免費 / 開源主要作為本地模型的輕量級 CLI 執行環境,而非功能齊全的聊天介面。

Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | getmarkup.com | openwebui.com |
| 定價模式 | 免費 | 免費增值 |
| 每月造訪次數 | 263 (263) | 80.45萬 (804,534) |
| 月流量變化量 | -57 (-17.8%) | -2.3萬 (-2.8%) |
| 主要市場與市佔 | 🇹🇷 土耳其 (100%) | 🇺🇸 美國 (24.5%) |
| 每月直接造訪 | 109 | 29.98萬 |
| 使用者評分 | 4 | 4.4 |
| 支援平台 | 網站 | 網站 |

藉助 AI 輔助標註,將自由文字變成結構化的可訓練資料。
對文件和自由文字進行標註,把姓名、實體、關係和欄位擷取為整潔的表格或 JSON 輸出。
專為 NLP 與機器學習流程打造,匯出的資料集無需大量重新格式化即可接入模型訓練流程。
AI 會給出標籤和擷取建議,減少重複的手工工作,同時讓你對正確性保留最終決定權。
互動式示範讓你在正式開展完整專案之前先體驗標註流程。

Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.
免費 / 開源主要作為本地模型的輕量級 CLI 執行環境,而非功能齊全的聊天介面。

免費 / 開源Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals.
專項更強強烈專注於重視隱私的文件聊天與本地 RAG 管道,但提供較少的通用聊天 UI 功能。

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.