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----
-title: "Auto Multi Modal"
-description: "supermemory automatically detects the content type of the document you are adding."
-icon: "sparkles"
----
-
-supermemory is natively multi-modal, and can automatically detect the content type of the document you are adding.
-
-We use the best of breed tools to extract content from URLs, and process it for optimal memory storage.
-
-## Automatic Content Type Detection
-
-supermemory automatically detects the content type of the document you're adding. Simply pass your content to the API, and supermemory will handle the rest.
-
-<Tabs>
-  <Tab title="How It Works">
-    The content detection system analyzes:
-    - URL patterns and domains
-    - File extensions and MIME types
-    - Content structure and metadata
-    - Headers and response types
-  </Tab>
-  <Tab title="Best Practices">
-    <Accordion title="Content Type Best Practices" defaultOpen icon="sparkles">
-      1. **Type Selection**
-         - Use `note` for simple text
-         - Use `webpage` for online content
-         - Use native types when possible
-
-      2. **URL Content**
-         - Send clean URLs without tracking parameters
-         - Use article URLs, not homepage URLs
-         - Check URL accessibility before sending
-    </Accordion>
-
-  </Tab>
-</Tabs>
-
-### Quick Implementation
-
-All you need to do is pass the content to the `/memories` endpoint:
-
-<CodeGroup>
-
-```bash cURL
-curl https://api.supermemory.ai/v3/memories \
-  --request POST \
-  --header 'Authorization: Bearer SUPERMEMORY_API_KEY' \
-  -d '{"content": "https://example.com/article"}'
-```
-
-```typescript
-await client.add.create({
-  content: "https://example.com/article",
-});
-```
-
-```python
-client.add.create(
-    content="https://example.com/article"
-)
-```
-
-</CodeGroup>
-
-<Note>
-  supermemory uses [Markdowner](https://md.dhr.wtf) to extract content from
-  URLs.
-</Note>
-
-## Supported Content Types
-
-supermemory supports a wide range of content formats to ensure versatility in memory creation:
-
-<Grid cols={2}>
-  <Card title="Text Content" icon="document-text">
-    - `note`: Plain text notes and documents
-    - Directly processes raw text content
-    - Automatically chunks content for optimal retrieval
-    - Preserves formatting and structure
-  </Card>
-
-  <Card title="Web Content" icon="globe">
-    - `webpage`: Web pages (just provide the URL)
-    - Intelligently extracts main content
-    - Preserves important metadata (title, description, images)
-    - Extracts OpenGraph metadata when available
-
-    - `tweet`: Twitter content
-    - Captures tweet text, media, and metadata
-    - Preserves thread structure if applicable
-
-  </Card>
-
-  <Card title="Document Types" icon="document">
-    - `pdf`: PDF files
-    - Extracts text content while maintaining structure
-    - Handles both searchable PDFs and scanned documents with OCR
-    - Preserves page breaks and formatting
-
-    - `google_doc`: Google Documents
-    - Seamlessly integrates with Google Docs API
-    - Maintains document formatting and structure
-    - Auto-updates when source document changes
-
-    - `notion_doc`: Notion pages
-    - Extracts content while preserving Notion's block structure
-    - Handles rich text formatting and embedded content
-
-  </Card>
-
-  <Card title="Media Types" icon="photo">
-    - `image`: Images with text content
-    - Advanced OCR for text extraction
-    - Visual content analysis and description
-
-    - `video`: Video content
-    - Transcription and content extraction
-    - Key frame analysis
-
-  </Card>
-</Grid>
-
-## Processing Pipeline
-
-<Steps>
-  <Step title="Content Detection">
-    supermemory automatically identifies the content type based on the input provided.
-  </Step>
-
-<Step title="Content Extraction">
-  Type-specific extractors process the content with: - Specialized parsing for
-  each format - Error handling with retries - Rate limit management
-</Step>
-
-  <Step title="AI Enhancement">
-    ```typescript
-    interface ProcessedContent {
-      content: string;      // Extracted text
-      summary?: string;     // AI-generated summary
-      tags?: string[];     // Extracted tags
-      categories?: string[]; // Content categories
-    }
-    ```
-  </Step>
-
-  <Step title="Chunking & Indexing">
-    - Sentence-level splitting
-    - 2-sentence overlap
-    - Context preservation
-    - Semantic coherence
-  </Step>
-</Steps>
-
-## Technical Specifications
-
-### Size Limits
-
-| Content Type | Max Size |
-| ------------ | -------- |
-| Text/Note    | 1MB      |
-| PDF          | 10MB     |
-| Image        | 5MB      |
-| Video        | 100MB    |
-| Web Page     | N/A      |
-| Google Doc   | N/A      |
-| Notion Page  | N/A      |
-| Tweet        | N/A      |
-
-### Processing Time
-
-| Content Type | Processing Time |
-| ------------ | --------------- |
-| Text/Note    | Almost instant  |
-| PDF          | 1-5 seconds     |
-| Image        | 2-10 seconds    |
-| Video        | 10+ seconds     |
-| Web Page     | 1-3 seconds     |
-| Google Doc   | N/A             |
-| Notion Page  | N/A             |
-| Tweet        | N/A             |