POST
/
v3
/
documents
/
batch
Batch add documents
const url = 'https://api.supermemory.ai/v3/documents/batch';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"documents":[{"containerTag":"user_123","containerTags":["user_123","project_123"],"content":"This is a detailed article about machine learning concepts...","customId":"mem_abc123","fileType":"pdf","mimeType":"image/png","metadata":{"category":"technology","isPublic":true,"readingTime":5,"source":"web","tag_1":"ai","tag_2":"machine-learning"}}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
[
  {
    "id": "<string>",
    "status": "<string>"
  }
]

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
documents
required
Required array length: 1 - 100 elements
containerTag
string

Optional tag 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.

Example:

"user_123"

containerTags
string[]
deprecated

(DEPRECATED: Use containerTag instead) 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.

Example:
["user_123", "project_123"]
fileType
string

Optional file type override to force specific processing behavior. Valid values: text, pdf, tweet, google_doc, google_slide, google_sheet, image, video, notion_doc, webpage, onedrive

Example:

"pdf"

mimeType
string

Required when fileType is 'image' or 'video'. Specifies the exact MIME type to use (e.g., 'image/png', 'image/jpeg', 'video/mp4', 'video/webm')

Example:

"image/png"

metadata
object

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.

Example:
{
"category": "technology",
"isPublic": true,
"readingTime": 5,
"source": "web",
"tag_1": "ai",
"tag_2": "machine-learning"
}

Response

Documents added successfully

id
string
required
status
string
required