使用單一 API 呼叫新增自然語言功能
Industry leading language capabilities that enable you to build conversational interfaces into application, identify key terms and phrases, understand sentiments, and many others. Annotate, train, evaluate, and deploy customizable models in Language Studio without machine learning expertise.
Text analytics for health uses natural language processing to find and label information in unstructured clinical documents.
探索定價選項
套用篩選以根據您的需求自訂定價選項。
價格僅為估算值，並非實際價格報價。實際定價可能會根據與 Microsoft 簽訂的合約類型、購買日期和目前貨幣匯率而有所不同。價格是根據美元計算，並使用前一個月底最後一個工作天之前兩個工作天內擷取的倫敦即期匯率進行轉換。如果月底的前兩個工作天是主要市場中的銀行假日，則匯率設定日期通常為兩個工作天之前的那一天。此匯率適用於下個月的所有交易。登入 Azure 定價計算機查看依據您目前 Microsoft 方案/供應項目所訂的定價。如需定價的詳細資訊或要求報價，請連絡 Azure 銷售專員。請參閱 Azure 定價常見問題集。
美國政府機構有資格透過授權解決方案提供者購買 Azure Government 服務，無須預先支付費用；亦可直接透過隨用隨付線上訂用帳戶購買。
重要 - 以 R$ 表示的價格僅供參考；這是國際交易，因此最終價格需視匯率與是否內含 IOF 稅而定，而且不會發行 eNF。
美國政府機構有資格透過授權解決方案提供者購買 Azure Government 服務，無須預先支付費用；亦可直接透過隨用隨付線上訂用帳戶購買。
重要 - 以 R$ 表示的價格僅供參考；這是國際交易，因此最終價格需視匯率與是否內含 IOF 稅而定，而且不會發行 eNF。
Language service can be purchased in tiers.
Text Records correspond to the number of 1,000-character units.
- Summarization features count the combined length of input document and corresponding output summary as text records. Other Language features count the length of input document.
- Summarization, sentiment analysis, key phrase extraction, language detection, question answering, named entity recognition, and conversational language understanding all share 5,000 free text records per month.
- Please contact sales for pricing of over 10 million text records.
- Some features such as question answering require dependent resources. When you choose question answering, an Azure AI Search resources will also be deployed in your subscription.
| 執行個體 | 功能 | 推斷 Per 1,000 text records |
|---|---|---|
| 免費 - Web |
Sentiment analysis (available in containers) Key phrase extraction (available in containers) Language detection (available in containers) Custom question answering1 Prebuilt question answering Named entity recognition (available in containers) PII detection (available in containers) Summarization (all types) |
5,000 text records free2 per month |
| Conversational language understanding Orchestration workflow |
||
|
Custom text classification
Custom named entity recognition2 |
||
| Standard (S) - Web |
Sentiment analysis (available in containers) Key phrase extraction (available in containers) Language detection (available in containers) Named entity recognition (available in containers) PII detection (available in containers) |
0.0M-0.50M - $- 0.5M-2.50M - $- 2.5M-10M - $- 10M+ - $- |
|
Conversational language understanding Orchestration workflow |
$- | |
|
Custom text classification
Custom named entity recognition (available in containers) |
$- | |
| Text analytics for health (available in containers) | 0M-0M - 已包含 0.005M-0.50M - $- 0.5M-2.50M - $- 2.5M-10M - $- 10M+3 - $- | |
|
Custom question answering4
Prebuilt question answering |
0-2.5M - $- 2.5M+ - $- | |
| Summarization (all types) | $- |
訓練與模型端點裝載
| 執行個體 | 功能 | 訓練與模型端點裝載 |
|---|---|---|
| 免費 - Web | Conversational language understanding Orchestration workflow |
Standard training: free
Advanced training: up to 1 hour free Model endpoint hosting: free |
|
Custom text classification
Custom named entity recognition2 |
Training: up to 1 hour free
Model endpoint hosting: up to 1 model free |
|
| Standard (S) - Web | Conversational language understanding |
Standard training: free
Advanced training: $- per hour Endpoint hosting: free |
|
Custom text classification
Custom named entity recognition |
Training: $- per hour
Endpoint hosting: $- per model per month |
Commitment Tiers
| 執行個體 | 功能 | 價格 (每個月) | 超額 |
|---|---|---|---|
| Azure – standard | Sentiment analysis (and opinion mining) Key phrase extraction Language detection Named entity recognition PII detection |
$- per 1M text records $- per 3M text records $- per 10M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Azure – standard | Summarization | $- per 3M text records | $- per 1,000 text records |
