[{"child":[],"type":"css","text":"@import '/static/less/ncp.less';\r\n@import '/static/less/asset.less';\r\n\r\ndiv.full {\r\n width: 100%!important;\r\n margin:0!important;\r\n &.bg {\r\n background-color: @c-bg;\r\n }\r\n}\r\n\r\nsection .row .ocr-process {\r\n h4 { font-weight: 600; }\r\n p { color: #707070; }\r\n}\r\n\r\n@media (max-width: @screen-md-max) {\r\n .md-pb-80 {\r\n padding-bottom: 80px!important;\r\n } \r\n}\r\n\r\n@media (min-width: @screen-lg-min) {\r\n section .row .ocr-process {\r\n h4 { font-size: 22px; }\r\n }\r\n section [enum] {\r\n text-align: left!important;\r\n }\r\n}\r\n\r\n@media (min-width: @screen-xl-min) {\r\n section .row .ocr-process {\r\n h4 { font-size: 24px; }\r\n }\r\n}\r\n","value":"/* font */\n/* colors */\n/*\n0 : 모바일 상품 상세 상단에 < 네모 컬러\n1 : 상품목록아이템 상단 바\n2 : 스크롤메뉴 비활성화 컬러\n*/\n/* button */\n/*--------------------------------------------------------------------------------------------------------------\n * Style\n *--------------------------------------------------------------------------------------------------------------*/\n.flex-vhm {\n display: flex;\n justify-content: space-between;\n align-items: center;\n}\n.flex-hm {\n display: flex;\n justify-content: space-between;\n}\n.flex-vm {\n display: flex;\n align-items: center;\n}\n/*--------------------------------------------------------------------------------------------------------------\n * Template\n *--------------------------------------------------------------------------------------------------------------*/\ndiv.full {\n width: 100%!important;\n margin: 0!important;\n}\ndiv.full.bg {\n background-color: #f6f7f8;\n}\nsection .row .ocr-process h4 {\n font-weight: 600;\n}\nsection .row .ocr-process p {\n color: #707070;\n}\n@media (max-width: 991px) {\n .md-pb-80 {\n padding-bottom: 80px!important;\n }\n}\n@media (min-width: 992px) {\n section .row .ocr-process h4 {\n font-size: 22px;\n }\n section [enum] {\n text-align: left!important;\n }\n}\n@media (min-width: 1260px) {\n section .row .ocr-process h4 {\n font-size: 24px;\n }\n}\n","uId":"15979778639111","active":false},{"child":[],"type":"tab","idName":"","className":"col-4","data":[{"link":"","text":"Features","blank":false},{"link":"function","title":"","blank":false,"text":"Details"},{"link":"price","title":"","blank":false,"text":"Price"},{"link":"${guideUrl}/en/ocr-ocr-1-1","title":"","blank":true,"text":"Guide"}],"uId":"15698302043511","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"### Recognizes document and precisely extracts text and data in specified areas\nDefine an associated, post-processing workflow to improve your work efficiency.\n","uId":"15698302238323","useYn":"Y","active":false},{"child":[{"child":[{"child":[],"type":"image","idName":"","className":"col-2","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/kr_ocr_375_01@2x_1600066087981.png","md":"https://xv-ncloud.pstatic.net/images/product/kr_ocr_768_01@2x_1600066087934.png","lg":"https://xv-ncloud.pstatic.net/images/product/kr_ocr_1024_01@2x_1600066087858.png","xl":"https://xv-ncloud.pstatic.net/images/product/kr_ocr_1600_01@2x_1600066087758.png"},"useYn":"Y","uId":"15970400848785","expandYn":"N","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"

