## Get processing documents

`documents.list_processing()  -> DocumentListProcessingResponse`

**get** `/v3/documents/processing`

Get documents that are currently being processed

### Returns

- `class DocumentListProcessingResponse: …`

  List of documents currently being processed

  - `documents: List[Document]`

    - `id: str`

      Unique identifier of the document.

    - `created_at: str`

      Creation timestamp

    - `custom_id: Optional[str]`

      Optional custom ID of the document. This could be an ID from your database that will uniquely identify this document.

    - `metadata: Union[str, float, bool, 3 more]`

      Optional metadata for the document. This is used to store additional information about the document. You can use this to store any additional information you need about the document. Metadata can be filtered through. Keys must be strings and are case sensitive. Values can be strings, numbers, or booleans. You cannot nest objects.

      - `str`

      - `float`

      - `bool`

      - `Dict[str, object]`

      - `List[object]`

    - `status: Literal["unknown", "queued", "extracting", 5 more]`

      Status of the document

      - `"unknown"`

      - `"queued"`

      - `"extracting"`

      - `"chunking"`

      - `"embedding"`

      - `"indexing"`

      - `"done"`

      - `"failed"`

    - `title: Optional[str]`

      Title of the document

    - `type: Literal["text", "pdf", "tweet", 10 more]`

      Type of the document

      - `"text"`

      - `"pdf"`

      - `"tweet"`

      - `"google_doc"`

      - `"google_slide"`

      - `"google_sheet"`

      - `"image"`

      - `"video"`

      - `"audio"`

      - `"notion_doc"`

      - `"webpage"`

      - `"onedrive"`

      - `"github_markdown"`

    - `updated_at: str`

      Last update timestamp

    - `container_tags: Optional[List[str]]`

      Optional tags this document should be containerized by. This can be an ID for your user, a project ID, or any other identifier you wish to use to group documents.

  - `total_count: float`

    Total number of processing documents

### Example

```python
import os
from supermemory import Supermemory

client = Supermemory(
    api_key=os.environ.get("SUPERMEMORY_API_KEY"),  # This is the default and can be omitted
)
response = client.documents.list_processing()
print(response.documents)
```

#### Response

```json
{
  "documents": [
    {
      "id": "xxxxxxxxxxxxxxxxxxxxxx",
      "createdAt": "2024-12-27T12:00:00Z",
      "customId": "doc-api-rate-limits",
      "metadata": {
        "source": "bar",
        "language": "bar"
      },
      "status": "extracting",
      "title": "My Document",
      "type": "text",
      "updatedAt": "2024-12-27T12:01:00Z",
      "containerTags": [
        "string"
      ]
    }
  ],
  "totalCount": 5
}
```