Method
extractDocumentData POST
Copy POST

Extracts data from a document.

Arguments:

REQUIRED KEY TYPE DESCRIPTION
No document bytes The document to extract data from. One of document or doc_id must be provided.
No docId str A unique Docstore string identifier for the document. One of document or doc_id must be provided.
No documentProcessingConfig DocumentProcessingConfig The document processing configuration.
KEY TYPE Description
documentType DocumentType Type of document. Can be one of Text, Tables and Forms, Embedded Images, etc. If not specified, type will be decided automatically.
convertToMarkdown bool Whether to convert extracted text to markdown. Defaults to False. This option only takes effect when extract_bounding_boxes is True.
removeWatermarks bool Whether to remove watermarks. By default, it will be decided automatically based on the OCR mode and the document type. This option only takes effect when extract_bounding_boxes is True.
highlightRelevantText bool Whether to extract bounding boxes and highlight relevant text in search results. Defaults to False.
maskPii bool Whether to mask personally identifiable information (PII) in the document text/tokens. Defaults to False.
useFullOcr bool Whether to perform full OCR. If True, OCR will be performed on the full page. If False, OCR will be performed on the non-text regions only. By default, it will be decided automatically based on the OCR mode and the document type. This option only takes effect when extract_bounding_boxes is True.
extractBoundingBoxes bool Whether to perform OCR and extract bounding boxes. If False, no OCR will be done but only the embedded text from digital documents will be extracted. Defaults to False.
ocrMode OcrMode OCR mode. There are different OCR modes available for different kinds of documents and use cases. This option only takes effect when extract_bounding_boxes is True.
removeHeaderFooter bool Whether to remove headers and footers. Defaults to False. This option only takes effect when extract_bounding_boxes is True.
No startPage int The starting page to extract data from. Pages are indexed starting from 0. If not provided, the first page will be used.
No endPage int The last page to extract data from. Pages are indexed starting from 0. If not provided, the last page will be used.
No returnExtractedPageText bool Specifies whether to include a list of extracted text for each page in the response. Defaults to false if not provided.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY TYPE DESCRIPTION
success Boolean true if the call succeeded, false if there was an error
result DocumentData
KEY TYPE Description
docId str Unique Docstore string identifier for the document.
mimeType str The mime type of the document.
pageCount int The number of pages for which the data is available. This is generally same as the total number of pages but may be less than the total number of pages in the document if processing is done only for selected pages.
totalPageCount int The total number of pages in the document.
extractedText str The extracted text in the document obtained from OCR.
embeddedText str The embedded text in the document. Only available for digital documents.
pages list List of embedded text for each page in the document. Only available for digital documents.
tokens list List of extracted tokens in the document obtained from OCR.
metadata list List of metadata for each page in the document.
pageMarkdown list The markdown text for the page.
extractedPageText list List of extracted text for each page in the document obtained from OCR. Available when return_extracted_page_text parameter is set to True in the document data retrieval API.
augmentedPageText list List of extracted text for each page in the document obtained from OCR augmented with embedded links in the document.

Exceptions:

TYPE WHEN
DataNotFoundError

docId is not found.
Language:

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