免費增值
載入中…
正面對決基準比較
Chartnote vs RunningHub
Chartnote 每月有 0 次造訪，月增率 —，定價模式為免費增值、免費試用。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
Chartnote 每月有 0 次造訪，月增率 —，定價模式為免費增值、免費試用。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | chromewebstore.google.com | runninghub.ai |
| 定價模式 | 免費增值、免費試用 | 免費增值 |
| 每月造訪次數 | 0 (0) | 310.56萬 (3,105,554) |
| 月流量變化量 | 0 (—) | -123.77萬 (-28.5%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇨🇳 中國 (52.7%) |
| 每月直接造訪 | 0 | 229.72萬 |
| 使用者評分 | 4.6 | 4.4 |
| 支援平台 | 瀏覽器擴充功能 | 網站 |
把醫病對話變成可直接寫入電子病歷的臨床紀錄的 AI 醫療謄寫助手
在電腦或手機上錄製看診過程，即可取得包含主觀、客觀、評估與計畫章節的臨床結構化 SOAP 病歷，而非空泛的逐字稿摘要。
自行設計章節、嵌套子章節、順序與排版，並可選擇敘述式、簡潔式或要點式風格，讓病歷契合您的書寫習慣。
Intelligent Mapping 可在受支援的網頁版電子病歷中一鍵將病歷章節填入對應欄位；不支援映射時可使用固定顯示的 Companion 檢視逐段插入。
直接在病歷欄位中聽寫，將縮寫展開為可重複使用的 dot-phrase 範本，並藉由 AI Copilot 草擬病患訊息、轉診信與看診後摘要。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
專項更強面向電影級影片與圖像的 AI 原生創作套件
一站式 AI 影片、圖像與代理式內容創作工作室
專項更強在瀏覽器中免費生成 AI 圖像與影片，並託管模型
專項更強Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
專項更強Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
