AUTOMATICALLY IDENTIFYING COMPLEMENTARY DIGITAL FONTS BASED ON DIGITAL TEXT IN ELECTRONIC DOCUMENTS

• US 20170255597A1
• Filed: 03/04/2016
• Published: 09/07/2017
• Est. Priority Date: 03/04/2016
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Sinn, Richard, Donahue, Thomas, Young, Allan
• Granted Patent: US 10,445,408 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 40/109 Font handling; Temporal or kinetic typography

Abstract

Systems and methods are disclosed for identifying digital fonts. In particular, in one or more embodiments, the disclosed systems and methods detect a digital font, font characteristics, and a text structure with regard to digital text in an electronic document. Moreover, in one or more embodiments, the disclosed systems and methods utilize the detected font characteristics and text structure to search for complementary digital fonts. In particular, one or more embodiments include systems and methods that generate a search query based on determined font characteristics and/or text structures and utilize the search query to automatically identify, recommend, and provide complementary digital fonts for utilization in the electronic document.

Claims

1. In a digital medium environment for creating or editing digital documents on a mobile device, a method of efficiently selecting and applying electronic fonts, comprising:

identifying, by at least one processor of the mobile device, a digital font of a portion of digital text in an electronic document rendered on the mobile device;

determining, by the at least one processor, one or more font characteristics of the digital font of the portion of digital text in the electronic document rendered on the mobile device;

identifying, by the at least one processor, a subset of digital fonts that are complementary to the digital font from a plurality of digital fonts stored on a remote server based on the determined one or more font characteristics of the digital font and metadata corresponding to the plurality of digital fonts stored on the remote server;

rendering, by the mobile device, a visual representation of the subset of digital fonts complementary to the digital font for selection; and

based on a user interaction with the visual representation of a complementary font of the subset of digital fonts stored on the remote server, downloading the complementary font to the mobile device from the remote server.

2. The method of claim 1, wherein the one or more font characteristics comprise at least one of:

a font classification, a weight, a width, an x-height, a contrast, or a capitalization style.

3. The method of claim 1, further comprising:

determining a text structure corresponding to the portion of digital text based on at least one of;

a size of the portion of digital text, a size of a bounding box corresponding to the portion of digital text, or a number of lines of the portion of digital text; and

identifying the subset of digital fonts based on the determined text structure of the digital text in the electronic document rendered on the mobile device.

4. The method of claim 3, wherein determining the text structure comprises identifying the text structure from a plurality of text structures, wherein the plurality of text categories comprise at least one of:

a heading text structure, a paragraph text structure, or a caption text structure.

5. The method of claim 4, wherein identifying the subset of digital fonts based on the text structure further comprises:

searching a database comprising the plurality of digital fonts for digital fonts corresponding to the text structure and the one or more font characteristics, wherein the database associates each of the plurality of digital fonts with a corresponding text structure and font characteristics.

6. The method of claim 4, wherein identifying the subset of digital fonts based on the text structure further comprises:

generating a formatting model with regard to the electronic document, the formatting model comprising a plurality of text structures;

determining that the text structure corresponds to one of the plurality of text structures;

searching the database of the plurality of digital fonts for digital fonts corresponding to the remaining plurality of text structures that do not correspond to the text structure.

7. The method of claim 1, further comprising:

receiving, from the remote server, the metadata corresponding to the plurality of digital fonts stored on the remote server without receiving the plurality of digital fonts;

utilizing metadata corresponding to the digital text to identify the one or more font characteristics; and

identifying the subset of digital fonts by comparing the one or more font characteristics to the metadata corresponding to the plurality of digital fonts.

8. The method of claim 1, further comprising:

identifying a second digital font applied to a second portion of digital text in the electronic document rendered on the mobile device; and

determining, by the at least one processor, a second set of one or more font characteristics of the second digital font of the second portion of digital text in the electronic document rendered on the mobile device; and

wherein identifying the subset of digital fonts comprises identifying a subset of digital fonts based on the second digital font and the second set of one or more font characteristics.

9. A system that allows computing devices to access complementary digital fonts from a database of digital fonts without having to have the database of digital fonts locally stored on the computing device comprising:

at least one processor; and

at least one non-transitory computer readable storage medium storing instructions that, when executed by the at least one server cause the system to;

maintain a database comprising a plurality of digital fonts each with associated font characteristics;

receive an indication of a set of font characteristics of a digital font of digital text in an electronic document at a computing device;

analyze the database of digital fonts based on the set of font characteristics to identify, from the plurality of digital fonts, a subset of digital fonts that are complementary to the digital font;

send metadata for the identified subset of complementary digital fonts to the computing device without sending the complementary digital fonts;

receive, from the computing device, an indication of a complementary digital font selected at the computing device; and

download to the computing device the selected complementary digital font.

10. The system of claim 9, wherein the set of font characteristics comprises at least one of:

a font classification, a weight, a width, an x-height, a contrast, or a capitalization style.

11. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to identify a text structure corresponding to the digital text in the electronic document based on at least one of:

a size of the digital text, a size of a bounding box corresponding to the digital font, or a number of lines of the digital text.

12. The system of claim 11, further comprising instructions that, when executed by the at least one processor, cause the system to identify the text structure by identifying the text structure from a plurality of text structures wherein the plurality of text structures comprise at least one of:

a paragraph text structure, a heading text structure, or a caption text structure.

13. The system of claim 12, further comprising instructions that, when executed by the at least one processor, cause the system to identify the subset of complementary digital fonts based on the text structure by searching the database comprising the plurality of digital fonts for digital fonts corresponding to the text structure and the one or more font characteristics, wherein the database associates each of the plurality of digital fonts with a corresponding text structure and font characteristics.

14. The system of claim 9, wherein the indication is a set of metadata associated with the digital font.

15. In a digital medium environment for creating or editing digital documents on a mobile device, a method of efficiently selecting and applying electronic fonts, comprising:

detecting, by at least one processor, a digital font applied to digital text in an electronic document rendered on a computing device;

determining, by the at least one processor, a text structure corresponding to a use of the digital text in the electronic document based on;

a size of the digital font applied to the digital text, a size of a bounding box corresponding to the digital text, and a number of lines of the digital text;

based on the digital font and the text structure corresponding to the use of the digital text in the electronic document, identifying, from a plurality of digital fonts on a remote server, a subset of digital fonts complementary to the digital font;

rendering a visual representation of the subset of digital fonts complementary to the digital font via a display screen of the computing device;

identifying a selection of a complementary digital font from the subset of digital fonts; and

downloading, from the remote server, the complementary digital font to the computing device in response to the selection of the complementary digital font.

16. The method of claim 15, wherein the text structure comprises at least one of:

a paragraph text structure, a heading text structure, or a caption text structure.

17. The method of claim 16, further comprising:

detecting, at the computing device, one or more font characteristics corresponding to the digital font, the font characteristics comprising at least one of;

a font classification, a weight, a width, an x-height, a contrast, or a capitalization style.

18. The method of claim 16, further comprising:

detecting a second digital font applied to a second digital text in the electronic document; and

based on the digital font and the second digital font, identifying the subset of digital fonts.

19. The method of claim 18, further comprising:

determining a second text structure corresponding to a use of the second digital text in the electronic document; and

based on the text structure and the second text structure, identifying the subset of digital fonts.

20. The method of claim 15, further comprising:

applying the downloaded complementary digital font to digital text in the electronic document.