Tambahkan kemampuan bahasa alami dengan satu panggilan API
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.
Jelajahi opsi harga
Terapkan filter untuk menyesuaikan opsi harga dengan kebutuhan Anda.
Harga hanya perkiraan dan tidak dimaksudkan sebagai penawaran harga aktual. Harga sebenarnya dapat bervariasi tergantung jenis perjanjian yang dibuat dengan Microsoft, tanggal pembelian, dan nilai tukar mata uang. Harga dihitung berdasarkan dolar AS dan dikonversi menggunakan kurs spot penutupan bursa London yang diperoleh dalam dua hari kerja sebelum hari kerja terakhir pada akhir bulan sebelumnya. Jika dua hari kerja sebelum akhir bulan jatuh pada hari libur bank di pasar utama, tarif umumnya ditetapkan pada hari tepat sebelum dua hari kerja tersebut. Tarif ini berlaku untuk semua transaksi selama 1 bulan mendatang. Masuk ke Kalkulator harga Azure untuk melihat harga berdasarkan program/penawaran Anda saat ini dengan Microsoft. Hubungi spesialis penjualan Azure untuk informasi selengkapnya tentang harga atau untuk meminta penawaran harga. Lihat tanya jawab umum tentang harga Azure.
Entitas pemerintah AS memenuhi syarat untuk membeli layanan Azure Government dari penyedia solusi lisensi tanpa komitmen keuangan di muka, atau secara langsung melalui langganan online bayar sesuai penggunaan.
Penting— Harga dalam R$ hanyalah referensi. Ini adalah transaksi internasional dan harga akhir tunduk pada nilai tukar dan termasuk pajak IOF dan eNF tidak akan diterbitkan.
Entitas pemerintah AS memenuhi syarat untuk membeli layanan Azure Government dari penyedia solusi lisensi tanpa komitmen keuangan di muka, atau secara langsung melalui langganan online bayar sesuai penggunaan.
Penting— Harga dalam R$ hanyalah referensi. Ini adalah transaksi internasional dan harga akhir tunduk pada nilai tukar dan termasuk pajak IOF dan eNF tidak akan diterbitkan.
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.
| Instans | Fitur | Inferensi Per 1,000 text records |
|---|---|---|
| Gratis - 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 - Disertakan 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) | $- |
Hosting titik akhir pelatihan dan model
| Instans | Fitur | Hosting titik akhir pelatihan dan model |
|---|---|---|
| Gratis - 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
| Instans | Fitur | Harga (per bulan) | Kelebihan |
|---|---|---|---|
| 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
| Fitur | 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 |
Opsi harga dan pembelian Azure
Terhubung dengan kami secara langsung
Dapatkan panduan harga Azure. Pahami harga untuk solusi cloud Anda, pelajari tentang pengoptimalan biaya, dan minta proposal khusus.
Bicara dengan spesialis penjualanLihat cara pembelian
Beli layanan Azure melalui situs web Azure, perwakilan Microsoft, atau mitra Azure.
Jelajahi opsi AndaSumber daya tambahan
Azure AI Bahasa
Pelajari selengkapnya tentang fitur dan kemampuan Azure AI Bahasa.
Kalkulator harga
Perkirakan biaya bulanan Anda untuk penggunaan kombinasi produk Azure apa pun.
Dokumentasi
Tinjau tutorial teknis, video, dan Azure AI Bahasa sumber daya lainnya.
Tanya jawab umum
-
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.
-
Usage is throttled if the transaction limit is reached on the Free tier. Customers cannot accrue overages on the free tier.
-
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.
Hubungi ahli penjualan untuk panduan harga Azure. Pahami harga untuk solusi cloud Anda.
Dapatkan layanan cloud gratis dan kredit $200 untuk menjelajahi Azure selama 30 hari.