{"id":11069,"date":"2025-03-07T08:32:44","date_gmt":"2025-03-07T13:32:44","guid":{"rendered":"https:\/\/protechingenieria.com\/?p=11069"},"modified":"2025-03-07T08:32:47","modified_gmt":"2025-03-07T13:32:47","slug":"ocr-extraccion-automatica-de-datos","status":"publish","type":"post","link":"https:\/\/protechingenieria.com\/en\/ocr-extraccion-automatica-de-datos\/","title":{"rendered":"OCR and automatic data extraction. Key tools for digitization\""},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"11069\" class=\"elementor elementor-11069\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb74ede e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"cb74ede\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8e8aa74 elementor-widget elementor-widget-heading\" data-id=\"8e8aa74\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is Optical Character Recognition (OCR)?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-21a0128 elementor-widget elementor-widget-text-editor\" data-id=\"21a0128\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Optical Character Recognition (OCR) is a process that converts an image of text into a machine-readable text format. For example, if you back up a form or receipt, your computer stores the copy as an image file. A text editor cannot be used to edit, search, or read the words in the image file. However, OCR can transform the image into a text document, making its content accessible as readable text data.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-84e5c19 elementor-widget elementor-widget-heading\" data-id=\"84e5c19\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why is OCR important?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c146dca elementor-widget elementor-widget-text-editor\" data-id=\"c146dca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"translation-block\">Most business workflows involve extracting information from printed media. Printed forms, invoices, scanned legal documents, and printed contracts are essential in business processes. Managing and storing these large volumes of documents requires significant time and space. While document management in digital format is recommended, digitization presents challenges. The process requires manual effort and can be tedious and slow.<\/p><p class=\"translation-block\">Additionally, <a href=\"https:\/\/protechingenieria.com\/en\/transformacion-digital-era-moderna\/\" target=\"_self\"> digital transformation<\/a> of document content often creates image files where the text is embedded. The content of these images cannot be processed in the same way as text documents using word processing software. OCR technology solves this issue by converting text images into readable data, which can then be processed by business applications. This allows companies to analyze information, streamline operations, automate workflows, and boost productivity.<\/p><p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p><p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p><p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c00e7b elementor-widget elementor-widget-heading\" data-id=\"9c00e7b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How Does OCR Work?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85f2824 elementor-widget elementor-widget-text-editor\" data-id=\"85f2824\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"translation-block\">The <a href=\"https:\/\/www.archivogeneral.gov.co\/sites\/default\/files\/Estructura_Web\/5_Consulte\/Recursos\/Publicacionees\/V4_Ficha_Digitalizacion.pdf\" target=\"_blank\" rel=\"noopener\">OCR<\/a> software or engine follows these steps:<\/p><p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p><p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p><p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8ec953 elementor-widget elementor-widget-heading\" data-id=\"f8ec953\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">1. Visual Identity Acquisition<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dafd088 elementor-widget elementor-widget-text-editor\" data-id=\"dafd088\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A scanner processes documents and converts them into binary data. The OCR program examines the scanned image, categorizing light areas as the background and dark areas as text.