Precise Data Extraction

","useYn":"Y","uId":"15970400783734","active":false},{"child":[],"type":"text","text":"Optical character recognition (OCR) is a technique for locating and recognizing the characters in an image or photo. The OCR service features a unique set of character detection techniques to efficiently recognize various types of characters. You can easily create a template and quickly extract the characters you need by defining a selection area.","useYn":"Y","uId":"15970401243667","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"15970400647523","expandYn":"N","active":false}],"type":"div","idName":"","className":"row pt-0","text":"","useYn":"Y","uId":"15970400564302","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"159704197715831","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"

Differentiated OCR Model

","useYn":"Y","uId":"159704073498511","active":false},{"child":[],"type":"text","text":"Utilizing Naver’s advanced AI technology, the OCR service features a high-performance OCR model optimized for major business purposes. The languages for which character recognition is provided are Korean, English, and Japanese, and handwriting recognition is supported in Korean and Japanese.","useYn":"Y","uId":"159704073498512","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159704073498510","expandYn":"N","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"

World-class recognition accuracy

","useYn":"Y","uId":"159704078344515","active":false},{"child":[],"type":"text","text":"CLOVA OCR provides a high level of accuracy based on high-performance AI models such as circularly curved or slanted characters and handwriting recognition by analyzing document layout and estimating the reading order direction. The most authoritative global challenge in the OCR field, ICDAR 2019, ranked 1st in four fields, and CLOVA OCR, which has unrivaled technology such as selection of papers from CVPR and ICCV International Society, can be easily used through the Naver Cloud Platform.","useYn":"Y","uId":"159704078344516","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159704078344414","expandYn":"N","active":false}],"type":"div","idName":"","className":"row bottom","text":"","useYn":"Y","uId":"15970407349859","expandYn":"N","active":false},{"child":[],"type":"custom","text":"

","useYn":"Y","uId":"159704209617632","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"

Automated Document Process and Post-processing

","useYn":"Y","uId":"159704086457622","active":false},{"child":[],"type":"text","text":"With the OCR service, automated classification of documents without user intervention becomes available for documents according to the verified similarity to the preregistered templates, allowing you to design a more efficient workflow.\nThe CLOVA OCR service features automated verification of the recognized values in the text, which decreases repeated steps required for manual verification and increases the reliability of the resulting document. Also, by linking it to other useful services, such as Papago, OCR provides you with unique features.","useYn":"Y","uId":"159704086457623","active":false}],"type":"div","idName":"","className":"col-2","text":"","useYn":"Y","uId":"159704086457621","expandYn":"N","active":false},{"child":[],"type":"image","idName":"","className":"col-2 md-pb-80","alt":"","data":{"sm":"https://xv-ncloud.pstatic.net/images/product/en-ocr-375-02@2x_1600166635394.png","md":"https://xv-ncloud.pstatic.net/images/product/en-ocr-768-02@2x_1600166635378.png","lg":"https://xv-ncloud.pstatic.net/images/product/en-ocr-1024-02@2x_1600166635363.png","xl":"https://xv-ncloud.pstatic.net/images/product/en-ocr-1600-02@2x_1600166635330.png"},"useYn":"Y","uId":"159704086457624","expandYn":"N","active":false}],"type":"div","idName":"","className":"row no-reverse bottom","text":"","useYn":"Y","uId":"159704086457620","expandYn":"N","active":false}],"type":"div","idName":"","className":"function-row odd","text":"","useYn":"Y","uId":"15970400328911","expandYn":"N","active":false}],"type":"section","idName":"","className":"wrapper","uId":"15698305145454","useYn":"Y","active":false}],"type":"div","idName":"","className":"full bg","text":"","useYn":"Y","uId":"15984117965531","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"### Details\n","uId":"15698315503308","useYn":"Y","active":false},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"

