Split

Split Params
- Split Parameters
  - SplitParameters

Split Range

class SplitRange(server_response)

Split inference result.

Parameters:: server_response (dict[str, Any])

extract_from_input_source(input_source)

Apply the split range inference to a file and return a single extracted PDF.

Parameters:: input_source (LocalInputSource) – Local file to apply the inference to
Return type:: ExtractedPDF
Returns:: Extracted PDF

document_type: str: The document type, as identified on given classification values.

extraction_response: ExtractionResponse | None = None: The extraction response associated with the split.

page_range: list[int]: 0-based page indexes, where the first integer indicates the start page and the second integer indicates the end page.

Split Inference

class SplitInference(raw_response)

Split inference result.

Parameters:: raw_response (dict[str, Any])

file: InferenceFile: File info for the inference.

id: str: ID of the inference.

job: InferenceJob: Job the inference belongs to.

model: InferenceModel: Model info for the inference.

result: SplitResult: Result of a split inference.

Split Response

class SplitResponse(raw_response)

Represent a split inference response from Mindee V2 API.

Parameters:: raw_response (dict[str, Any])

classmethod get_result_slug()

Getter for the inference slug.

Return type:: str

inference: SplitInference: Inference object for split inference.

property raw_http: str: Displays the result of the raw response as json string.

Split Result

class SplitResult(raw_response)

Split result info.

Parameters:: raw_response (dict[str, Any])

extract_from_input_source(input_source)

Apply all the crops to a file and return a single extracted PDF.

Parameters:: input_source (LocalInputSource) – Input file
Return type:: SplitFiles