Automatically identifying complementary digital fonts based on digital text in electronic documents

• US 10,445,408 B2
• Filed: 03/04/2016
• Issued: 10/15/2019
• Est. Priority Date: 03/04/2016
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Inc.
• Inventors: Sinn, Richard, Donahue, Thomas, Young, Allan
• Primary Examiner(s): Hong, Stephen S
• Assistant Examiner(s): Ludwig, Matthew J
• Application Number:
  US15/061,796
• Publication Number:
  US 20170255597A1
• Time in Patent Office: 1,320 Days
• Field of Search: 715269
• 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. A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computing device to:

identify a digital font of digital text in an electronic document rendered on the computing device;

determine one or more font characteristics of the digital font of the digital text in the electronic document rendered on the computing device;

determine a heading text structure, a paragraph text structure, and a caption text structure corresponding to the electronic document;

identify a first subset of digital fonts complementary to the digital font for the heading text structure, a second subset of digital fonts complementary to the digital font for the paragraph text structure, and a third subset of digital fonts complementary to the digital font for the caption text structure from a plurality of digital fonts stored on a remote server based on the one or more font characteristics of the digital font, the heading text structure, the paragraph text structure, and the caption text structure;

render, by the computing device, a first set of visual representations of the first subset of digital fonts, a second set of visual representations of the second subset of digital fonts, and a third set of visual representations of the third subset of digital fonts, the first set of visual representations comprising preview glyphs portraying the first subset of digital fonts; and

based on a user interaction with a visual representation of the first set of visual representations, the second set of visual representations, or the third set of visual representations, downloading at least one complementary font from the first subset of digital fonts, the second subset of digital fonts, or the third subset of digital fonts.

2. The non-transitory computer readable medium of claim 1, further comprising instructions that, when executed by the at least one processor, cause the computing device to:

determine a second paragraph text structure corresponding to the electronic document; and

identify a fourth subset of digital fonts complementary to the digital font for the second paragraph text structure.

3. The non-transitory computer readable medium of claim 1, further comprising instructions that, when executed by the at least one processor, cause the computing device to:

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

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

identify the first subset of digital fonts, the second subset of digital fonts, and the third subset of digital fonts-based on the text structure of the digital text in the electronic document rendered on the computing device.

4. The non-transitory computer readable medium of claim 3, wherein the text structure corresponding to the digital text in the electronic document comprises an existing paragraph text structure that includes the digital text.

5. The non-transitory computer readable medium of claim 4, further comprising instructions that, when executed by the at least one processor, cause the computing device to identify the second subset of digital fonts based on the text structure by:

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

6. The non-transitory computer readable medium of claim 3, further comprising instructions that, when executed by the at least one processor, cause the computing device to identify the first subset of digital fonts, the second subset of digital fonts, and the third subset of digital fonts by:

generating a formatting model with regard to the electronic document, the formatting model comprising the heading text structure, the paragraph text structure, and the caption text structure; and

in response to determining that the text structure corresponding to the digital text in the electronic document is different than the heading text structure, the paragraph text structure, and the caption text structure from the formatting model, searching a database comprising the plurality of digital fonts for digital fonts corresponding to the heading text structure, the paragraph text structure, and the caption text structure.

7. The non-transitory computer readable medium of claim 1, further comprising instructions that, when executed by the at least one processor, cause the computing device to:

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

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

identify the first subset of digital fonts, the second subset of digital fonts, and the third subset of digital fonts by comparing the one or more font characteristics to the metadata corresponding to the plurality of digital fonts; and

generate the first set of visual representations, the second set of visual representations, and the third set of visual representations based on the metadata corresponding to the plurality of digital fonts.

8. The non-transitory computer readable medium of claim 1, further comprising instructions that, when executed by the at least one processor, cause the computing device to:

identify a second digital font applied to a second digital text corresponding to a second text structure in the electronic document rendered on the computing device; and

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

identify the first subset of digital fonts based on the second digital font and the second set of one or more font characteristics and the second text structure.

9. A system 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 processor 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;

determine a heading text structure, a paragraph text structure, and a caption text structure corresponding to the electronic document;

analyze the database comprising the plurality of digital fonts based on the set of font characteristics to identify, from the plurality of digital fonts, a first subset of digital fonts complementary to the digital font for the heading text structure, a second subset of digital fonts complementary to the digital font for the paragraph text structure, and a third subset of digital fonts complementary to the digital font for the caption text structure;

provide, for display via the computing device, a first set of visual representations of the first subset of digital fonts, a second set of visual representations of the second subset of digital fonts, and a third set of visual representations of the third subset of digital fonts, the first set of visual representations comprising preview glyphs portraying the first subset of digital fonts; and

in response to receiving, from the computing device, an indication of at least one complimentary digital font from the first subset of digital fonts, the second subset of digital fonts, or the third subset of digital fonts based on a user interaction with a visual representation of the first set of visual representations, the second set of visual representations, or the third set of visual representations, download to the computing device, the 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 9, wherein the text structure corresponding to the digital text in the electronic document comprises an existing paragraph text structure that includes the digital text.

13. The system of claim 11, further comprising instructions that, when executed by the at least one processor, cause the system to identify the first subset of 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, the set of font characteristics, and the heading text structure, 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, further comprising instructions that, when executed by the at least one processor, cause the system to:

determine a second paragraph text structure corresponding to the electronic document; and

identify a fourth subset of digital fonts complementary to the digital font for the second paragraph text structure.

15. A computer-implemented method comprising:

identifying a digital font of digital text in an electronic document;

determining one or more font characteristics of the digital font of the digital text in the electronic document;

determining a heading text structure, a paragraph text structure, and a caption text structure corresponding to the electronic document;

identifying a first subset of digital fonts complementary to the digital font for the heading text structure, a second subset of digital fonts complementary to the digital font for the paragraph text structure, and a third subset of digital fonts complementary to the digital font for the caption text structure from a plurality of digital fonts stored on a remote server based on the one or more font characteristics of the digital font, the heading text structure, the paragraph text structure, and the caption text structure;

rendering a first set of visual representations of the first subset of digital fonts, a second set of visual representations of the second subset of digital fonts, and a third set of visual representations of the third subset of digital fonts, the first set of visual representations comprising preview glyphs portraying the first subset of digital fonts; and

based on a user interaction with a visual representation of the first set of visual representations, the second set of visual representations, or the third set of visual representations, downloading at least one complementary font from the first subset of digital fonts, the second subset of digital fonts, or the third subset of digital fonts.

16. The method of claim 15, further comprising:

determining a second paragraph text structure corresponding to the electronic document; and

identifying a fourth subset of digital fonts complementary to the digital font for the second paragraph text structure.

17. The method of claim 15, further comprising:

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

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

identifying the first subset of digital fonts, the second subset of digital fonts, and the third subset of digital fonts based on the text structure of the digital text in the electronic document.

18. The method of claim 17, wherein the text structure corresponding to the digital text in the electronic document comprises an existing paragraph text structure that includes the digital text.

19. The method of claim 15, wherein identifying the second subset of digital fonts based on the text structure comprises:

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

20. The method of claim 15, further comprising:

identifying a second digital font applied to a second digital text corresponding to a second text structure in the electronic document rendered on a computing device; and

determining a second set of one or more font characteristics of the second digital font of the second digital text in the electronic document rendered on the computing device; and

identifying the first subset of digital fonts based on the second digital font, the second set of one or more font characteristics, and the second text structure.