POST
/
documents
/
v2
/
classify
cURL
curl --request POST \
  --url https://api.tensorlake.ai/documents/v2/classify \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "page_range": "1-5,8,10",
  "file_name": "document.pdf",
  "file_id": "file_abc123xyz",
  "mime_type": "application/pdf",
  "page_classifications": [
    {
      "name": "<string>",
      "description": "<string>"
    }
  ],
  "labels": {
    "priority": "high",
    "source": "email"
  }
}'
{
  "parse_id": "<string>",
  "created_at": "<string>"
}
Submit a uploaded file, an internet-reachable URL, or any kind of raw text for document parsing. If you have configured a webhook, we will notify you when the job is complete, be it a success or a failure. Once submitted, the API will return a parse response with a parse_id field. You can query the status and results of the parse operation with the Get Parse Result endpoint.

​
Using page classes

For this operation, you must pass in an array of categories along with their descriptions to guide the classifier in the page_classifications field. The API will return the page class for each page of the document. Each page class name must be unique within the document, and should be descriptive enough to convey the content of the page.

Authorizations

​
Authorization
string
header
required

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

Body

application/json

File source - must be exactly one of: file_id, file_url, or raw_text

​
file_id
string
required

ID of the file previously uploaded to Tensorlake. Has tensorlake- (V1) or file_ (V2) prefix.

Examples:

"file_abc123xyz"

​
page_classifications
object[]

The properties of this object define the configuration for page classify.

If this object is present, the API will perform page classify on the document.

​
labels
object | null

Additional metadata to identify the classification request. The labels are returned in the classification response.

Example:
{ "priority": "high", "source": "email" }
​
page_range
string

Comma-separated list of page numbers or ranges to parse (e.g., '1,2,3-5'). Default: all pages.

Examples:

"1-5,8,10"

​
file_name
string

Name of the file. Only populated when using file_id.

Examples:

"document.pdf"

​
mime_type
enum<string>
Available options:
application/pdf,
application/vnd.openxmlformats-officedocument.wordprocessingml.document,
application/msword,
application/vnd.openxmlformats-officedocument.presentationml.presentation,
application/vnd.apple.keynote,
image/jpeg,
text/plain,
text/html,
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,
application/vnd.ms-excel.sheet.macroenabled.12,
application/vnd.ms-excel,
text/xml,
text/csv,
image/png,
application/octet-stream

Response

Created parse job details

​
parse_id
string
required

The unique identifier for the parse job

This is the ID that can be used to track the status of the parse job. Used in the GET /documents/v2/parse/{parse_id} endpoint to retrieve the status and results of the parse job.

​
created_at
string
required

The creation date and time of the parse job.

The date is in RFC 3339 format.