Image Editing Tool Recommendation Using Prompt Intent Prediction

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Solution Overview

Problem

Users often attempt to use digital image editing tools for functions they were not designed for, leading to undesirable results.

Innovation Solution

A system and method that utilizes a tool class prediction model to analyze user prompts and recommend the most suitable image editing tool based on the intended function, using a machine learning model trained on a dataset of tool classes to provide accurate recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users attempt to use an editing tool for a function it was not designed to perform, then the user may not get the desired image editing results

Engineering Contradiction:

Improveimage editing resultsVSAvoidtool selection

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system analyzes user prompts and provides feedback by recommending the appropriate editing tool that matches the intended function, creating a closed-loop system where the recommendation is based on analyzing the user's intent and feeding back the correct tool selection

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The tool recommendation system acts as an intermediary between the user and the editing tools, analyzing the user's prompt and mediating by suggesting the most suitable tool to achieve the desired editing function

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If multiple different editing tools are available, then users have more functionality options, but users may have difficulty selecting the appropriate tool for their needs

Engineering Contradiction:

Improveediting function optionsVSAvoidtool selection

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system enables self-service by automatically analyzing user prompts and generating tool recommendations without requiring users to manually search or understand the capabilities of each tool, making the system adapt to user needs autonomously

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the parameter of tool selection from manual user choice to automated recommendation based on prompt analysis, transforming how users interact with the multiple available tools

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12585379B2Methods and systems for generating image tool recommendations

Publication Date: 2026.03.24 CANVA PTY LTD

AI summary

Described embodiments generally relate to a method of generating an image editing tool recommendation. The method includes receiving a prompt entered by a user; processing the prompt using a tool class prediction model to predict a tool class associated with the prompt, wherein the tool class is associated with at least one image editing tool that is configured to perform an image editing function described by the prompt; determining an image editing tool associated with the predicted tool class; and outputting a recommendation to the user directing the user to the determined image editing tool.