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a72198 elementor-widget elementor-widget-heading\" data-id=\"3a72198\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">2. Preprocessing and Image Optimization<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d73e52 elementor-widget elementor-widget-text-editor\" data-id=\"0d73e52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Before reading the text, the OCR program cleans the image and removes distortions to enhance accuracy. Some preprocessing techniques include:<\/p>\n<ul>\n<li>\n<p>Straightening or deskewing the scanned document to correct alignment issues.<\/p>\n<\/li>\n<li>\n<p>Removing or smoothing imperfections from the digital image.<\/p>\n<\/li>\n<li>Enhancing contrast and lines in the illustration.<br \/><br \/><\/li>\n<li>Identifying hyphens for multilingual OCR processing.<\/li>\n<\/ul>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5255426 elementor-widget elementor-widget-heading\" data-id=\"5255426\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">3. Text Recognition<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6625ceb elementor-widget elementor-widget-text-editor\" data-id=\"6625ceb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>OCR software uses two main algorithms for text recognition: pattern matching and feature extraction.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a561e51 elementor-widget elementor-widget-heading\" data-id=\"a561e51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">4. Pattern Matching<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c330b52 elementor-widget elementor-widget-text-editor\" data-id=\"c330b52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Pattern matching extracts an image of a character, known as a glyph, and compares it with a stored glyph of a similar shape. This method works best when the stored glyph uses the same font and scale as the input glyph. It is most effective for digitized images of documents in standard fonts.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-44feec7 elementor-widget elementor-widget-heading\" data-id=\"44feec7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">5. Feature Extraction<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5843941 elementor-widget elementor-widget-text-editor\" data-id=\"5843941\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Feature extraction breaks down glyphs into key elements like lines, loops, angles, and intersections. The software then analyzes these characteristics to determine the closest match to a stored glyph.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a883756 elementor-widget elementor-widget-heading\" data-id=\"a883756\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">6. Post-Processing<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6f5b93 elementor-widget elementor-widget-text-editor\" data-id=\"c6f5b93\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>After text recognition, the system converts the extracted text into a digital file. Some OCR systems can generate searchable PDFs that contain both the original scanned image and its converted text version for easy reference.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bdf91b elementor-widget elementor-widget-heading\" data-id=\"9bdf91b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Types of OCR <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5df0a93 elementor-widget elementor-widget-text-editor\" data-id=\"5df0a93\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"translation-block\"><strong>Basic Optical Character Recognition (OCR) Software<\/strong><\/p>\n<p>A simple OCR engine stores multiple text patterns and font styles as templates. It uses pattern-matching algorithms to compare text images, letter by letter, against an internal database. If the system aligns text word by word, it is called optical word recognition. This method has limitations since there are countless fonts and handwriting styles, making it impossible to capture all variations in a database.