OCR Process

","useYn":"Y","uId":"159704154480429","active":false},{"child":[],"type":"text","text":"Our OCR is more than a simple character recognition service. It classifies documents by type and precisely extracts textual information in structured formats.
\nAfter receiving the image data (photo) from the user using the RESTful API method, Clova OCR analyzes the data and provides the extracted text in JSON format.","useYn":"Y","uId":"159704154480430","active":false}],"type":"div","idName":"","className":"ocr-process","text":"","useYn":"Y","uId":"159704154480428","active":false},{"child":[],"type":"image","idName":"","className":"mt-30","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img-en-ocr-1600-03@2x_1614831136780.png"},"useYn":"Y","uId":"159704154480427","expandYn":"N","active":false}],"type":"div","idName":"","className":"row","text":"","useYn":"Y","uId":"159704154480426","expandYn":"N","active":false},{"child":[],"type":"title","idName":"","className":"","text":"#### Provided Services\nAfter receiving the image data (photo) from the user in RESTful API method, OCR analyzes the data and provides the extracted text in JSON format.\n","uId":"15698316457429","useYn":"Y","active":false},{"child":[],"type":"table","idName":"","className":"","legend":"","text":"\n Init-Script\n CategoryContentText Detection for Images\n Currently, JPG, PNG, PDF and TIFF image formats are supported, and more supported image types will continue to be added in\n the future.\n OCR Templates\n On the OCR template, you can define a selection area for text extraction to extract the selected textual\n information and receive it in a formalized document. You can utilize the OCR builder to generate various OCR\n templates and distribute them.\n Verification of Extracted Data\n An end-point for verification linkage is provided to facilitate linking to an external server for the textual\n data of processed images that require verification.\n Multi-box\n It provides a multi-box (eg postal code) function that recognizes a combination of several text entry boxes.\n Check box\n It provides a check box function to recognize the check mark.\n Domain copy\n It is possible to create a new domain and change the plan by copying the settings to the domain and maintaining\n the existing template.\n \n","uId":"156983167095310","useYn":"Y","vat":"N","active":false},{"child":[],"type":"text","text":"※ The image file size is limited to 20MB or smaller.\n","uId":"156983180499311","useYn":"Y","active":false},{"child":[],"type":"title","idName":"","className":"","text":"#### Template OCR model-specific functions provided\n","uId":"15850126748221","useYn":"Y","active":false},{"child":[],"type":"table","idName":"","className":"","legend":"","text":"\n Init-Script\n Recognition ModelBasicPremiumDescriptionModel Recognition RateTypeface and handwriting recognitionTypeface and handwriting recognitionProviding high-performance OCR recognition model optimized for major business applicationsRecommened templatesCertificate, fixed form template\n Handwritten application form,
\n Registration form,
\n Financial documents, etc.\n Awareness Templates LayoutProvidedProvidedSetting recognition areaMulti BoNot providedProvidedControlling number recognition area by combining single box templatesCheck BoxNot providedProvidedProviding recognition in the form of check bField typeNot providedProvidedSetting the type of recognition values as numbers only\n","uId":"15850132622432","useYn":"Y","vat":"","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Document OCR \nThe CLOVA AI technology is applied based on extensive learning data to extract the document's key features.