| $- per 10M text records | $- per 1,000 text records | ||
| Azure – standard | Conversational language understanding |
$- per 1M text records $- per 3M text records $- per 10M text records $- per 25M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Connected container – standard | Sentiment analysis (and opinion mining) Key phrase extraction Language detection Named entity recognition PII detection |
$- per 1M text records $- per 3M text records $- per 10M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Connected container – standard | Summarization | $- per 3M text records | $- per 1,000 text records |
| $- per 10M text records | $- per 1,000 text records | ||
| Connected container – standard | Conversational language understanding |
$- per 1M text records $- per 3M text records $- per 10M text records $- per 25M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
Disconnected containers
| 功能 | Price per year | Max usage per year | Projected usage per month |
|---|---|---|---|
| Sentiment analysis (and opinion mining), Key phrase extraction, Language detection, Named entity recognition, PII detection | $- | 120M text records | 10M text records |
| $- | 36M text records | 3M text records | |
| Summarization | $- | 120M text records | 10M text records |
| $- | 36M text records | 3M text records | |
| Conversational language understanding | $- | 3M text records | |
| $- | 10M text records |
Azure 定價與購買選項
其他資源
Azure AI 語言
深入了解 Azure AI 語言 的功能。
定價計算機
預估您使用任何 Azure 產品組合的預期每月費用。
文件
檢閱技術教學課程、影片和更多 Azure AI 語言 資源。
常見問題集
-
In the S tier, the service is billed for only the amount of Text Records submitted to the service.
-
A text record in the S tier contains up to 1,000 characters as measured by StringInfo.LengthInTextElements. If an input document into the Language API is more than 1,000 characters, it counts as one text record for each unit of 1,000 characters. For instance, if an input document sent to the API contains 7,500 characters, it would count as 8 text records. If an input document sent to the API contains 500 characters, it would count as 1 text record. If two documents are submitted, one document of 500 characters and one document of 1,200 characters, then the service would be billed for three text records in total: one record for the 500 character document and two text records for the 1,200 character document. You can check your text records usage in your Text Analytics resource in Azure portal under Monitoring > Metrics > Processed Text Records.
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Usage is throttled if the transaction limit is reached on the Free tier. Customers cannot accrue overages on the free tier.
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Let’s say an API call performs both sentiment analysis and key-phrase extraction on 1,000 documents, that will count for 2,000 transactions (2 × 1,000 documents). The maximum size of a single document is 5,120 characters as measured by StringInfo.LengthInTextElements. If a document has more than 5,120 chars then we do not process that specific document and show invalid document as the error. If a request has multiple documents, then we process all documents which are less than 5,120 characters. S0-S4 tiers have been deprecated. Guide on how to migrate.
-
Standard pricing (S instance) is text records-based pricing and enables you to use the latest capabilities of Text analytics. It is more cost-effective vs using transactions-based pricing. S0-S4 pricing tiers are now deprecated and you are encouraged to switch to S tier. Guide on how to migrate
-
Orchestration workflow only charges you for requests to the Orchestration endpoint. If the orchestration workflow project routes your request to another conversational language understanding, custom question answering, or LUIS project, you are not additionally charged for the call to that service.
與銷售專員洽談，取得 Azure 定價的逐步解說。了解您雲端解決方案的定價。
取得免費的雲端服務，以及可於 30 天內用來探索 Azure 的 $200 點數。
已新增至估算。