def button(update, context):
global query
query = update.callback_query
query.answer()
query.edit_message_text(text="Selected Language is: {}".format(query.data))
configuration = cloudmersive_ocr_api_client.Configuration()
#Enter Your cloudmersive api key in place of os.environ.get(...........)
configuration.api_key['Apikey'] = os.environ.get("CLOUDMERSIVE_API", "")
api_instance = cloudmersive_ocr_api_client.ImageOcrApi(
cloudmersive_ocr_api_client.ApiClient(configuration))
try:
lang = query.data
api_response = api_instance.image_ocr_post(filename, language=lang)
confidence = api_response.mean_confidence_level
context.bot.send_message(chat_id=chat_id,
text="Confidence : " + str(confidence * 100) +
"% \nExtracted text:\n")
context.bot.send_message(chat_id=chat_id,
text=api_response.text_result)
except ApiException as e:
context.bot.send_message(
chat_id=chat_id,
text=
"Exception when calling ImageOcrApi->image_ocr_photo_to_text: %s\n"
% e)
try:
os.remove('testing.jpg')
except Exception:
pass
return button
def start(update, context):
file_id = update.message.photo[-1].file_id
newFile = context.bot.get_file(file_id)
newFile.download("test.jpg")
update.message.reply_text("Got Image")
filename = "test.jpg"
configuration = cloudmersive_ocr_api_client.Configuration()
api = os.environ.get("API_KEY")
configuration.api_key['Apikey'] = api
api_instance = cloudmersive_ocr_api_client.ImageOcrApi(
cloudmersive_ocr_api_client.ApiClient(configuration))
api_response = api_instance.image_ocr_photo_to_text(filename)
result = api_response.text_result + "\n"
url = "https://www.google.com/search?q=" + api_response.text_result
update.message.reply_text(f'{result}<a href="{url}">Click here</a>',
parse_mode=ParseMode.HTML)
def ocr(imagefile):
# create an instance of the API class
api_instance = cloudmersive_ocr_api_client.ImageOcrApi(
cloudmersive_ocr_api_client.ApiClient(configuration))
image_file = imagefile # file | Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.
#language = '' # 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_photo_to_text(image_file,
language='HIN')
print(api_response.text_result)
except ApiException as e:
print(
"Exception when calling ImageOcrApi->image_ocr_image_lines_with_location: %s\n"
% e)
from telethon.tl import types
from telethon.tl.types import *
from julia import *
from julia.events import register
client = MongoClient()
client = MongoClient(MONGO_DB_URI)
db = client["missjuliarobot"]
approved_users = db.approve
configuration = cloudmersive_ocr_api_client.Configuration()
configuration.api_key["Apikey"] = VIRUS_API_KEY
api_instance = cloudmersive_ocr_api_client.ImageOcrApi(
cloudmersive_ocr_api_client.ApiClient(configuration))
async def is_register_admin(chat, user):
if isinstance(chat, (types.InputPeerChannel, types.InputChannel)):
return isinstance(
(await
tbot(functions.channels.GetParticipantRequest(chat,
user))).participant,
(types.ChannelParticipantAdmin, types.ChannelParticipantCreator),
)
if isinstance(chat, types.InputPeerChat):
ui = await tbot.get_peer_id(user)
ps = (await tbot(functions.messages.GetFullChatRequest(chat.chat_id)
)).full_chat.participants.participants
return isinstance(
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'] = 'c9331947-3dec-4d02-a00b-26275f6b4643'
# 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 = 'newprenk.png' # file | Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.
language = 'English' # 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 = 'Auto' # 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)
print(api_response)
except ApiException as e:
print("Exception when calling ImageOcrApi->image_ocr_image_lines_with_location: %s\n" % e)