\nReceipt, credit card, business registration certificate, business card, and ID features are provided. The Document OCR model will be expanded in the future. \n\n","useYn":"Y","uId":"16146726268951","active":false,"expandYn":"N"},{"child":[{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Receipt\nThe type and pattern of receipts are automatically analyzed to extract information, such as store information, payment details, and payment method, that is included in the receipt.\n","useYn":"Y","active":false,"uId":"16146726310684"},{"child":[],"type":"image","idName":"","className":"img","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img-01-1600-en@2x_1614762125546.png"},"useYn":"Y","active":false,"uId":"16146726310685"}],"type":"div","idName":"","className":"col","text":" ","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","active":false,"uId":"16146726310683","expandYn":"N"},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Credit card\nVarious types of cards are recognized, and card numbers and expiration dates are extracted.","useYn":"Y","active":false,"uId":"16146726310687"},{"child":[],"type":"image","idName":"","className":"img","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img-02-1600-en@2x_1614762136235.png"},"useYn":"Y","active":false,"uId":"16146726310688"}],"type":"div","idName":"","className":"col","text":" ","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","active":false,"uId":"16146726310686","expandYn":"N"},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Business registration certificate\nBusiness registration certificate documents are automatically analyzed to extract information, such as registration number, corporate name, and CEO, that is included in the business registration certificate.","useYn":"Y","active":false,"uId":"161467263106810"},{"child":[],"type":"image","idName":"","className":"img","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img-06-1600-en@2x_1614762147366.png"},"useYn":"Y","active":false,"uId":"161467263106811"}],"type":"div","idName":"","className":"col","text":" ","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","active":false,"uId":"16146726310689","expandYn":"N"},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"#### Business card\nInformation included in the business card is extracted. Recognition of business cards in Korean, Japanese, and English are supported.","useYn":"Y","active":false,"uId":"161467263106813"},{"child":[],"type":"image","idName":"","className":"img","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img-07-375-en@2x_1616380329910.png"},"useYn":"Y","active":false,"uId":"161467263106814","expandYn":"Y"}],"type":"div","idName":"","className":"col","text":" ","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","active":false,"uId":"161467263106812","expandYn":"N"}],"type":"div","idName":"","className":"","text":"","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","uId":"16146726310642","active":false,"expandYn":"N"}],"type":"div","idName":"","className":"","text":"","data":{"sm":"","md":"","lg":"","xl":""},"useYn":"Y","active":false,"uId":"16148189744153"},{"child":[],"type":"title","idName":"","className":"","text":"#### ID\nID OCR extracts items from various types of IDs, including resident registration certificate (old, new), driver's license (old, new), passport (Korean) and alien registration card, to provide information. \n","useYn":"Y","uId":"161467274571217","active":false},{"child":[],"type":"image","idName":"","className":"img","alt":"","data":{"sm":"","md":"","lg":"","xl":"https://xv-ncloud.pstatic.net/images/product/img_10_1600_kr@2x_1631091090840.png"},"useYn":"Y","active":false,"uId":"16309041515223","expandYn":"N"},{"child":[],"type":"title","idName":"","className":"","text":"#### Medical expense receipt","useYn":"N","uId":"161467276617719","active":false},{"child":[],"type":"text","text":"Key medical information is extracted from medical expense receipts and detailed statements.
\nMedical expense receipt: Key information, such as medical department of examination, diagnosis-related group number, receipt number, payment amount, and business registration number, is extracted from medical expense receipts that are in tables. Detailed statement of medical expenses: Key item values, such as patient name, examination period, patient classification, examination item, examination date, co-payment amount, and non-benefit, are extracted.","useYn":"N","active":false,"uId":"161467277368020"},{"child":[],"type":"title","idName":"","className":"","text":"#### CLOVA OCR Model Guide","uId":"156983396500716","useYn":"Y","active":false},{"child":[],"type":"custom","text":"