<\/p>\n<p class=\"translation-block\"><strong>Intelligent Optical Character Recognition (ICR) Software<\/strong><\/p>\n<p>Modern OCR systems use Intelligent Character Recognition (ICR) technology, enabling them to read text similarly to how humans do. These systems leverage machine learning techniques to enhance accuracy.\n\nA neural network-based learning system processes text at multiple levels, repeatedly analyzing the image. It examines different characteristics such as curves, lines, intersections, and loops, integrating all these elements to generate an accurate text output. While ICR typically processes one character at a time, it does so rapidly, delivering results in seconds.<\/p>\n<p><strong><strong>Intelligent Word Recognition (IWR)<\/strong><\/strong><\/p>\n<p>IWR follows the same principles as ICR but processes entire words instead of individual characters, improving speed and accuracy in text recognition.<\/p>\n<p><strong><strong>Optical Mark Recognition (OMR)<\/strong><\/strong><\/p>\n<p>OMR technology identifies logos, watermarks, and other textual symbols in a document. It is commonly used for detecting checkboxes, barcodes, and special marks in forms and surveys.<\/p>\n<p><!-- notionvc: ec362098-b46b-4afd-8640-45ac9c6de762 --><\/p>\n<p><!-- notionvc: ce0c0eae-c42b-46f0-8984-cf6ddccc3bcd --><\/p>\n<p><!-- notionvc: 69be6ae1-2ef5-4380-b570-1c2534847c28 --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c859cf2 elementor-widget elementor-widget-image\" data-id=\"c859cf2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"526\" src=\"https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-768x526.webp\" class=\"attachment-medium_large size-medium_large wp-image-10852\" alt=\"8 Ventajas de la digitalizaci\u00f3n de documentos\" srcset=\"https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-768x526.webp 768w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-300x205.webp 300w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-1024x701.webp 1024w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-1536x1052.webp 1536w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-18x12.webp 18w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2-150x103.webp 150w, https:\/\/protechingenieria.com\/wp-content\/uploads\/2025\/02\/DIGITALIZACION-2.webp 1920w\" sizes=\"(max-width: 768px) 100vw, 768px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18f9c37 elementor-widget elementor-widget-heading\" data-id=\"18f9c37\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Benefits of OCR Technology<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a3c04a elementor-widget elementor-widget-eael-feature-list\" data-id=\"4a3c04a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-feature-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"-icon-position-left -tablet-icon-position-left -mobile-icon-position-left\">\n\t\t\t<ul id=\"eael-feature-list-4a3c04a\" class=\"eael-feature-list-items circle stacked  eael-feature-list-vertical\" data-layout-tablet=\"vertical\" data-layout-mobile=\"vertical\">\n\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-c7716d1\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-0\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-plus\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M624 208h-64v-64c0-8.8-7.2-16-16-16h-32c-8.8 0-16 7.2-16 16v64h-64c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h64v64c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16v-64h64c8.8 0 16-7.2 16-16v-32c0-8.8-7.2-16-16-16zm-400 48c70.7 0 128-57.3 128-128S294.7 0 224 0 96 57.3 96 128s57.3 128 128 128zm89.6 32h-16.7c-22.2 10.2-46.9 16-72.9 16s-50.6-5.8-72.9-16h-16.7C60.2 288 0 348.2 0 422.4V464c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48v-41.6c0-74.2-60.2-134.4-134.4-134.4z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Speed<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">The primary advantage of OCR software is its high-speed data entry and processing. The world\u2019s fastest typist recorded 216 words per minute, whereas a high-quality OCR program can recognize over 1,500 characters per second.