PDFlib Text Extraction Toolkit (TET) Manual

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4.5 TET PDF IFilter for Microsoft Products This section discusses TET PDF IFilter, which is a separate product built on top of PDFlib TET. More information and distribution packages for TET PDF IFilter are available at www.pdflib.com/products/tet-pdf-ifilter. TET PDF IFilter is freely available for non-commercial desktop use; commercial use on desktop systems and deployment on servers requires a commercial license. What is PDFlib TET PDF IFilter? TET PDF IFilter extracts text and metadata from PDF documents and makes it available to search and retrieval software on Windows. This allows PDF documents to be searched on the local desktop, a corporate server, or the Web. TET PDF IFilter is based on the patented PDFlib Text Extraction Toolkit (TET), which is an established developer product for reliably extracting text from PDF documents. TET PDF IFilter is a robust implementation of Microsoft’s IFilter indexing interface. It works with all search and retrieval products which support the IFilter interface, e.g. SharePoint and SQL Server. Such products use format-specific filter programs – called IFilters – for particular file formats, e.g. HTML. TET PDF IFilter is such a program, aimed at PDF documents. The user interface for searching the documents may be the Windows Explorer, a Web or database frontend, a query script, or a custom application. As an alternative to interactive searches, queries can also be submitted programmatically without any user interface. Unique Advantages. TET PDF IFilter offers the following advantages: > Supports Western text, Chinese, Japanese, and Korean (CJK) text and right-to-left languages such as Arabic and Hebrew > Indexes protected documents and extracts text even from PDFs where Acrobat fails > Supports Unicode folding, decomposition, and normalization > Deployment: thread-safe, fast and robust, 32- and 64-bit versions > Automatic script and language detection for improved search Enterprise PDF Search. TET PDF IFilter is available in fully thread-safe native 32- and 64-bit versions. You can implement enterprise PDF search solutions with TET PDF IFilter and the following products: > Microsoft SharePoint Server and FAST server for SharePoint > Microsoft Search Server > Microsoft SQL Server > Microsoft Exchange Server > Microsoft Site Server TET PDF IFilter can be used with all other Microsoft and third-party products which support the IFilter interface. Desktop PDF Search. TET PDF IFilter can also be used to implement desktop PDF search, e.g. with the following products: > Windows Search is integrated in Windows Vista/7/8 > Windows Indexing Service TET PDF IFilter is free for non-commercial use on desktop operating systems, which provides a convenient basis for test and evaluation. 52 Chapter 4: TET Connectors
Accepted PDF Input. TET PDF IFilter supports all relevant flavors of PDF input: > All PDF versions up to Acrobat XI, including ISO 32000 > Protected PDFs which do not require a password for opening the document > Damaged PDF documents will be repaired Unicode Postprocessing. TET PDF IFilter supports various Unicode postprocessing steps which can be used to improve the search results: > Foldings preserve, remove or replace characters, e.g. remove punctuation or characters from irrelevant scripts. > Decompositions replace a character with an equivalent sequence of one or more other characters, e.g. replace a Chinese character with its canonically equivalent Unicode character. > Text can be converted to all four Unicode normalization forms, e.g. emit NFC form to match the requirements of a database. Internationalization. In addition to Western text TET PDF IFilter fully supports Chinese, Japanese, and Korean (CJK) text. All CJK encodings are recognized; horizontal and vertical writing modes are supported. Automatic detection of the locale ID (language and region identifier) of the text improves the results of Microsoft’s word breaking and stemming algorithms, which is especially important for East Asian text. Right-to-left languages such as Hebrew and Arabic are also supported. Contextual character forms are normalized and the text is delivered in logical order. PDF is more than just a Bunch of Pages. TET PDF IFilter treats PDF documents as containers which may contain much more information than only plain pages. TET PDF IFilter indexes all relevant items in PDF documents: > Page contents > Text in bookmarks > Metadata (see below) > Embedded PDFs and PDF packages/portfolios are processed recursively so that the text in all embedded PDF documents can be searched. XMP Metadata and Document Info. The advanced metadata implementation in TET PDF IFilter supports the Windows property system for metadata. It indexes XMP metadata as well as standard or custom document info entries. Metadata indexing can be configured on several levels: > Document info entries, Dublin Core fields and other common XMP properties are mapped to equivalent Windows properties, e.g. Title, Subject, Author. > TET PDF IFilter adds useful PDF-specific pseudo properties, e.g. page size, PDF/A conformance level, font names. > All relevant predefined XMP properties can be searched. > User-defined XMP properties can be searched, e.g. company-specific classification properties, PDF/A extension schemas. TET PDF IFilter optionally integrates metadata in the full text index. As a result, even full text search engines without metadata support (e.g. SQL Server) can search for metadata. 4.5 TET PDF IFilter for Microsoft Products 53
Page 1 and 2: ABC Text Extraction Toolkit (TET) V
Page 3 and 4: Contents 0 First Steps with TET 7 0
Page 5: 8.6 Restrictions and Caveats 121 9
Page 8 and 9: 0.2 Applying the TET License Key Us
Page 10 and 11: Setting the license key with a TET
Page 12 and 13: CJK support. TET includes full supp
Page 14 and 15: The TET Plugin is a free extension
Page 16 and 17: new connector for the TIKA toolkit
Page 18 and 19: Table 2.1 TET command-line options
Page 20 and 21: 2.2 Constructing TET Command Lines
