cloudmersive_ocr_api_client

The powerful Optical Character Recognition (OCR) APIs let you convert scanned images of pages into recognized text.

This Python package provides a native API client for Cloudmersive OCR

• API version: v1
• Package version: 4.0.1
• Build package: io.swagger.codegen.languages.PythonClientCodegen

Requirements.

Python 2.7 and 3.4+

Installation & Usage

pip install

If the python package is hosted on Github, you can install directly from Github

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import cloudmersive_ocr_api_client 

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import cloudmersive_ocr_api_client

Getting Started

Please follow the installation procedure and then run the following:

from __future__ import print_function
import time
import cloudmersive_ocr_api_client
from cloudmersive_ocr_api_client.rest import ApiException
from pprint import pprint

# Configure API key authorization: Apikey
configuration = cloudmersive_ocr_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'

# create an instance of the API class
api_instance = cloudmersive_ocr_api_client.ImageOcrApi(cloudmersive_ocr_api_client.ApiClient(configuration))
image_file = '/path/to/file.txt' # file | Image file to perform OCR on.  Common file formats such as PNG, JPEG are supported.
language = 'language_example' # str | Optional, language of the input document, default is English (ENG).  Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish) (optional)
preprocessing = 'preprocessing_example' # str | Optional, preprocessing mode, default is 'Auto'.  Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended). (optional)

try:
    # Convert a scanned image into words with location
    api_response = api_instance.image_ocr_image_lines_with_location(image_file, language=language, preprocessing=preprocessing)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling ImageOcrApi->image_ocr_image_lines_with_location: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Documentation For Models

• BusinessCardRecognitionResult
• FieldResult
• FormDefinitionTemplate
• FormFieldDefinition
• FormRecognitionResult
• FormTableColumnDefinition
• FormTableDefinition
• GetPageAngleResult
• ImageToLinesWithLocationResult
• ImageToTextResponse
• ImageToWordsWithLocationResult
• OcrLineElement
• OcrPageResult
• OcrPageResultWithLinesWithLocation
• OcrPageResultWithWordsWithLocation
• OcrPhotoTextElement
• OcrWordElement
• PdfToLinesWithLocationResult
• PdfToTextResponse
• PdfToWordsWithLocationResult
• PhotoToWordsWithLocationResult
• Point
• ReceiptLineItem
• ReceiptRecognitionResult
• TableCellResult
• TableResult
• TableRowResult

Documentation For Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header

Author