Roboflow Easy Ocr API
The Easy Ocr API from Roboflow — 1 operation(s) for easy ocr.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Roboflow Easy Ocr API
version: 1.3.8
contact:
name: Roboflow Inc.
url: https://roboflow.com/contact
email: help@roboflow.com
license:
name: Apache 2.0
url: https://www.apache.org/licenses/LICENSE-2.0.html
termsOfService: https://roboflow.com/terms
description: 'Operations tagged Easy Ocr across 2 of this provider''s published API definitions: roboflow-easy-ocr-api-openapi.yml, roboflow-inference-openapi.json. Each path carries the servers of the definition it was published in.'
servers:
- url: https://serverless.roboflow.com
description: Base URL declared by the provider in apis.yml (roadmap#122).
tags:
- name: Easy Ocr
paths:
/easy_ocr/ocr:
post:
summary: EasyOCR OCR response
description: Run the EasyOCR model to retrieve text in an image.
operationId: easy_ocr_retrieve_text_easy_ocr_ocr_post
parameters:
- name: api_key
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Roboflow API Key that will be passed to the model during initialization for artifact retrieval
title: Api Key
description: Roboflow API Key that will be passed to the model during initialization for artifact retrieval
- name: countinference
in: query
required: false
schema:
anyOf:
- type: boolean
- type: 'null'
title: Countinference
- name: service_secret
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Service Secret
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/EasyOCRInferenceRequest'
responses:
'200':
description: Successful Response
content:
application/json:
schema:
anyOf:
- $ref: '#/components/schemas/OCRInferenceResponse'
- type: array
items:
$ref: '#/components/schemas/OCRInferenceResponse'
title: Response Easy Ocr Retrieve Text Easy Ocr Ocr Post
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
tags:
- Easy Ocr
servers:
- url: https://serverless.roboflow.com
description: Base URL declared by the provider in apis.yml (roadmap#122).
components:
schemas:
ValidationError:
properties:
loc:
items:
anyOf:
- type: string
- type: integer
type: array
title: Location
msg:
type: string
title: Message
type:
type: string
title: Error Type
type: object
required:
- loc
- msg
- type
title: ValidationError
InferenceRequestImage:
properties:
type:
type: string
title: Type
description: The type of image data provided, one of 'url', 'base64', or 'numpy'
examples:
- url
value:
anyOf:
- {}
- type: 'null'
title: Value
description: Image data corresponding to the image type, if type = 'url' then value is a string containing the url of an image, else if type = 'base64' then value is a string containing base64 encoded image data, else if type = 'numpy' then value is binary numpy data serialized using pickle.dumps(); array should 3 dimensions, channels last, with values in the range [0,255].
examples:
- http://www.example-image-url.com
type: object
required:
- type
title: InferenceRequestImage
description: "Image data for inference request.\n\nAttributes:\n type (str): The type of image data provided, one of 'url', 'base64', or 'numpy'.\n value (Optional[Any]): Image data corresponding to the image type."
InferenceResponseImage:
properties:
width:
type: integer
title: Width
description: The original width of the image used in inference
height:
type: integer
title: Height
description: The original height of the image used in inference
type: object
required:
- width
- height
title: InferenceResponseImage
description: "Inference response image information.\n\nAttributes:\n width (int): The original width of the image used in inference.\n height (int): The original height of the image used in inference."
