# Fish Audio vs FluidStack Fish Audio 每月有 8,557,159 次造訪，月增率 +1.6%，定價模式為免費增值。FluidStack 每月有 154,620 次造訪，成長率 +7.3%，定價模式為付費、需聯絡報價。 | 指標 | [Fish Audio](https://openaitools.app/tw/tool/fish-speech) | [FluidStack](https://openaitools.app/tw/tool/fluidstack) | | :--- | :--- | :--- | | 網站網址 | https://fish.audio | https://fluidstack.io | | 分類 | AI 語音生成器, AI 文字轉語音, AI 名人語音生成器, AI 模型 | AI 開發者工具, AI 模型, Large Language Models (LLMs) | | 定價模式 | 免費增值 | 付費、需聯絡報價 | | 每月造訪次數 | 8,557,159 | 154,620 | | 月成長率 | +1.6% | +7.3% | | 主要市場 | 美國 | 美國 | | 直接造訪 | 3,703,977 | 47,869 | | 評論分數 | 4.4 | 4.4 | | 收藏數 | 11 | 1 | | 支援平台 | 網站 | 網站 | ## Fish Audio Fish Audio（原名 Fish Speech）是一個把文字轉為自然語音的語音 AI 平台，整合文字轉語音、聲音克隆與語音轉文字，並支援情緒控制：你可以把台詞標註為 [whispering]、[excited] 或 [sobbing]，得到貼合劇本的演繹，而非平淡朗讀。其聲音庫規模龐大，社群上傳的聲音數量以百萬計，涵蓋多種語言。 克隆速度快且門檻低：極短的音訊樣本即可建立可用的聲音模型，之後還能用該聲音說多種語言並保留原始音色。Fish Audio 提供面向即時串流、克隆與轉寫的強大 API，並鎖定企業場景，如對話式代理、配音與有聲書製作。 公司同時保留開源路線，釋出 Fish Speech 模型系列供自行部署；託管平台則提供瀏覽器工作室、虛擬形象以及圖像／影片模型整合，並有更高用量的付費方案。免費起步方案讓使用者能先測試再決定付費。 **價格與方案:** 免費增值：註冊免費並享每月生成額度，付費訂閱可獲得更高用量、商業授權與 API 存取；企業方案需聯繫銷售。 - **富有表情的文字轉語音:** 輸入或貼上文稿即可生成自然旁白，支援 [whispering]、[angry]、[laughing] 等行內情緒與演繹標籤。 - **即時聲音克隆:** 用一段簡短音訊樣本建立可用的聲音克隆，並在不同文稿與語言中重複使用。 - **龐大聲音庫:** 瀏覽並使用涵蓋多語言與多種角色風格的大量社群聲音。 - **語音轉文字:** 支援多語言轉寫，並提供情緒與說話者線索，方便後續剪輯。 - **即時語音 API:** 低延遲串流介面讓開發者打造對話代理、配音流程與音訊應用。 **優勢:** 輸出自然、情緒可控，對細微語氣處理出色; 聲音克隆只需很短的樣本; 擁有龐大共享聲音庫與開源模型血統; 提供面向即時串流與開發者整合的強大 API **限制:** 免費額度有限，追求高品質輸出通常需轉向付費方案; 聲音克隆涉及授權與冒用風險，團隊須自行管理; 部分功能與模型名稱更新很快，文件可能落後於產品 [Profile (Markdown)](https://openaitools.app/tw/tool/fish-speech.md) ## FluidStack FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use. **價格與方案:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. - **Datacenter-scale compute built in-house:** FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds. - **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads. - **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems. - **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers. - **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice. **優勢:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure **限制:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams [Profile (Markdown)](https://openaitools.app/tw/tool/fluidstack.md) ## 常見問題 ### Fish Audio 與 FluidStack 的每月流量相比如何？ Fish Audio 每月有 8,557,159 次造訪，而 FluidStack 有 154,620。流量估算反映受眾規模，並非產品品質。 ### 兩者的成長率相比如何？ Fish Audio 的月增率為 +1.6%；FluidStack 為 +7.3%。 ### 價格相比如何？ Fish Audio：免費增值。免費增值：註冊免費並享每月生成額度，付費訂閱可獲得更高用量、商業授權與 API 存取；企業方案需聯繫銷售。 FluidStack：付費、需聯絡報價。Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. ## 替代方案 | # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [ElevenLabs](https://openaitools.app/tw/tool/elevenlabs-io) | 42,396,771 | +26.1% | 免費增值、付費、需聯絡報價 | 具備業界領先的語音複製與文字轉語音品質，但缺乏 Fish Audio 的開源模型靈活性與自行託管選項。 | [.md](https://openaitools.app/tw/tool/elevenlabs-io.md) | | 2 | [HeyGen](https://openaitools.app/tw/tool/heygen) | 7,000,070 | +9.4% | 免費增值 | 幾分鐘內把腳本變成攝影棚級 AI 數字人影片 | [.md](https://openaitools.app/tw/tool/heygen.md) | | 3 | [Speechify](https://openaitools.app/tw/tool/speechify) | 5,457,475 | +0.5% | 免費增值 | 涵蓋所有裝置的文字轉語音與語音 AI | [.md](https://openaitools.app/tw/tool/speechify.md) | | 4 | [Voicemod](https://openaitools.app/tw/tool/voicemod) | 3,836,221 | -2.7% | 免費增值 | Voicemod is a real-time AI voice changer and soundboard for PC, Mac and mobile. It swaps your microphone input for 200+ voices and sound effects that work inside Discord, games, streaming apps and calls. | [.md](https://openaitools.app/tw/tool/voicemod.md) | | 5 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tw/tool/fal-ai.md) | | 6 | [RunPod](https://openaitools.app/tw/tool/runpod) | 2,881,043 | +5.9% | 付費 | 提供靈活的隨需 GPU 租賃與無伺服器端點，但缺乏 FluidStack 的超大規模企業級 GPU 叢集。 | [.md](https://openaitools.app/tw/tool/runpod.md) | | 7 | [Cartesia](https://openaitools.app/tw/tool/cartesia-ai) | 1,782,707 | +49.7% | 需聯絡報價 | 透過 API 提供超低延遲的即時串流語音生成，但較不專注於一般消費者的配音工作流程。 | [.md](https://openaitools.app/tw/tool/cartesia-ai.md) | | 8 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 專注於優化的無伺服器推論 API 與託管模型代管，而非單純的裸叢集租賃。 | [.md](https://openaitools.app/tw/tool/together-ai.md) | | 9 | [Vast.ai](https://openaitools.app/tw/tool/vast-ai) | 1,257,554 | +2.8% | 付費 | 提供用於低成本實驗的點對點 GPU 租賃市場，但企業級基礎設施的穩定預測性較低。 | [.md](https://openaitools.app/tw/tool/vast-ai.md) | | 10 | [Modal](https://openaitools.app/tw/tool/modal-com) | 1,196,021 | +30.2% | 免費增值、需聯絡報價 | 提供用於雲端作業的無伺服器 Python 容器執行環境，但缺乏裸多節點叢集佈署控制。 | [.md](https://openaitools.app/tw/tool/modal-com.md) | --- 來源：https://openaitools.app/tw/compare/fish-speech-vs-fluidstack More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)