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Mindee

Mindee Crop API

Detect, isolate, and crop the document area inside a larger scanned image. Useful for cleaning up phone-captured documents prior to classification or extraction. Async enqueue/results pattern at /v2/products/crop/.

Documentation Provider Profile APIs.io OpenAPI GitHub

Mindee Crop API is one of 6 APIs that Mindee publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Document Parsing, Cropping, Preprocessing, and IDP. The published artifact set on APIs.io includes API documentation and an OpenAPI specification.

This API exposes 2 operations across 2 paths, and defines 26 schemas. It is described by OpenAPI 3.2.0, at version 2.0.0.

Requests are made against a single base URL, https://api-v2.mindee.net.

2 operations 2 paths 26 schemas 1 GET1 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
2.0.0
Server
https://api-v2.mindee.net
Authentication
API Key
Contact
Mindee
License
Proprietary
Resource Areas
1

Authentication & Security 1

Mindee Crop API declares 1 security scheme for authenticating requests. An API key is passed in the header as Authorization (APIKeyHeader). By default, every request must be authenticated.

Paths & Operations 2

Across 2 paths, the API surfaces 2 operations — 1 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.

Crop 2

Detect, crop, and isolate the document area inside a larger scanned image before further processing.

POST
/v2/products/crop/enqueue
Send A File For A Crop Utility Inference
Enqueue_Crop_Product_Inference_v2_products_crop_enqueue_post body → 202422429
GET
/v2/products/crop/results/{inference_id}
Get The Result Of A Completed Crop Product Inference
Get_Crop_Product_Result_v2_products_crop_results__inference_id__get 1 param → 200404422

Schemas 26

The contract defines 26 schemas that model the data the API accepts and returns. The most detailed are Job (11 properties), InferenceActiveOptions (7 properties), ExtractionInference-Output (6 properties), CropInference-Output (5 properties). Each schema is shown below with its type and property counts.

ErrorItem
object
Explicit details on a problem.
2 properties 2 required
ListField-Output
object
Field having a list of fields.
2 properties 1 required
CropResponse-Output
object
Response for a crop utility inference.
1 property 1 required
InferenceFile
object
File used for the inference.
4 properties 3 required
ExtractionResult-Output
object
Result of an extraction inference.
3 properties 1 required
JobResponse
object
Response for a Job.
1 property 1 required
ObjectField-Output
object
Field having a set of sub-fields.
3 properties 1 required
Rag
object
Metadata about the RAG operation.
1 property 1 required
CropResult-Output
object
Result of a crop utility inference.
1 property 1 required
DataSchemaActiveOption
object
Data schema options activated during the inference.
1 property 1 required
CropInference-Output
object
The inference result for a crop utility request.
5 properties 5 required
FieldConfidence
string
Confidence level of a field.
SimpleField
object
Field having a single value.
3 properties 1 required
InferenceModel
object
Model used for the inference.
1 property 1 required
FieldLocation
object
A field's location on the document.
2 properties 2 required
RawTextPage
object
Raw text extracted from a single page.
1 property 1 required
Job
object
Information on the processing of a file sent to the Mindee API.
11 properties 6 required
Status
string
Possible states of an operation.
InferenceActiveOptions
object
Options which were activated during the inference. Options can be activated or deactivated: By setting their default values on the Platform UI By explicitly se…
7 properties 7 required
RawText
object
Raw text extracted from all pages in the document.
1 property 1 required
ExtractionResponse-Output
object
Response for an extraction inference.
1 property 1 required
ErrorResponse
object
Error response detailing a problem. The format adheres to RFC 9457.
5 properties 4 required
ExtractionInference-Output
object
The inference result for an extraction request.
6 properties 6 required
WebhookResponse
object
Response from a webhook call.
5 properties 1 required
CropItem-Output
object
Result of a cropped document region with chained result.
3 properties 2 required
BaseJob
object
Base class for Job.
1 property 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

mindee-crop-api-openapi.yml Raw ↑

Other APIs Mindee publishes across the network.

Mindee Extraction API
AE Profile APIs.io
Mindee Classification API
AE Profile APIs.io
Mindee OCR API
AE Profile APIs.io
Mindee Split API
AE Profile APIs.io
Mindee Jobs API
AE Profile APIs.io
#Document Parsing#Cropping#Preprocessing#IDP
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API Details
ID
mindee:mindee-crop-api
Server
https://api-v2.mindee.net
Docs
https://docs.mindee.com/crop-models/crop-overview
Provider
Mindee
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