Pasting content from a clipboard buffer as structured tabular data. A computer system determines a data type of content within a clipboard buffer. Based on the data type of the content, the computer system identifies a tabular pattern analysis technique to apply to the content. Based on applying the tabular pattern analysis technique to the content, the computer system identifies a portion of tabular content within the content. Using a clipboard application programming interface, the computer system presents the portion of tabular content to an application as paste data that is structured as a set of rows and a set of columns.

An inventory control system comprises an object storage device, a display device, and one or more processors. The object storage device includes a plurality of compartments, in which each compartment has a plurality of storage locations for storing objects. The display device is configured to display information about the object storage device. The one or more processors are configured to establish a description database of objects configured for storage in the inventory control system. The one or more processors retrieve object keywords corresponding to objects stored in the plurality of storage locations of one of the plurality of compartments. The one or more processors also generate a text block based on the retrieved object keywords. On the display device, the one or more processors display a representation of the plurality of compartments of the object storage device with the text block applied to the one of the plurality of compartments.

An inventory control system comprises an object storage device, a display device, and one or more processors. The object storage device includes a plurality of compartments, in which each compartment has a plurality of storage locations for storing objects. The display device is configured to display information about the object storage device. The one or more processors are configured to establish a description database of objects configured for storage in the inventory control system. The one or more processors retrieve object keywords corresponding to objects stored in the plurality of storage locations of one of the plurality of compartments. The one or more processors also generate a text block based on the retrieved object keywords. On the display device, the one or more processors display a representation of the plurality of compartments of the object storage device with the text block applied to the one of the plurality of compartments.

A computer-implemented method, apparatus and program product use the spatial locations of words identified in an unstructured document to both reconstruct lines in the unstructured document and vertically partition the unstructured document. Key/value pairs may then be generated from one or more of the reconstructed lines by using one or more words to one side of the vertical partition as keys and using one or more words to the other side of the vertical partition as values.

A computer-implemented method, apparatus and program product use the spatial locations of words identified in an unstructured document to both reconstruct lines in the unstructured document and vertically partition the unstructured document. Key/value pairs may then be generated from one or more of the reconstructed lines by using one or more words to one side of the vertical partition as keys and using one or more words to the other side of the vertical partition as values.

Embodiments are directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

A content management system provides a mechanism for multi-file check-in features useful for content management. The content management system provides a way for users to check in multiple files in a single action. The system allows users to either select assets (e.g., files) or drag and drop multiple assets to be checked in. The assets being checked in are automatically matched with checked out assets, and once matched, unlocked.

A content management system provides a mechanism for multi-file check-in features useful for content management. The content management system provides a way for users to check in multiple files in a single action. The system allows users to either select assets (e.g., files) or drag and drop multiple assets to be checked in. The assets being checked in are automatically matched with checked out assets, and once matched, unlocked.

The present disclosure relates to systems, methods, and computer-readable media for using a variety of hypothesis tests to identify errors within tables and other structured datasets. For example, systems disclosed herein can generate a modified table from an input table by removing one or more entries from the input table. The systems disclosed herein can further leverage a collection of training tables to determine probabilities associated with whether the input table and modified table are drawn from the collection of training tables. The systems disclosed herein can additionally compare the probabilities to accurately determine whether the one or more entries include errors therein. The systems disclosed herein may apply to a variety of different sizes and types of tables to identify different types of common errors within input tables.

An example method of displaying a data visualization includes displaying a plurality of selectable fields and receiving user selections of two different fields from the plurality of selectable fields. The method also includes generating, in accordance with the received user selections, data marks to be displayed in a data visualization, each data mark corresponding to a respective retrieved tuple of data from a multidimensional database, where (i) each data mark has an x-position defined according to data for a first field in the respective tuple and (ii) each data mark has a y-position defined according to data for a second field in the respective tuple. The method also includes displaying the data visualization that includes the generated data marks.