# US 12,223,253 B2 · Dynamic copyfitting parameter estimation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,223,253 B2 - Document ID: US12223253B2 - Status: Granted - Kind: B2 - Application number: 17/984,143 - Filed: 2022-11-09 - Published: 2024-05-09 - Granted: 2025-02-11 - Earliest claimed: 2022-11-09 - Assignees: Adobe Inc. - Applicants: Adobe Inc. - Inventors: Rishav Agarwal; Vidisha Rama Hegde; Vasu Gupta; Sanyam Jain - Web page: https://patentgrep.com/patent/US12223253B2 ## CPC - G06F 40/103: Formatting, i.e. changing of presentation of documents (automatic justification G06F40/189; automatic line break hyphenation G06F40/191) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract Embodiments are disclosed for real-time copyfitting using a shape of a content area and input text. A content area and an input text for performing copyfitting using a trained classifier is received. A number of remaining characters in the content area is computed in real-time using the input, the computing performed in response to receiving additional input text, wherein computing, in real-time, the number of remaining characters in the content area using the input text includes generating, by the trained classifier, a set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area. The first set of one or more weights, the second set of one or more weights, the input text, and the additional input text, and a copyfitting parameter indicating a number of additional characters to be fitted into the content area are determined based on the content area. The copyfitting parameter and the number of remaining characters are presented in real-time. ## Claims ### Claim 1 A method comprising: receiving a content area of an electronic document and input text for copyfitting into the content area; classifying, by a trained classifier, a shape of the content area; generating a set of weights based on the classified shape of the content area, the set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area; determining copyfitting parameters for the content area based on content area features, the first set of one or more weights, the second set of one or more weights, and the input text, the copyfitting parameters including an indication of a number of remaining characters that can be inserted into the content area; and presenting, in real-time, the copyfitting parameters. ### Claim 2 (depends on 1) The method of claim 1, wherein the content area features include a minimum content area height, a maximum content area height, a content area width, and an area inside the content area. ### Claim 3 (depends on 2) The method of claim 2, wherein input text includes a number of characters, an area covered by the input text, and a width of the input text, wherein each character has a font, a character height, and a character width. ### Claim 4 (depends on 3) The method of claim 3, wherein determining the copyfitting parameters for the content area comprises: applying the first set of one or more weights to the number of characters, a number of words in the input text, a width of the input text, an average width of a character, and a line height; and applying the second set of one or more weights to the minimum content area height, the maximum content area height, the content area width, or the content area. ### Claim 5 (depends on 1) The method of claim 1, wherein the first set of one or more weights for the input text comprises a weight for one or more of a number of characters in an input text, a number of words in the input text, an area covered by the input text, or a sum of the widths of characters in the input text. ### Claim 6 (depends on 1) The method of claim 1, wherein the second set of one or more weights for the content area comprises a weight for one or more of a minimum width of a content area, a maximum width of the content area, a content area height, or area of the content area. ### Claim 7 (depends on 1) The method of claim 1, wherein the copyfitting parameters further indicate a number of additional words or lines that can be inserted into the content area. ### Claim 8 A system comprising: a memory component; and a processing device coupled to the memory component, the processing device to perform operations comprising: receiving a content area of an electronic document and input text for copyfitting into the content area; classifying, by a trained classifier, a shape of the content area; generating a set of weights based on the classified shape of the content area, the set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area; determining copyfitting parameters for the content area based on content area features, the first set of one or more weights, the second set of one or more weights, and the input text, the copyfitting parameters including an indication of a number of remaining characters that can be inserted into the content area; and presenting, in real-time, the copyfitting parameters. ### Claim 9 (depends on 8) The system of claim 8, wherein the content area features include a minimum content area height, a maximum content area height, a content area width, and an area inside the content area. ### Claim 10 (depends on 9) The system of claim 9, wherein input text includes a number of characters, an area covered by the input text, and a width of the input text, wherein each character has a font, a character height, and a character width. ### Claim 11 (depends on 10) The system of claim 10, wherein the operation of determining the copyfitting parameters for the content area causes the processing device to perform operations comprising: applying the first set of one or more weights to the number of characters, a number of words in the input text, a width of the input text, an average width of a character, and a line height; and applying the second set of one or more weights to the minimum content area height, the maximum content area height, the content area width, or the content area. ### Claim 12 (depends on 8) The system of claim 8, wherein the first set of one or more weights for the input text comprises a weight for one or more of a number of characters in an input text, a number of words in the input text, an area covered by the input text, or a sum of the widths of characters in the input text. ### Claim 13 (depends on 8) The system of claim 8, wherein the second set of one or more weights for the content area comprises a weight for one or more of a minimum width of a content area, a maximum width of the content area, a content area height, or area of the content area. ### Claim 14 (depends on 8) The system of claim 8, wherein the copyfitting parameters further indicate a number of additional words or lines that can be inserted into the content area. ### Claim 15 A method comprising: receiving training data that includes a shape of a content area, and input text, and a copyfitting label; and training a classifier using the training data to: classify a shape of the content areas to identify a matching content area shape, generate a set of weights based on the classified shape of the content area, and generate copyfitting parameters including a predicted number of remaining characters in the content area based on the input text, content area features, and the set of weights. ### Claim 16 (depends on 15) The method of claim 15, wherein the copyfitting label indicates an overfit, an underfit, or a proper fit of the input text to the content area. ### Claim 17 (depends on 16) The method of claim 16, wherein training the classifier using the training data comprises: inserting the input text into the shape of content area; generating the copyfitting parameters; and comparing the copyfitting parameters with the copyfitting label. ### Claim 18 (depends on 17) The method of claim 17, wherein the copyfitting label is a ground truth condition indicating an overfit or an underfit of the input text in the content area. ### Claim 19 (depends on 17) The method of claim 17 further comprising generating, using the comparison of the copyfitting parameters and the copyfitting label, a first set of weights for the input text by assigning a weight to a number of words in the input text, an area covered by the input text, and a sum of the widths of characters in the input text. ### Claim 20 (depends on 17) The method of claim 17 further comprising generating, using the comparison of the copyfitting parameters and the copyfitting label, a second set of one or more weights for the content area comprises a weight for one or more of a minimum width of a content area, a maximum width of the content area, a content area height, and an area of the content area.