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-328b8cd\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-1\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-check\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224 256c70.7 0 128-57.3 128-128S294.7 0 224 0 96 57.3 96 128s57.3 128 128 128zm89.6 32h-16.7c-22.2 10.2-46.9 16-72.9 16s-50.6-5.8-72.9-16h-16.7C60.2 288 0 348.2 0 422.4V464c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48v-41.6c0-74.2-60.2-134.4-134.4-134.4zm323-128.4l-27.8-28.1c-4.6-4.7-12.1-4.7-16.8-.1l-104.8 104-45.5-45.8c-4.6-4.7-12.1-4.7-16.8-.1l-28.1 27.9c-4.7 4.6-4.7 12.1-.1 16.8l81.7 82.3c4.6 4.7 12.1 4.7 16.8.1l141.3-140.2c4.6-4.7 4.7-12.2.1-16.8z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Accuracy<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">OCR also offers exceptional accuracy. Manual data entry involves multiple steps\u2014data input, processing, and extraction\u2014all of which are prone to human error. Basic OCR software achieves 98% accuracy, and when combined with AI technologies like deep learning algorithms, natural language processing (NLP), and Intelligent Character Recognition (ICR), accuracy improves even further.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-1a0c82f\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-2\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-users-cog\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M610.5 341.3c2.6-14.1 2.6-28.5 0-42.6l25.8-14.9c3-1.7 4.3-5.2 3.3-8.5-6.7-21.6-18.2-41.2-33.2-57.4-2.3-2.5-6-3.1-9-1.4l-25.8 14.9c-10.9-9.3-23.4-16.5-36.9-21.3v-29.8c0-3.4-2.4-6.4-5.7-7.1-22.3-5-45-4.8-66.2 0-3.3.7-5.7 3.7-5.7 7.1v29.8c-13.5 4.8-26 12-36.9 21.3l-25.8-14.9c-2.9-1.7-6.7-1.1-9 1.4-15 16.2-26.5 35.8-33.2 57.4-1 3.3.4 6.8 3.3 8.5l25.8 14.9c-2.6 14.1-2.6 28.5 0 42.6l-25.8 14.9c-3 1.7-4.3 5.2-3.3 8.5 6.7 21.6 18.2 41.1 33.2 57.4 2.3 2.5 6 3.1 9 1.4l25.8-14.9c10.9 9.3 23.4 16.5 36.9 21.3v29.8c0 3.4 2.4 6.4 5.7 7.1 22.3 5 45 4.8 66.2 0 3.3-.7 5.7-3.7 5.7-7.1v-29.8c13.5-4.8 26-12 36.9-21.3l25.8 14.9c2.9 1.7 6.7 1.1 9-1.4 15-16.2 26.5-35.8 33.2-57.4 1-3.3-.4-6.8-3.3-8.5l-25.8-14.9zM496 368.5c-26.8 0-48.5-21.8-48.5-48.5s21.8-48.5 48.5-48.5 48.5 21.8 48.5 48.5-21.7 48.5-48.5 48.5zM96 224c35.3 0 64-28.7 64-64s-28.7-64-64-64-64 28.7-64 64 28.7 64 64 64zm224 32c1.9 0 3.7-.5 5.6-.6 8.3-21.7 20.5-42.1 36.3-59.2 7.4-8 17.9-12.6 28.9-12.6 6.9 0 13.7 1.8 19.6 5.3l7.9 4.6c.8-.5 1.6-.9 2.4-1.4 7-14.6 11.2-30.8 11.2-48 0-61.9-50.1-112-112-112S208 82.1 208 144c0 61.9 50.1 112 112 112zm105.2 194.5c-2.3-1.2-4.6-2.6-6.8-3.9-8.2 4.8-15.3 9.8-27.5 9.8-10.9 0-21.4-4.6-28.9-12.6-18.3-19.8-32.3-43.9-40.2-69.6-10.7-34.5 24.9-49.7 25.8-50.3-.1-2.6-.1-5.2 0-7.8l-7.9-4.6c-3.8-2.2-7-5-9.8-8.1-3.3.2-6.5.6-9.8.6-24.6 0-47.6-6-68.5-16h-8.3C179.6 288 128 339.6 128 403.2V432c0 26.5 21.5 48 48 48h255.4c-3.7-6-6.2-12.8-6.2-20.3v-9.2zM173.1 274.6C161.5 263.1 145.6 256 128 256H64c-35.3 0-64 28.7-64 64v32c0 17.7 14.3 32 32 32h65.9c6.3-47.4 34.9-87.3 75.2-109.4z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Functionality<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">While scanned documents and handwritten texts can be stored as digital images, OCR allows users to index, edit, and search within these documents. If you\u2019ve ever received a scanned PDF that\u2019s just an image, you know how frustrating it can be when you can't edit the text. OCR eliminates this frustration, making documents editable, searchable, and more accessible.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-fd8b772\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-3\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-tag\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M630.6 364.9l-90.3-90.2c-12-12-28.3-18.7-45.3-18.7h-79.3c-17.7 0-32 14.3-32 32v79.2c0 17 6.7 33.2 18.7 45.2l90.3 90.2c12.5 12.5 32.8 12.5 45.3 0l92.5-92.5c12.6-12.5 12.6-32.7.1-45.2zm-182.8-21c-13.3 0-24-10.7-24-24s10.7-24 24-24 24 10.7 24 24c0 13.2-10.7 24-24 24zm-223.8-88c70.7 0 128-57.3 128-128C352 57.3 294.7 0 224 0S96 57.3 96 128c0 70.6 57.3 127.9 128 127.9zm127.8 111.2V294c-12.2-3.6-24.9-6.2-38.2-6.2h-16.7c-22.2 10.2-46.9 16-72.9 16s-50.6-5.8-72.9-16h-16.7C60.2 287.9 0 348.1 0 422.3v41.6c0 26.5 21.5 48 48 48h352c15.5 0 29.1-7.5 37.9-18.9l-58-58c-18.1-18.1-28.1-42.2-28.1-67.9z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Cost Reduction<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">As businesses transition to cloud-based digital solutions, the cost of manual data entry, printing, and storage can be overwhelming. OCR significantly reduces expenses by automating data extraction and eliminating paper-related costs such as copying and printing.