ObjectDetectionPrediction:
properties:
x:
type: number
title: X
description: The center x-axis pixel coordinate of the prediction
y:
type: number
title: Y
description: The center y-axis pixel coordinate of the prediction
width:
type: number
title: Width
description: The width of the prediction bounding box in number of pixels
height:
type: number
title: Height
description: The height of the prediction bounding box in number of pixels
confidence:
type: number
title: Confidence
description: The detection confidence as a fraction between 0 and 1
class:
type: string
title: Class
description: The predicted class label
class_confidence:
anyOf:
- type: number
- type: 'null'
title: Class Confidence
description: The class label confidence as a fraction between 0 and 1
class_id:
type: integer
title: Class Id
description: The class id of the prediction
tracker_id:
anyOf:
- type: integer
- type: 'null'
title: Tracker Id
description: The tracker id of the prediction if tracking is enabled
detection_id:
type: string
title: Detection Id
description: Unique identifier of detection
parent_id:
anyOf:
- type: string
- type: 'null'
title: Parent Id
description: Identifier of parent image region. Useful when stack of detection-models is in use to refer the RoI being the input to inference
type: object
required:
- x
- y
- width
- height
- confidence
- class
- class_id
title: ObjectDetectionPrediction
description: "Object Detection prediction.\n\nAttributes:\n x (float): The center x-axis pixel coordinate of the prediction.\n y (float): The center y-axis pixel coordinate of the prediction.\n width (float): The width of the prediction bounding box in number of pixels.\n height (float): The height of the prediction bounding box in number of pixels.\n confidence (float): The detection confidence as a fraction between 0 and 1.\n class_name (str): The predicted class label.\n class_confidence (Union[float, None]): The class label confidence as a fraction between 0 and 1.\n class_id (int): The class id of the prediction"
HTTPValidationError:
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
type: array
title: Detail
type: object
title: HTTPValidationError
OCRInferenceResponse:
properties:
result:
type: string
title: Result
description: The combined OCR recognition result.
image:
anyOf:
- $ref: '#/components/schemas/InferenceResponseImage'
- type: 'null'
description: Metadata about input image dimensions
predictions:
anyOf:
- items:
$ref: '#/components/schemas/ObjectDetectionPrediction'
type: array
- type: 'null'
title: Predictions
description: List of objects detected by OCR
time:
type: number
title: Time
description: The time in seconds it took to produce the inference including preprocessing.
parent_id:
anyOf:
- type: string
- type: 'null'
title: Parent Id
description: Identifier of parent image region. Useful when stack of detection-models is in use to refer the RoI being the input to inference
type: object
required:
- result
- time
title: OCRInferenceResponse
description: "OCR Inference response.\n\nAttributes:\n result (str): The combined OCR recognition result.\n predictions (List[ObjectDetectionPrediction]): List of objects detected by OCR\n time (float): The time in seconds it took to produce the inference including preprocessing"
EasyOCRInferenceRequest:
properties:
id:
type: string
title: Id
api_key:
anyOf:
- type: string
- type: 'null'
title: Api Key
description: Roboflow API Key that will be passed to the model during initialization for artifact retrieval
usage_billable:
type: boolean
title: Usage Billable
default: true
start:
anyOf:
- type: number
- type: 'null'
title: Start
source:
anyOf:
- type: string
- type: 'null'
title: Source
source_info:
anyOf:
- type: string
- type: 'null'
title: Source Info
stream_pipeline_context_id:
anyOf:
- type: string
- type: 'null'
title: Stream Pipeline Context Id
description: Internal stream-pipeline frame pairing id. Not part of the public API.
disable_model_monitoring:
anyOf:
- type: boolean
- type: 'null'
title: Disable Model Monitoring
description: If true, disables model monitoring for this request
default: false
image:
anyOf:
- items:
$ref: '#/components/schemas/InferenceRequestImage'
type: array
- $ref: '#/components/schemas/InferenceRequestImage'
title: Image
easy_ocr_version_id:
anyOf:
- type: string
- type: 'null'
title: Easy Ocr Version Id
default: english_g2
model_id:
anyOf:
- type: string
- type: 'null'
title: Model Id
language_codes:
anyOf:
- items:
type: string
type: array
- type: 'null'
title: Language Codes
default:
- en
quantize:
anyOf:
- type: boolean
- type: 'null'
title: Quantize
description: Quantized models are smaller and faster, but may be less accurate and won't work correctly on all hardware.
default: false
type: object
required:
- id
- image
title: EasyOCRInferenceRequest
description: "EasyOCR inference request.\n\nAttributes:\n api_key (Optional[str]): Roboflow API Key."
x-refined-from:
- roboflow-easy-ocr-api-openapi.yml
- roboflow-inference-openapi.json