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<div class="cke-lang cke-lang-FR">
<h1>Reconnaissance optique de caractères</h1>

<p class="knet-chapo">Un document issu d'un scanner est d'abord une image. L'étape d'océrisation (OCR) permet d'en indexer le contenu et d'optimiser la taille.</p>

<div class="knet-image-right"><img alt="" src="/GED_CM/KentiWeb3/Doodle/Doodle_K3020302.png" style="height: 301px;" />
<h2>Indexation et recherche plein text</h2>

<p>Un document océrisé permet une indexation et une recherche dans son contenu. Un document optimisé permet une diffusion rapide (gain de taille).</p>
</div>

<div class="knet-image-left"><img alt="" src="/GED_CM/KentiWeb3/Doodle/Doodle_K3020303.png" style="height: 301px;" />
<h2>Optimisations multiples</h2>

<p><strong>Gain de temps, gain de place et pertinence accrue</strong> : le traitement de reconnaissance optique de caractères peut être effectué en direct lors de la numérisation ou en tâche de fond au niveau du serveur. La priorité peut être donnée à la qualité ou à la compression. Le fichier pdf produit peut être composite (juxtaposition de zones de texte et d'images) ou multicouche (superposition des trois couches pour une meilleure fidélité à l'original). Le bon réglage d'une chaîne de traitement est indispensable pour atteindre ses objectifs.</p>
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<div class="cke-lang cke-lang-EN">
<h2>Optical character recognition</h2>

<p><strong><em>Optical character recognition indexes the content of a scanned document and optimizes its size.</em></strong></p>

<h2 class="cke"><a class="figure lightbox" href="/GED_CM/Webpage_atomic/Produit_OCR.jpg" title="OCR = image vers text"><img alt="OCR" longdesc="OCR : searchable document" src="/GED_CM/Webpage_atomic/Produit_OCR.jpg" style="width: 260px; height: 174px; float: right; margin-left: 10px; margin-bottom: 5px;" /></a>Indexation and full-text search</h2>

<p>Thanks to OCR, the content of a document can be indexed and searched in. The size of your document is reduced so it can be quickly diffused.</p>

<h2 class="cke">Kentika for saving space and time</h2>

<p>Optical character recognition can be done directly from the client computer, or from the server via a robot like ABBYY Recognition Server. The PDF file can be a mix of text and pictures or a multi-layer file. You can decide to give priority to quality or compression.</p>
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