TILE (Text-Image Linking Environment)

The Text-Image Linking Environment (TILE) is a web-based tool for creating and editing image-based electronic editions and digital archives of humanities texts.


TILE 1.0 supports the following tools and functionality:

  • Image markup tool
  • Annotate regions of an image by drawing rectangles, polygons, and ellipses, apply labels to selections, and manually create links between sections of an image and transcript lines.
  • Importing and exporting tools
  • Import TEI P5 or JSON data directly into TILE or create a script to import from various XML formats.
  • Export data as TEI or JSON, scripts can generate an output into any XML, HTML, or text-based format. Additional import/export tools can be developed as plugins.

Semi-automated line recognizer

Implemented in javascript, the TILE semi-automated line recognizer annotates images by detecting individual lines on an image, and selects regions of an image based upon those lines.

Plugin architecture

Extend the core functionality of TILE by creating a plugin that can manipulate TILE’s interface, filter and process data, and connect to other tools.

Development and versions

TILE is a collaboration between the Maryland Institute for Technology in the Humanities (Doug Reside, Dave Lester) and Indiana University (Dot Porter, John Walsh), and supported by an NEH Preservation and Access grant. Its team has partnered with Editing Modernism in Canada, and is looking for additional partners to support and extend the software.

Tile version 1.0 was released in July 2011, with an interface added for tagging and annotating manuscript images (Image Annotation), an interface added for automatically tagging lines using basic image analysis tools (Auto Line Recognizer), dialog tools for loading and saving data, support for TEI P5 formatted XML data etc.


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