POST
/
documents
/
v2
/
datasets
/
{dataset_id}
/
parse
cURL
curl --request POST \
  --url https://api.tensorlake.ai/documents/v2/datasets/{dataset_id}/parse \
  --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",
  "labels": {
    "priority": "high",
    "source": "email"
  }
}'
{
  "parse_id": "parse_id-12345",
  "created_at": "2023-10-01T12:00:00Z"
}
Use the Dataset’s configuration to parse a document and get parsed results in the Dataset. This endpoint allows you to submit a file for parsing using the settings defined in a specific dataset.

​
Using a file

When submitting a parse job to the dataset, you can provide the content of the file in one of three ways:
  1. file_id: The ID of a file that has been previously uploaded to the Upload File endpoint. This is the most common method.
  2. file_url: A publicly accessible URL that points to the file you want to parse. The API will download the file from this URL. Redirects are also supported, but the URL and the Location header must point to a file that is publicly accessible.
  3. raw_text: Raw text content, if you want to perform structured extraction from non-file sources; such as emails, HTML, CSV, XML, etc.

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
dataset_id
string
required

The ID of the dataset to parse

Body

application/json

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

Response

Dataset file parsed successfully

The response is of type object.