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-67bc5ce\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-4\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-lock\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224 256A128 128 0 1 0 96 128a128 128 0 0 0 128 128zm96 64a63.08 63.08 0 0 1 8.1-30.5c-4.8-.5-9.5-1.5-14.5-1.5h-16.7a174.08 174.08 0 0 1-145.8 0h-16.7A134.43 134.43 0 0 0 0 422.4V464a48 48 0 0 0 48 48h280.9a63.54 63.54 0 0 1-8.9-32zm288-32h-32v-80a80 80 0 0 0-160 0v80h-32a32 32 0 0 0-32 32v160a32 32 0 0 0 32 32h224a32 32 0 0 0 32-32V320a32 32 0 0 0-32-32zM496 432a32 32 0 1 1 32-32 32 32 0 0 1-32 32zm32-144h-64v-80a32 32 0 0 1 64 0z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Space Optimization<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">OCR converts mountains of paper documents into digital, well-organized data, reducing the need for physical storage. Traditional file rooms and storage warehouses can be replaced by a single server or cloud platform, making document retrieval faster and more efficient.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t                <li class=\"eael-feature-list-item elementor-repeater-item-0bb7200\">\n                    \n\t\t\t\t\t\t<div class=\"eael-feature-list-icon-box\">\n\t\t\t\t\t\t\t<div class=\"eael-feature-list-icon-inner\">\n\n\t\t\t\t\t\t\t\t<span class=\"eael-feature-list-icon fl-icon-5\">\n\n\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-edit\" viewbox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224 256c70.7 0 128-57.3 128-128S294.7 0 224 0 96 57.3 96 128s57.3 128 128 128zm89.6 32h-16.7c-22.2 10.2-46.9 16-72.9 16s-50.6-5.8-72.9-16h-16.7C60.2 288 0 348.2 0 422.4V464c0 26.5 21.5 48 48 48h274.9c-2.4-6.8-3.4-14-2.6-21.3l6.8-60.9 1.2-11.1 7.9-7.9 77.3-77.3c-24.5-27.7-60-45.5-99.9-45.5zm45.3 145.3l-6.8 61c-1.1 10.2 7.5 18.8 17.6 17.6l60.9-6.8 137.9-137.9-71.7-71.7-137.9 137.8zM633 268.9L595.1 231c-9.3-9.3-24.5-9.3-33.8 0l-37.8 37.8-4.1 4.1 71.8 71.7 41.8-41.8c9.3-9.4 9.3-24.5 0-33.9z\"><\/path><\/svg>\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"eael-feature-list-content-box\">\n                            <h2 class=\"eael-feature-list-title\">Editing Capability<\/h2>\t\t\t\t\t\t<p class=\"eael-feature-list-content\">OCR enables users to convert scanned images into editable formats such as Word or Excel, eliminating the need for manual copying and pasting. This streamlines document updates and modifications, improving productivity and efficiency.<\/p>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<\/ul>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d82615 elementor-widget elementor-widget-eael-cta-box\" data-id=\"1d82615\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-cta-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"eael-call-to-action cta-icon-flex bg-lite cta-preset-1\">\n\t    <div class=\"icon\">\n\t\t\t\t\t\t\t<svg class=\"e-font-icon-svg e-fas-bullhorn\" viewbox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M576 240c0-23.63-12.95-44.04-32-55.12V32.01C544 23.26 537.02 0 512 0c-7.12 0-14.19 2.38-19.98 7.02l-85.03 68.03C364.28 109.19 310.66 128 256 128H64c-35.35 0-64 28.65-64 64v96c0 35.35 28.65 64 64 64h33.7c-1.39 10.48-2.18 21.14-2.18 32 0 39.77 9.26 77.35 25.56 110.94 5.19 10.69 16.52 17.06 28.4 17.06h74.28c26.05 0 41.69-29.84 25.9-50.56-16.4-21.52-26.15-48.36-26.15-77.44 0-11.11 1.62-21.79 4.41-32H256c54.66 0 108.28 18.81 150.98 52.95l85.03 68.03a32.023 32.023 0 0 0 19.98 7.02c24.92 0 32-22.78 32-32V295.13C563.05 284.04 576 263.63 576 240zm-96 141.42l-33.05-26.44C392.95 311.78 325.12 288 256 288v-96c69.12 0 136.95-23.78 190.95-66.98L480 98.58v282.84z\"><\/path><\/svg>\t    <\/div>\n\t    <div class=\"content\">\n            <h2 class=\"title eael-cta-heading\">Transform your business today!<\/h2><p><span class=\"notion-enable-hover\">Act now! It is essential for every modern company that wants to achieve greater productivity and efficiency in its management processes!