add Azure OCR to docs

docs/my-website/docs/providers/azure/azure_ocr.md

@@ -0,0 +1,154 @@
+# Azure AI OCR
+
+## Overview
+
+| Property | Details |
+|-------|-------|
+| Description | Azure AI OCR provides document intelligence capabilities powered by Mistral, enabling text extraction from PDFs and images |
+| Provider Route on LiteLLM | `azure_ai/` |
+| Supported Operations | `/ocr` |
+| Link to Provider Doc | [Azure AI ↗](https://ai.azure.com/)
+
+Extract text from documents and images using Azure AI's OCR models, powered by Mistral.
+
+## Quick Start
+
+**LiteLLM SDK**
+
+```python showLineNumbers title="SDK Usage"
+import litellm
+import os
+
+# Set environment variables
+os.environ["AZURE_AI_API_KEY"] = ""
+os.environ["AZURE_AI_API_BASE"] = ""
+
+# OCR with PDF URL
+response = litellm.ocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={
+        "type": "document_url",
+        "document_url": "https://example.com/document.pdf"
+    }
+)
+
+# Access extracted text
+for page in response.pages:
+    print(page.text)
+```
+
+**LiteLLM PROXY**
+
+```yaml showLineNumbers title="proxy_config.yaml"
+model_list:
+  - model_name: azure-ocr
+    litellm_params:
+      model: azure_ai/mistral-document-ai-2505
+      api_key: "os.environ/AZURE_AI_API_KEY"
+      api_base: "os.environ/AZURE_AI_API_BASE"
+    model_info:
+      mode: ocr
+```
+
+## Document Types
+
+Azure AI OCR supports both PDFs and images.
+
+### PDF Documents
+
+```python showLineNumbers title="PDF OCR"
+response = litellm.ocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={
+        "type": "document_url",
+        "document_url": "https://example.com/document.pdf"
+    }
+)
+```
+
+### Image Documents
+
+```python showLineNumbers title="Image OCR"
+response = litellm.ocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={
+        "type": "image_url",
+        "image_url": "https://example.com/image.png"
+    }
+)
+```
+
+### Base64 Encoded Documents
+
+```python showLineNumbers title="Base64 PDF"
+import base64
+
+# Read and encode PDF
+with open("document.pdf", "rb") as f:
+    pdf_base64 = base64.b64encode(f.read()).decode()
+
+response = litellm.ocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={
+        "type": "document_url",
+        "document_url": f"data:application/pdf;base64,{pdf_base64}"
+    }
+)
+```
+
+## Supported Parameters
+
+```python showLineNumbers title="All Parameters"
+response = litellm.ocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={                           # Required: Document to process
+        "type": "document_url",
+        "document_url": "https://..."
+    },
+    include_image_base64=True,           # Optional: Include base64 images
+    pages=[0, 1, 2],                     # Optional: Specific pages to process
+    image_limit=10                       # Optional: Limit number of images
+)
+```
+
+## Response Format
+
+```python showLineNumbers title="Response Structure"
+# Response has the following structure
+response.pages          # List of pages with extracted text
+response.model          # Model used
+response.object         # "ocr"
+response.usage_info     # Token usage information
+
+# Access page content
+for page in response.pages:
+    print(f"Page {page.page_number}:")
+    print(page.text)
+```
+
+## Async Support
+
+```python showLineNumbers title="Async Usage"
+import litellm
+
+response = await litellm.aocr(
+    model="azure_ai/mistral-document-ai-2505",
+    document={
+        "type": "document_url",
+        "document_url": "https://example.com/document.pdf"
+    }
+)
+```
+
+## Important Notes
+
+:::info URL Conversion
+Azure AI OCR endpoints don't have internet access. LiteLLM automatically converts public URLs to base64 data URIs before sending requests to Azure AI.
+:::
+
+## Supported Models
+
+- `mistral-document-ai-2505` - Latest Mistral OCR model on Azure AI
+
+Use the Azure AI provider prefix: `azure_ai/<model-name>`
+

docs/my-website/sidebars.js

@@ -427,6 +427,7 @@ const sidebars = {
           label: "Azure AI",
           items: [
             "providers/azure_ai",
+            "providers/azure_ocr",
             "providers/azure_ai_speech",
             "providers/azure_ai_img",
           ]