> ## Documentation Index
> Fetch the complete documentation index at: https://docs.truv.com/llms.txt
> Use this file to discover all available pages before exploring further.

# The Parsed Documents object

> Access parsed document data retrieved through Truv Bridge connections.

Parsed Documents contain structured data extracted from documents uploaded and processed through Truv Bridge. Currently, only **volunteer letters** (`VOLUNTEER_LETTER`) are available through this endpoint; support for additional document types such as paystubs will be added in future releases.

# Attributes

The table below covers the fields in a parsed document.

| Attribute         | Type         | Description                                                            |
| :---------------- | :----------- | :--------------------------------------------------------------------- |
| id                | string       | Parsed document ID                                                     |
| document\_type    | string       | Document type. Currently only `VOLUNTEER_LETTER` is supported.         |
| document\_subtype | string, null | Document subtype, valid values below `VOL_TRANSCRIPT`, `VOL_HOURS_LOG` |
| file              | uri, null    | Parsed document file link                                              |
| md5sum            | string       | Parsed document MD5 checksum                                           |

# Endpoints

Use the endpoints below to get information on parsed documents.

* [List parsed documents](/api-reference/parsed-documents/list-parsed-documents)
* [Retrieve parsed document](/api-reference/parsed-documents/retrieve-parsed-document)

# Example response

The sample below is a JSON response for the List endpoint.

```json theme={null}
{
  "count": 1,
  "next": null,
  "previous": null,
  "results": [
    {
      "id": "24d7e80942ce4ad58a93f70ce4115f5c",
      "document_type": "VOLUNTEER_LETTER",
      "document_subtype": "VOL_TRANSCRIPT",
      "file": "https://cdn.truv.com/files_examples/VOLUNTEER_LETTER.pdf",
      "md5sum": "24d7e80942ce4ad58a93f70ce4115f5c"
    }
  ]
}
```