<\/span><br \/><!-- notionvc: ce091acc-8b3d-4cfb-a8f3-05fa8229b3ee --><\/p>\t    <\/div>\n\t    <div class=\"action\">\n            <a href=\"https:\/\/protechingenieria.com\/en\/asesoria\/\" target=\"_blank\" class=\"cta-button cta-preset-1\">Contact Us<\/a>\t    <\/div>\n\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>\u00bfQu\u00e9 es el reconocimiento \u00f3ptico de caracteres (OCR)? El procesamiento de reconocimiento \u00f3ptico de caracteres (OCR) es el procedimiento que transforma una imagen de texto en un formato de texto que las m\u00e1quinas pueden leer. Por ejemplo, si realiza una copia de seguridad de un formulario o recibo, su ordenador almacena la copia como un archivo de imagen. Un editor de texto no puede emplearse para modificar, buscar o narrar las palabras presentes en el archivo de imagen. No obstante, el OCR puede emplearse para transformar la imagen en un documento de texto que contenga su contenido en forma de datos de texto. \u00bfPor qu\u00e9 es importante el OCR? La mayor parte de los flujos de trabajo en el \u00e1mbito empresarial implican obtener informaci\u00f3n de medios impresos. Los formularios impresos, las facturas, los documentos jur\u00eddicos escaneados y los contratos impresos constituyen elementos esenciales en los procedimientos comerciales. Estas grandes cantidades de documentaci\u00f3n demandan gran cantidad de tiempo y espacio para su almacenaje y gesti\u00f3n. Aunque la gesti\u00f3n de documentos en formato digital es aconsejable, la digitalizaci\u00f3n de estos genera retos. El procedimiento necesita acci\u00f3n manual y puede resultar tedioso y pausado. Adem\u00e1s, la transformaci\u00f3n digital del contenido de los documentos genera archivos gr\u00e1ficos con el texto escondido dentro de ellos. El contenido de las im\u00e1genes no puede ser procesado de la misma forma que los documentos de texto con un programa de procesamiento de texto. La tecnolog\u00eda OCR soluciona el problema transformando im\u00e1genes de texto en informaci\u00f3n de texto que puede ser examinada por otros programas empresariales. As\u00ed, puede emplear la informaci\u00f3n para realizar an\u00e1lisis, perfeccionar operaciones, automatizar procedimientos y aumentar la productividad. \u00bfC\u00f3mo funciona el OCR? El software o el motor de OCR opera siguiendo los pasos siguientes: 1. Adquisici\u00f3n de identidad visual Un esc\u00e1ner procesa los documentos y los transforma en informaci\u00f3n binaria. El programa de OCR examina la imagen escaneada y categoriza las zonas claras como fondo, mientras que las zonas oscuras son consideradas texto. 2. Procesamiento previo y exhaustivo El programa de OCR inicialmente limpia la imagen y suprime los fallos para acondicionarla para su lectura. Algunas de las t\u00e9cnicas para la limpieza son: El documento escaneado se endereza o se inclina un poco para resolver las dificultades de alineaci\u00f3n durante el proceso de escaneo Se quita o se borran las marcas de las im\u00e1genes digitales o se suavizan los bordes de las im\u00e1genes de texto. Se aclaran los paneles y las l\u00edneas de la ilustraci\u00f3n. Se identifican guiones para la tecnolog\u00eda OCR de m\u00faltiples idiomas. 3. Reconocimiento de texto Se conocen como coincidencia de patrones y extracci\u00f3n de caracter\u00edsticas a los dos tipos principales de algoritmos de OCR o procesos inform\u00e1ticos que emplean un software de OCR para la identificaci\u00f3n de texto. 4. Coincidencia de patrones La coincidencia de patrones aparta una imagen de personalidad, conocida como glifo, y la contrasta con un glifo guardado de forma parecida. La identificaci\u00f3n de patrones solo es efectiva si el glifo guardado posee una fuente y escala parecidas a las del glifo de entrada. Este procedimiento resulta eficaz con im\u00e1genes digitalizadas de documentos redactados en una fuente reconocida. 5. Extracci\u00f3n de caracter\u00edsticas La obtenci\u00f3n de caracter\u00edsticas segmenta o desintegra los glifos en elementos como l\u00edneas, circuitos cerrados, direcci\u00f3n de l\u00ednea e intersecciones de l\u00ednea. Posteriormente, emplea estas propiedades para determinar la mejor coincidencia o el vecino m\u00e1s pr\u00f3ximo entre los glifos guardados. 