TET PDF IFilter supports all relevant flavors of PDF input:

All PDF versions up to 1.8 (Acrobat 9)

Encrypted PDFs which do not require a password for opening the document

Damaged PDF documents will be repaired if possible

The advanced metadata implementation in TET PDF IFilter supports the Windows property system for metadata. It indexes XMP metadata (Adobe’s rich XML-based metadata description language) 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, e.g. dc:rights, xmpRights:UsageTerms, xmp:CreatorTool.

User-defined XMP properties can be searched, e.g. company-specific classification properties, PDF/A extension schemas.

XMP metadata attached to individual images on PDF pages can be indexed, and image-related XMP properties can be used for searching.

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.

In addition to document metadata, TET PDF IFilter also supports XMP metadata attached to individual images. In modern workflows metadata travels with the image, e.g. from the digital camera to Photoshop editing up to page layout creation and PDF production. TET PDF IFilter picks up XMP image meta­data and makes it available for searches. For example, you can search for documents which contain images from a certain category, images created by a specific photographer, etc.

TET PDF IFilter includes full support for extracting 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.

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

Embedded PDFs are processed recursively so that also the text in attached PDF documents can be searched.

All documents in a PDF package are indexed. PDF packages are an Acrobat 8 feature for grouping multiple documents in a single PDF file (in Acrobat 9 called portfolios)