---
title: "Get document embeddings (read)"
method: GET
path: "/document_intelligence/embeddings/{documents_id}"
tags: ["Document AI — AI Document Operations"]
---

# Get document embeddings (read)

`GET /document_intelligence/embeddings/{documents_id}`

## Request

- Base URL: `https://api.paperoffice.ai/latest`
- URL: `https://api.paperoffice.ai/latest/document_intelligence/embeddings/{documents_id}`
- Auth: HTTP bearer

Read all embedding types of a document — summary, full, page, paragraph, metadata, entity, and vision layers where available.

## Path parameters

- `documents_id` union, required
  - string
  - number

## Query parameters

- `type` string
- `include_vectors` boolean

## Response `200`

Success

- SuccessEnvelope: Success envelope. Payload fields are endpoint-specific (top-level fields, `result`/`job_result` for jobs, `data` on some account endpoints).
  - `status` 'success', required
  - `processing_time` union
    - string
    - number
  - `_billing` object

## Other responses

- `4XX`: Error
- `5XX`: Error

---

[API](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api.md) · [All operations](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api/llms.txt) · [OpenAPI document](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api/revisions/c6a6228a4509?raw)