Adobe, Inc.

Adobe Systems Inc.

Steve Dakin

Frederic Thevenet

David Rudi Sherry

Shawn Alan Gaither

Randy L Swineford

Lalit Vohra

Kirk B Gould

Abhishek Modi

Aditya Kumar Pandey

Yash Kumar Gupta

Ankit Pangasa

Mohit Bansal

Vishal K Gupta

Nishant Kaushik

Priyank Mathur

Rudi Sherry

Techniques are disclosed for identifying and populating static form fields using prior responses to similar form fields. An example method includes receiving an electronic form having, encoded in the form, static text and a static form field for containing information specific to a given user of the electronic form. Using an image recognition algorithm, a fillable form field candidate is identified based on a graphical representation of the static form field. An attribute of the fillable form field candidate can be identified based on the static text. A suggested response for populating the fillable form field candidate is selected from prior responses to other form fields having at least one attribute in common with the identified attribute of the fillable form field candidate. The prior responses are inputs obtained from or associated with the given user. The suggested response is presented to the user for subsequent acceptance or rejection.

Recognition and population of form fields in an electronic document

Techniques are disclosed for making an electronic document easier to use based on prior interactions with the same or a similar document by other users. An electronic document is presented to one or more users in an interactive environment. Interactions between the users and the document can be recorded as usage data. The usage data may represent one or more operations performed on the electronic document by the users. Based on the usage data, an enhanced user interaction feature associated with the document is configured. The electronic document and the enhanced user interaction feature are then presented to another user in another interactive environment. The enhanced user interaction feature makes using the document easier than it would be if the feature was not present, particularly for users who are unfamiliar with the document.

Crowdsourcing for documents and forms

Systems and methods disclosed herein provide form search results in response to form-specific search criteria. One embodiment involves receiving, at an electronic form search server, input providing form-specific search criteria comprising one or more field characteristics. The embodiment further involves identifying, by the electronic form search server, one or more forms as search results based on form-specific search criteria. The embodiment further involves providing, by the electronic form search server, the search results.

Methods and systems for using field characteristics to index, search for, and retrieve forms

In some embodiments, a document management application determines that a field of a document lacks a tag describing the field. The document management application also determines that data entered into the field of the document corresponds to a value of a field description included in a user profile. The document management application tags or otherwise associates the field with the field description based on the entered data corresponding to the value of the field description.

Automating data entry for fields in electronic documents

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San Jose, CA, United States of America

Steve Dakin