6. Procesamiento posterior Tras el an\u00e1lisis, el sistema transforma la informaci\u00f3n de texto obtenida en un archivo de inform\u00e1tica. Algunos sistemas de OCR tienen la capacidad de generar documentos PDF con anotaciones que contienen las versiones previas y subsiguientes del documento que se ha escaneado. \u00bfQu\u00e9 tipos de OCR existen? Software\u00a0simple de reconocimiento \u00f3ptico de caracteres Un motor de OCR sencillo guarda numerosos patrones de texto y diversas fuentes como las plantillas. El programa de OCR emplea algoritmos de coincidencia de patrones para cotejar im\u00e1genes de texto, letra por letra, con su base de datos interno. Si el sistema se alinea palabra por palabra con el texto, esto se conoce como reconocimiento \u00f3ptico de palabras. Esta soluci\u00f3n presenta restricciones, dado que existen pr\u00e1cticamente infinitas fuentes y estilos de escritura, y no es posible capturar y guardar cada uno de estos tipos en la base de datos. Software\u00a0inteligente de reconocimiento \u00f3ptico de caracteres Los sistemas de reconocimiento autom\u00e1tico de caracteres (OCR) actuales emplean tecnolog\u00eda de reconocimiento inteligente de caracteres (ICR) para leer el texto de la forma en que los seres humanos lo hacen. Emplean t\u00e9cnicas sofisticadas que capacitan a las m\u00e1quinas para que act\u00faen como seres humanos a trav\u00e9s del software de aprendizaje autom\u00e1tico. Un sistema de aprendizaje autom\u00e1tico conocido como red neuronal examina el texto en diversos niveles y procesa la imagen de manera repetitiva. Examina distintas caracter\u00edsticas de la imagen, tales como curvas, l\u00edneas, cruces y circuitos, y fusiona los resultados de todos estos distintos niveles de an\u00e1lisis para conseguir el resultado final. Aunque el ICR usualmente procesa im\u00e1genes de un car\u00e1cter simult\u00e1neamente, el procedimiento es veloz y los resultados se logran en segundos. Reconocimiento de palabras inteligente Los sistemas inteligentes de identificaci\u00f3n de palabras operan con los mismos fundamentos que el ICR, aunque manejan im\u00e1genes de palabras completas en vez de procesar las im\u00e1genes en caracteres antes de procesarlas. Reconocimiento \u00f3ptico de marcas La identificaci\u00f3n \u00f3ptica de marcas reconoce logotipos, marcas de agua y otros signos textuales en un texto. \u00bfQu\u00e9 beneficios ofrece el OCR? Velocidad El principal beneficio del software de OCR radica en la velocidad con la que lleva a cabo los procedimientos de inclusi\u00f3n y tratamiento de datos. El mecan\u00f3grafo que se ha registrado con mayor rapidez tipe\u00f3 216 palabras cada minuto. En contraste, el programa de OCR m\u00e1s veloz en un ordenador de calidad puede identificar m\u00e1s de 1500 caracteres cada segundo. Precisi\u00f3n Otra ventaja es la exactitud. Para las personas, cada etapa (inclusi\u00f3n de datos, tratamiento de datos y extracci\u00f3n de datos) representa un campo donde pueden surgir fallos. La exactitud del OCR en un programa b\u00e1sico<\/p>","protected":false},"author":5,"featured_media":11077,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4,43],"tags":[],"class_list":["post-11069","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gestion-documental","category-digitalizacion-de-documentos"],"_links":{"self":[{"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/posts\/11069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/comments?post=11069"}],"version-history":[{"count":14,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/posts\/11069\/revisions"}],"predecessor-version":[{"id":11084,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/posts\/11069\/revisions\/11084"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/media\/11077"}],"wp:attachment":[{"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/media?parent=11069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/categories?post=11069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/protechingenieria.com\/en\/wp-json\/wp\/v2\/tags?post=11069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}