V2 Utilities

• V2 Client Options
  • Base Parameters
    • BaseParameters
• V2 Error
  • Mindee API V2 Error
    • MindeeAPIV2Error
  • Mindee HTTP Error V2
    • MindeeHTTPErrorV2
• File Operations
  • Crop
    • extract_multiple_crops()
    • extract_single_crop()
  • Crop Files
    • CropFiles
  • Split
    • extract_multiple_splits()
    • extract_single_split()
  • Split Files
    • SplitFiles
• V2 Mindee HTTP
  • Mindee API V2
    • MindeeAPIV2
  • Response Validation V2
    • is_valid_get_response()
    • is_valid_post_response()
• V2 Parsing
  • Inference V2
    • Inference Field
    • Base Inference
    • Base Response
    • Inference Active Options
    • Inference File
    • Inference Model
    • RAG Metadata
    • Raw Text
    • Raw Text Page
  • V2 Parsing Error
    • Error Item
    • Error Response
  • V2 Parsing Job
    • Job
    • Job Response
    • Job Webook
  • V2 Search
    • Model Webhook
    • Pagination
    • Search Model
    • Search Models
    • Search Response
• V2 Products
  • Classification
    • Classification Params
    • Classification Classifier
    • Classification Inference
    • Classification Response
    • Classification Result
  • Crop
    • Crop Params
    • Crop Item
    • Crop Inference
    • Crop Response
    • Crop Result
  • Extraction
    • Extraction Params
    • Extraction Inference
    • Extraction Response
    • Extraction Result
  • OCR
    • OCR Params
    • OCR Page
    • OCR Word
    • Ocr Inference
    • OCR Response
    • OCR Result
  • Split
    • Split Params
    • Split Range
    • Split Inference
    • Split Response
    • Split Result

Client V2

class Client(api_key=None, http_client=None)

Mindee API Client.

See: https://docs.mindee.com/

Parameters:

• api_key (str | None)

• http_client (Client | None)

close()

Closes the underlying HTTP client.

Return type:

None

enqueue(input_source, params)

Enqueues a document to a given model.

Parameters:

• input_source (LocalInputSource | URLInputSource) – The document/source file to use. Can be local or remote.

• params (BaseParameters) – Parameters to set when sending a file.

Return type:

JobResponse

Returns:

A valid inference response.

enqueue_and_get_result(response_type, input_source, params)

Enqueues to an asynchronous endpoint and automatically polls for a response.

Parameters:

• input_source (LocalInputSource | URLInputSource) – The document/source file to use. Can be local or remote.

• params (BaseParameters) – Parameters to set when sending a file.

• response_type (type[TypeVar(TypeBaseResponse, bound= BaseResponse)]) – The product class to use for the response object.

Return type:

TypeVar(TypeBaseResponse, bound= BaseResponse)

Returns:

A valid inference response.

get_job(job_id)

Get the status of an inference that was previously enqueued.

Can be used for polling.

Parameters:

job_id (str) – UUID of the job to retrieve.

Return type:

JobResponse

Returns:

A job response.

get_result(response_type, inference_id)

Get the result of an inference that was previously enqueued.

The inference will only be available after it has finished processing.

Parameters:

• inference_id (str) – UUID of the inference to retrieve.

• response_type (type[TypeVar(TypeBaseResponse, bound= BaseResponse)]) – Class of the product to instantiate.

Return type:

TypeVar(TypeBaseResponse, bound= BaseResponse)

Returns:

An inference response.

get_result_from_url(response_type, url)

Get the result of an inference that was previously enqueued by its URL.

Parameters:

• response_type (type[TypeVar(TypeBaseResponse, bound= BaseResponse)]) – Type of the response to return.

• url (str) – URL of the inference to retrieve.

Return type:

TypeVar(TypeBaseResponse, bound= BaseResponse)

Returns:

The result of the inference.

search_models(name=None, model_type=None)

Get a list of models matching the provided name and type.

Parameters:

• name (str | None, default: None) – Name of the model to filter by.

• model_type (str | None, default: None) – Type of the model to filter by.

Return type:

SearchResponse

Returns:

A list of models matching the provided criteria.