POST
/
documents
/
v2
/
read
cURL
curl --request POST \
  --url https://api.tensorlake.ai/documents/v2/read \
  --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",
  "parsing_options": {
    "table_output_mode": "html",
    "table_parsing_format": "tsr",
    "chunking_strategy": "none",
    "signature_detection": false,
    "remove_strikethrough_lines": false,
    "skew_detection": false,
    "disable_layout_detection": false,
    "ignore_sections": [],
    "cross_page_header_detection": false
  },
  "enrichment_options": {
    "table_summarization": false,
    "table_summarization_prompt": null,
    "figure_summarization": false,
    "figure_summarization_prompt": null
  },
  "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. The API will convert the document into markdown, and provide document layout information. 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.

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

Response

200
application/json

Created parse job details

The response is of type object.