir l'interface utilisateur Web
8.3

Ouvrir l'interface utilisateur Web

  • Votre auto-hébergement AI Centre de commandement pour le contrôle total des données
  • L'interface LLM open source, utilisée par plus de 418 000 utilisateurs dans le monde entier.

Open WebUI Key Insights

Modèle de tarification : Free + Enterprise Licence
Niveau gratuit : Oui
Marqué comme : Self-Hosted AI Plateforme complète
Prix: $0 
Prise en charge multimodèle :
Ollama Integration:
OuvrezAI API Compatible:
CHIFFON:
Contrôle d'accès basé sur les rôles :
SSO / LDAP / OIDC Authentication:
Génération d'images :
Appels vocaux et vidéo:
Python Plugin Extensibility:
Assistance MCP :
Intégration de la recherche Web :
Option hébergée dans le cloud :
Supported Vector Databases: 9

What is Open WebUI?

Ouvrir l'interface utilisateur Web

Ouvrir l'interface utilisateur Web is a self-hosted, open source AI platform that gives organisations a single web interface to manage conversations across multiple large language models. It connects to Ollama for local model inference, plus any OpenAI compatible API such as Anthropic, Mistral, or GroqCloud. Built to run entirely offline, it keeps all data on your own infrastructure, making it ideal for teams with strict privacy or compliance requirements. 

The platform includes built-in RAG for document search, Python based plugin extensibility, voice and video calling, image generation, and enterprise grade authentication. With over 290 million Docker pulls and 140,000 GitHub stars, Open WebUI has become the go-to open source LLM frontend for businesses that want full ownership of their AI stack without vendor lock-in.

Key Features of Open WebUI
Multi-Model Chat with Side-by-Side Comparison
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Open WebUI lets you run two or more models in parallel within a single conversation. You can compare outputs from GPT-4o, Claude, Llama, or any connected model without switching tabs. This saves significant time during model evaluation and helps teams pick the right model for each use case.

Retrieval Augmented Generation with Nine Vector Databases
Retrieval Augmented Generation Open WebUI

The platform supports nine vector database backends including ChromaDB, PGVector, Qdrant, and Milvus. Paired with hybrid search (BM25 plus vector) and cross-encoder reranking, your AI can pull accurate answers from uploaded documents. This makes Open WebUI a strong fit for internal knowledge bases and compliance-heavy document workflows.

Python Plugin Extensibility and MCP Support

You can extend Open WebUI with custom Python tools directly from its built-in code editor. It also supports Protocole de contexte modèle (MCP) servers and OpenAPI endpoints, allowing you to plug in external services without modifying the core platform. This turns the interface into a true automation hub.

Enterprise Authentication and Role Based Access Control

Open WebUI supports SSO via OIDC, LDAP, Active Directory, and SCIM 2.0 automated provisioning. Administrators can assign granular permissions per user, group, or model. This is critical for organisations that need to comply with SOC 2, HIPAA, or GDPR requirements.

Voice, Video, and Image Generation in One Interface

La plateforme intègre parole-texte (Whisper, Deepgram, Azure), text-to-speech (OnzeLabs, OpenAI), hands-free voice and video calling, and image generation through DALL-E, Gemini, and ComfyUI. Everything runs from the same chat window, eliminating the need for separate tools.

Open Terminal for Agentic Code Execution

Open Terminal connects a real computing environment to your chat. The AI writes code, executes it, reads the output, and iterates on errors. It handles file management, package installation, and even web server previews. This feature alone sets Open WebUI apart for developer-focused teams.

Open WebUI Pricing Plans

Nom du régimePrixPrincipales limites et fonctionnalités
Communauté (auto-hébergée)$0All features, unlimited users, must retain Open WebUI branding
Entrepriseenviron 5 000 $ par an White-labelling, SLA support, dedicated onboarding, LTS versions
Sponsored Hosting (Third Party)Encadrement Sur MesureManaged hosting via Elestio, AWS Marketplace, or similar platforms

Open WebUI for Team Collaboration

Open WebUI includes a Channels feature that creates persistent, shared spaces where team members and AI models interact in real time. You can tag any connected model using @mentions, allowing one team member to ask GPT-4o for a draft while another tags Claude for a critique.

All responses appear in a single timeline visible to everyone. Threads, emoji reactions, and direct message channels are also available. Access control lets admins set channels to public, private, or group-based. For organisations looking to replace Slack-plus-ChatGPT workflows with something self-hosted, this feature fills a genuine gap in the market.

Avantages et inconvénients

Avantages
  • Connects to any LLM provider.
  • Nine vector database options for RAG.
  • Full offline and air-gapped capability.
  • Enterprise grade authentication built in.
  • Extensible with Python plugins.
Inconvénients
  • No official cloud-hosted option.
  • Setup requires Docker or Kubernetes knowledge.
  • Pas d'application mobile native pour le moment.

Open WebUI Community and Ecosystem

The Open WebUI community marketplace at openwebui.com hosts user-created prompts, tools, model configurations, and functions that anyone can browse and install with one click. With 418,000+ members contributing, you get access to ready-made agents for code review, meeting summaries, data analysis, and much more.

The Pipelines plugin system lets you build modular workflows for rate limiting, usage monitoring with Langfuse, traduction en direct with LibreTranslate, and toxic message filtering. If your use case is niche, chances are someone in the community has already built a tool for it. This ecosystem is what keeps Open WebUI ahead of smaller self-hosted alternatives that lack a contributor base.

Best Open WebUI Alternatives

Self-Hosted AI Plateforme complèteFlexibilité de l'auto-hébergementÉcosystème de plugins
LibreChatStrong, Docker based, good RBACModerate, fewer community plugins
N'importe quoiLLMGood, supports local and cloud modelsGrowing, built-in agent tools
Studio LMDesktop only, no server deploymentMinimal, focused on model management
JanvierLightweight, local-first approachLimited, early-stage community
Verdict: Open WebUI wins on extensibility, multi-user support, and community scale.

  • Run any model. Keep every conversation private.
  • Gratuit
  • Connect Ollama, OpenAI, Anthropic — one single pane.
9.0
Sécurité de la plateforme
9.0
Sans risque et remboursement
8.0
Services et fonctionnalités
7.0
Assistance Clients
8.3 Note générale

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