{"id":203329,"date":"2024-01-24T15:46:06","date_gmt":"2024-01-24T14:46:06","guid":{"rendered":"https:\/\/easy-software.com\/?post_type=glossar&#038;p=203329"},"modified":"2025-12-12T10:13:50","modified_gmt":"2025-12-12T09:13:50","slug":"ocr-optical-character-recognition","status":"publish","type":"glossar","link":"https:\/\/easy-software.com\/de\/glossar\/ocr-optical-character-recognition\/","title":{"rendered":"<em>OCR<\/em>"},"content":{"rendered":"<div class=\"gb-container gb-container-bff3e728\">\n<div class=\"gb-container gb-container-21f239a0\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-21d3b66e\">\n<div class=\"gb-grid-column gb-grid-column-8f04805b\"><div class=\"gb-container gb-container-8f04805b\">\n\n<p>OCR-Technologie hilft uns bei der <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-marker-text-color\">Texterkennung<\/mark> und <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-marker-text-color\">erleichtert<\/mark> das Arbeitsleben <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-marker-text-color\">enorm<\/mark>. Wof\u00fcr man es ben\u00f6tigt und wie\u2019s funktioniert, erfahren Sie <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-marker-text-color\">hier<\/mark>.<\/p>\n\n\n\n<h2 class=\"gb-headline gb-headline-be760d6a gb-headline-text gb-headline-medium\">Was ist Optical Character Recognition (<em>OCR<\/em>)?<\/h2>\n\n\n\n<p>Das OCR-Verfahren ist ein Text-Erkennungsprozess. In diesem Verfahren geht es darum, die dargestellten Buchstaben als solche zu erkennen. Dazu verwandelt der Prozess z.B. ein Dokument in ein Schwarz-wei\u00df-Bild, also in eine Rastergrafik. Erst daraufhin folgt eine Mustererkennung.<\/p>\n\n\n\n<h2 class=\"gb-headline gb-headline-7e878f44 gb-headline-text gb-headline-medium\">Wie Optical Character Recognition jeden Tag hilft<\/h2>\n\n\n\n<p>Machen wir es praktisch. Anwendungsf\u00e4lle f\u00fcr OCR existieren viele. Z.B. wenn jemand einen Vertrag oder eine Rechnung als PDF <strong>nicht nur lesen<\/strong> will. Enthalten diese PDFs n\u00e4mlich <strong>ausw\u00e4hlbaren<\/strong> Text,<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>der sich ein anderes Dokument kopieren l\u00e4sst oder<\/li>\n\n\n\n<li>ist das PDF bereits durchsuchbar,<\/li>\n<\/ul>\n\n\n\n<p>hat h\u00e4ufig eine Zeichen- bzw. Texterkennung <strong>bereits stattgefunden<\/strong>. Das kennt fast jeder und <strong>ist nicht selbstverst\u00e4ndlich<\/strong>. Denn <strong>oft<\/strong> bestehen <strong>PDFs<\/strong> <strong>nur<\/strong> aus <strong>Bilddaten<\/strong>. Texterkennung wird notwendig, da die dokumenterzeugenden Eingabeger\u00e4te wie Scanner, Faxger\u00e4te oder digitale Kameras nur pixelbasierte Grafiken (JPEGs, PNGs, TIFFs etc.) ausliefern, eingebettet in ein PDF. Erst durch die Optical Character Recognition entstehen durch Mustererkennung Zeichen und Zeichenketten daraus.<\/p>\n\n\n\n<p><strong>Festzuhalten bleibt<\/strong>: Zeichenerkennung und das Umwandeln erkannter Zeichen in Text ist die Hauptaufgabe der Optical Character Recognition. Die Anwendungsf\u00e4lle f\u00fcr die digitale Zeichenerkennung sind vielf\u00e4ltig, aber auf jeden Fall immer hilfreich.