\n By directly designating the area to extract information as a template, we provide a Template OCR model useful for\n managing the same type of document.\n

\n If you need help in improving the recognition rate of a specific template, improving OCR performance, or creating a\n template, please contact\n technical support.

\n Document OCR models will be added continuously. Features provided are different depending on the specialized model\n in use. For details on the specialized models provided, refer to\n [CLOVA Special Model API Reference].\n

\n","uId":"156983397636917","useYn":"Y","active":false},{"child":[],"type":"title","idName":"","className":"","text":"#### Use Cases\nThe OCR can be utilized for various applications and services.","uId":"15947062736031","useYn":"Y","active":false},{"child":[],"type":"custom","text":"

\n For example, you can classify the various tickets or receipts you have received using a template, and utilize the\n detected or extracted information by linking it with internal systems.\n

\n You can also automatically classify the invoices you have received without manually sorting them.\n

Using OCR, you can develop a service for detecting various documents in regular formats.

\n","uId":"15947063533752","useYn":"Y","active":false}],"type":"section","idName":"","className":"function wrapper","uId":"15698315366577","useYn":"Y","expandYn":"N","active":false},{"child":[{"child":[],"type":"title","idName":"","className":"","text":"### Pricing Information\n\n","uId":"156983417096819","useYn":"Y","active":false},{"child":[],"type":"text","text":"#### Document OCR\n","useYn":"Y","uId":"161467265510415","active":false,"expandYn":"N"},{"child":[],"type":"text","text":"Personal and sensitive information may be included, so Document OCR is provided after an advance application and approval process. How to apply
\nThe price of each specialized model varies depending on the characteristics of the model. For accurate price guidance and usage, please contact us through [Inquiry/Clova AI] Resale Inquiry.\n","useYn":"Y","uId":"161467265877616","active":false,"expandYn":"N"},{"child":[],"type":"text","text":"#### General OCR","useYn":"Y","uId":"15773463409791","active":false},{"child":[],"type":"table","idName":"","className":"","legend":"","text":"\n General OCR\n Recognition ModelService PlanUnitUsage FeeremarksPremiumGeneral\n Number of usage\n \n Text extraction\n \n KRW 3 / request\n \n Free service up to 100 requests(Text) / month\n \n Table extraction\n \n KRW 22 / request\n \n Free service up to 100 requests(Table) / month\n \n","uId":"156983420353220","useYn":"Y","vat":"Y","active":false},{"child":[],"type":"custom","text":"

When using table extraction, text extraction is called at the same time, and 25 KRW per case will be charged.

\n If you want to request the CLOVA OCR service in large quantities (more than 1 million general OCR requests per month\n and more than 50,000 template OCR requests per month), please inquire us at\n Customer Support.\n

\n","uId":"156983446164121","useYn":"Y","active":false},{"child":[],"type":"text","text":"#### Template OCR","useYn":"Y","uId":"15773463759532","active":false},{"child":[],"type":"table","idName":"","className":"","legend":"","text":"\n Init-Script\n Recongnition ModelService Plan\n Plan
\n Monthly usage fee\n Default usage limitAdditional API usage
(exceeding the default limit)BasicFree\n Free\n \n Up to 300 requests\n -BasicKRW 35,000\n 1,000 requests\n KRW 60 / request
StandardKRW 350,000\n 10,000 requests\n KRW 35 / request
AdvancedKRW 950,000\n 30,000 requests\n KRW 33 / request
PremiumBasicKRW 450,000\n 7,500 requests\n KRW 75 / request
AdvancedKRW 1,100,000\n 30,000 requests\n KRW 43 / request
\n","uId":"15773463828693","useYn":"Y","active":false,"vat":"Y"},{"child":[],"type":"custom","text":"

\n Template OCR's one-time API call criterion is the number of recognition areas of the template (Max 50) set by the\n builder. If this is exceeded, additional charges will apply.
(For example, if the number of box areas in the\n template is 130, it is charged by 3 API calls)\n

\n CLOVA OCR service is called through API Gateway after service deployment and is charged separately based on the API\n Gateway usage.\n

\n","uId":"15773477131911","useYn":"Y","active":false},{"child":[],"type":"title","idName":"","className":"","text":"#### Guide to Enterprise plan\n","uId":"15773470378694","useYn":"Y","active":false},{"child":[],"type":"custom","text":"

\n [Example]\n

\n If you want to use a large capacity (more than 1 million per month) for the digitization of collected documents\n

\n If you want to improve the use of CLOVA OCR recognition template (dedicated template support for customer, etc.)\n

If you want consulting to apply CLOVA OCR service to your service optimally

\n","uId":"15773470468095","useYn":"Y","active":false}],"type":"section","idName":"","className":"price","uId":"156983416315818","useYn":"Y","expandYn":"N","active":false}]

CLOVA OCR Update