doc-exports/docs/ocr/umn/ocr_01_0028.html
Sheng, Lichang 86871abfe4 OCR usermanual 20240111 v2
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: Sheng, Lichang <lichangsheng1@noreply.gitea.eco.tsi-dev.otc-service.com>
Co-committed-by: Sheng, Lichang <lichangsheng1@noreply.gitea.eco.tsi-dev.otc-service.com>
2024-01-17 10:42:31 +00:00

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<h1 class="topictitle1">Functions</h1>
<div id="body0000001752569953"><div class="section" id="ocr_01_0028__section1138891517217"><h4 class="sectiontitle">Function Description</h4><ul id="ocr_01_0028__ul1694384719219"><li id="ocr_01_0028__li29431747428">General Table<p id="ocr_01_0028__p1094419474219"><a name="ocr_01_0028__li29431747428"></a><a name="li29431747428"></a>Detects and extracts text and their row and column locations from images of tables in various formats, as well as the text areas outside tables. It is used to store information on documents and reports as structured data.</p>
</li><li id="ocr_01_0028__li8944114716216">General Text<p id="ocr_01_0028__p9945144712217"><a name="ocr_01_0028__li8944114716216"></a><a name="li8944114716216"></a>Detects and extracts text and their locations from images and converts them into structured data.</p>
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<div class="section" id="ocr_01_0028__section983663013214"><h4 class="sectiontitle">Use Cases</h4><ul id="ocr_01_0028__ul596658129"><li id="ocr_01_0028__li179665815210">Digitalizing paper documents<p id="ocr_01_0028__p18960584218"><a name="ocr_01_0028__li179665815210"></a><a name="li179665815210"></a>Automatically detects and extracts text, signatures, and seals from document images and converts them into structured data for faster review.</p>
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