<\/p>\n\n\n<div class=\"gb-container gb-container-b860e3f3\">\n\n<p class=\"gb-headline gb-headline-dabaf045 gb-headline-small\"><span class=\"gb-icon\"><svg xml:space=\"preserve\" viewBox=\"0 0 400 400\" y=\"0px\" x=\"0px\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Ebene_1\" version=\"1.1\">\n<g>\n\t<g>\n\t\t<g>\n\t\t\t<path 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d=\"M86.7,202.7c-8.2,1.7-16.4,3.4-24.7,5.1c-11.8,2.4-23.7,4.8-35.6,6.9c-2.4,0.4-4.8,0.8-7.2,1.2\n\t\t\tc-0.5,0.1-1,0.1-1.5,0.2c-0.1,0-0.3,0-0.4,0.1c0.2,0,0.3,0,0,0c-0.1,0-0.2,0-0.3,0c0.1,0,0.2,0,0.3,0c0,0-0.1,0-0.1,0\n\t\t\tc-0.7,0.1-1.3,0.2-2,0.2c-1.7,0.1-3.3,1.4-3.2,3.2c0.1,1.7,1.4,3.4,3.2,3.2c3.7-0.3,7.3-1,10.9-1.6c5.5-1,11.1-2,16.6-3.1\n\t\t\tc11.7-2.3,23.4-4.7,35.1-7.1c3.5-0.7,7.1-1.5,10.6-2.2c1.7-0.4,2.7-2.4,2.3-4C90.2,203.2,88.4,202.3,86.7,202.7z\" fill=\"#1D1D1B\"><\/path>\n\t<\/g>\n<\/g>\n<\/svg>\n<\/span><\/p>\n\n\n\n<h3 class=\"gb-headline gb-headline-ee18a451 gb-headline-text gb-headline-small\">Wo kommt <em>OCR<\/em> zum Einsatz?<\/h3>\n\n\n\n<p>Gerade im Kontext des automatisierten <a href=\"https:\/\/easy-software.com\/de\/dokumentenmanagementsystem\/\">Dokumentenmanagements<\/a>. Hier leistet die automatische Texterkennung wertvolle Dienste. OCR-Programme helfen z.B. bei der Gewinnung von <a href=\"https:\/\/easy-software.com\/de\/glossar\/metadaten\/\">Metadaten<\/a> etc., die sp\u00e4terhin zur Verschlagwortung nutzbar sind. Anderes ist denkbar. Beispielsweise die Erkennung und Extraktion von Rechnungsdaten als Basis f\u00fcr den <a href=\"https:\/\/easy-software.com\/de\/glossar\/three-way-match\/\">Three-way-Match<\/a>. Im Grunde ist OCR f\u00fcr den gesamten Bereich der <a href=\"https:\/\/easy-software.com\/de\/digitale-belegerfassung\/\">Belegerfassung<\/a> essenziell.<\/p>\n\n<\/div>\n\n\n<h2 class=\"gb-headline gb-headline-6323eba6 gb-headline-text gb-headline-medium\">Wie funktioniert <em>OCR<\/em>?<\/h2>\n\n\n\n<p>Die Grundlage, auf der das OCR-Verfahren zur Zeichenerkennung stattfindet, sind <a href=\"https:\/\/de.wikipedia.org\/wiki\/Rastergrafik\">Rastergrafiken<\/a>. Das sind in Zeilen und Spalten angeordnete Punkte unterschiedlicher F\u00e4rbung, eben die einzelnen Pixel. <\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;693e225c590f2&quot;}\" data-wp-interactive=\"core\/image\" class=\"wp-block-image size-full wp-lightbox-container\"><img decoding=\"async\" width=\"3840\" height=\"2366\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr.png\" alt=\"Das Verfahren zur Texterkennung simplifiziert veranschaulicht\" class=\"wp-image-203399\" srcset=\"https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr.png 3840w, https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr-768x473.png 768w, https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr-1536x946.png 1536w, https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr-2048x1262.png 2048w, https:\/\/easy-software.com\/wp-content\/uploads\/OCR-Verfahren-DE-q-kr-1x1.png 1w\" sizes=\"(max-width: 3840px) 100vw, 3840px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Vergr\u00f6\u00dfern\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>Das Verfahren zur Texterkennung simplifiziert veranschaulicht<\/em><\/figcaption><\/figure>\n\n\n\n<p>Optical Character Recognition ist eine Technologie, die dazu dient, gedruckte oder handgeschriebene Texte in maschinenlesbaren Text umzuwandeln.Der OCR-Prozess verl\u00e4uft in mehreren Schritten:<\/p>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-643e035b\"><div class=\"gb-container gb-container-643e035b\">\n\n<ol class=\"wp-block-list\">\n<li><strong>Bildaufnahme:<\/strong> Der erste Prozessschritt besteht darin, ein Bild oder einen Scan des Textdokuments zu erfassen.