Page 22 and 23: Extract images from file.pdf in a r
Page 24 and 25: 3.2 C Binding TET is written in C w
Page 26 and 27: 3.3 C++ Binding Note For applicatio
Page 28 and 29: 3.4 COM Binding Installing the TET
Page 30 and 31: The following method of the String
Page 32 and 33: 3.7 Objective-C Binding Although th
Page 34 and 35: 3.8 Perl Binding The TET wrapper fo
Page 36 and 37: } catch (TETException $e) { print "
Page 38 and 39: 3.11 REALbasic Binding Installing t
Page 40 and 41: oot :to => "home#demo" > Edit app/c
Page 42 and 43: tion occurs, the job log shows the
Page 44 and 45: Acrobat provides only garbage when
Page 46 and 47: BUILD SUCCESSFUL Total time: 2 seco
Page 48 and 49: 4.3 TET Connector for the Solr Sear
Page 50 and 51: SQL> GRANT EXECUTE ON CTX_DOC TO HR
Page 54 and 55: 4.6 TET Connector for the Apache TI
Page 56 and 57: 4.7 TET Connector for MediaWiki Med
Page 59 and 60: 5 Configuration 5.1 Extracting Cont
Page 61 and 62: 5.2 Resource Configuration and File
Page 63 and 64: product manually, make sure to use
Page 65 and 66: 5.3 Recommendations for common Scen
Page 67 and 68: Also to ensure text fidelity you ma
Page 69 and 70: 6 Text Extraction 6.1 PDF Document
Page 71 and 72: How to display with Acrobat X: Tool
Page 73 and 74: 6.2 Page and Text Geometry Default
Page 75 and 76: width (x, y) beta fontsize baseline
Page 77 and 78: * Query ascender and descender valu
Page 79 and 80: 6.3 Chinese, Japanese, and Korean T
Page 81 and 82: Table 6.1 CJK compatibility decompo
Page 83 and 84: Since the PDF document may map pres
Page 85 and 86: Separator characters are inserted b
Page 87 and 88: this situation and recombines both
Page 89 and 90: Table 6.4 Document styles docstyle=
Page 91 and 92: 7 Advanced Unicode Handling 7.1 Imp
Page 93 and 94: Composite characters and sequences.
Page 95 and 96: 7.2.2 Filters for Granularity Word
Page 97 and 98: 7.3 Unicode Postprocessing TET offe
Page 99 and 100: Default foldings. Except for granul
Page 101 and 102: Compatibility decomposition. Charac
Page 103 and 104:
In contrast, the following option l
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Table 7.7 Unicode normalization for
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7.5 Unicode Mapping for Glyphs Whil
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Fig. 7.2 Sample font reports create
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glyphmapping {{fontname=Warnock* to
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8 Image Extraction 8.1 Image Extrac
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8.2 Image Merging and Filtering Ima
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8.3 Placed Images and Image Resourc
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8.5 Geometry of Placed Images Using
Page 121:
8.6 Restrictions and Caveats Image
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Various elements and attributes in
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c h e n 126 Chapter 9: TET Markup
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tet --tetml wordplus file.pdf With
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Object ’objects[49]/Subtype’ do
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Table 9.3 TETML elements and attrib
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9.4 Transforming TETML with XSLT Ve
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document containing the xml process
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[TheSansBold-Plain/13.98] 1 [TheSan
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10 TET Library API Reference 10.1 O
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List containing one option list wit
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Unicode sets. Unicode sets and can
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10.4 Geometric Types Rectangle. A r
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Table 10.2 Global options for TET_s
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10.6.2 Setup C TET *TET_new(void) C
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C++ int delete_pvf(wstring filename
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10.6.4 Unicode Conversion Function
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10.6.5 Exception Handling C++ wstri
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10.6.6 Logging The logging feature
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10.7 Document Functions C++ int ope
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Table 10.8 Document options for TET
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Table 10.8 Document options for TET
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Table 10.9 Suboptions for the glyph
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10.8 Page Functions C++ int open_pa
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Table 10.10 Page options for TET_op
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Table 10.11 Suboptions for the cont
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Table 10.12 Suboptions for the layo
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10.9 Text and Metrics Retrieval Fun
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Bindings C and C++ language binding
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10.10 Image Retrieval Functions C++
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C++ int write_image_file(int doc, i
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10.11 TET Markup Language (TETML) F
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Java and .NET language bindings: th
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estricted pCOS mode if nocopy=false
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10.12 pCOS Functions 191
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Image Retrieval Functions Function
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Index A annotations 71 API referenc
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TET command-line tool 17 TET connec
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