<\/li>\n\n\n\n<li><strong>Vorverarbeitung:<\/strong> Das erfasste Bild wird vorverarbeitet, um es f\u00fcr das OCR und Texterkennung vorzubereiten. Dies kann das Entfernen von Rauschen, das Ausrichten von Text und die Anpassung des Kontrasts beinhalten.<\/li>\n\n\n\n<li><strong>Segmentierung:<\/strong> Der Text wird in Segmente wie Textzeilen, W\u00f6rter oder Buchstaben unterteilt, um eine genauere OCR-Erkennung zu erm\u00f6glichen.<\/li>\n\n\n\n<li><strong>Mustererkennung:<\/strong> In diesem Schritt analysiert der OCR-Algorithmus die Formen und Muster in den Segmenten, um Buchstaben, Zahlen und Symbole zu identifizieren.<\/li>\n\n\n\n<li><strong>Textrekonstruktion:<\/strong> Die durch OCR erkannten Muster werden zu einem rekonstruierten Text zusammengesetzt.<\/li>\n\n\n\n<li><strong>Textausgabe:<\/strong> Die rekonstruierten Textdaten stehen als Ausgabe zur Verf\u00fcgung und k\u00f6nnen in einem digitalen Format gespeichert oder weiterverarbeitet werden.<\/li>\n<\/ol>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"gb-headline gb-headline-0d11dcb8 gb-headline-text gb-headline-medium\">Optical Character Recognition: Eine leistungsstarke Technologie zur Texterkennung<\/h2>\n\n\n\n<p>Auch wenn uns Akronyme aus dem IT-Kosmos oft schwer zug\u00e4nglich erscheinen, so entfalten die damit verbundenen Technologien ihre Wirkmacht. Im Alltag hilft uns diese Technik, Texte aus Bildern oder Scans zu erfassen, zu bearbeiten und zu nutzen. So erspart uns Optical Character Recognition jede Menge Zeit und M\u00fchen. Keiner muss mehr Texte abtippen oder zur Suche Absatz f\u00fcr Absatz durchlesen. Jeder der den PDF-Betrachter Adobe Acrobat nutzt, nutzt auch schon die dort eingebaute optische Texterkennung. Im professionellen Dokumentenmanagement und in dokumentenintensiven Prozessen ersetzt OCR die manuelle Dateneingabe. Dokumente lassen sich damit automatisch erfassen und klassifizieren, extrahieren und validieren. Wesentlich k\u00fcrzere Bearbeitungszeiten bei gestiegener Datenqualit\u00e4t sind die Folge. Hier kommen OCR-Engines zum Einsatz, wie z.B. &nbsp;ABBYY Finereader oder Tesseract.<\/p>\n\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Wieder ein Akronym aus der IT-Welt: OCR. Ausgeschrieben entfaltet es sich zu Optical Character Recognition. Hier geht&#8217;s also um optische Zeichenerkennung. <\/p>\n","protected":false},"author":64,"featured_media":0,"parent":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-203329","glossar","type-glossar","status-publish","format-standard","hentry","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/glossar\/203329","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/glossar"}],"about":[{"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/types\/glossar"}],"author":[{"embeddable":true,"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/users\/64"}],"version-history":[{"count":2,"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/glossar\/203329\/revisions"}],"predecessor-version":[{"id":223350,"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/glossar\/203329\/revisions\/223350"}],"wp:attachment":[{"href":"https:\/\/easy-software.com\/de\/wp-json\/wp\/v2\/media?parent=203329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}