---
title: "How to Build an AI Text-to-Flowchart Converter Using OpenAI and Vue Diagram"
published_at: "2025-08-18T14:12:58+00:00"
modified_at: "2025-08-18T14:13:01+00:00"
url: "https://www.syncfusion.com/blogs/post/ai-text-to-flowchart-vue-diagram"
excerpt: "Effortlessly build an AI text-to-flowchart tool in Vue using OpenAI and Syncfusion Diagram for smart, visual workflow conversion."
taxonomy_category:
  - "AI"
  - "Development"
  - "Smart AI components"
  - "Vue"
taxonomy_post_tag:
  - "AI text to flowchart"
  - "AI-powered diagram tool"
  - "Diagram generator"
  - "OpenAI"
  - "OpenAI integration with Vue"
  - "Vue Diagram"
  - "Vue Diagram Library"
  - "Vue.js"
---

# How to Build an AI Text-to-Flowchart Converter Using OpenAI and Vue Diagram

[Shyam G](https://www.syncfusion.com/blogs/author/shyamg)

![How to Build an AI Text-to-Flowchart Converter Using OpenAI and Vue Diagram](https://www.syncfusion.com/blogs/wp-content/uploads/2025/08/How-to-Build-an-AI-Text-to-Flowchart-Converter-Using-OpenAI-and-Vue-Diagram-1.jpg)


**TL;DR:** Developers often spend hours manually creating flowcharts. This guide shows how to automate that process using OpenAI and Syncfusion® Vue Diagram to convert text into structured, professional flowcharts instantly.

[Flowcharts](https://en.wikipedia.org/wiki/Flowchart)
 are essential for visualizing processes, defining workflows, and illustrating systems across development and business contexts. While they are vital for developers, manually constructing them is tedious. What if you could describe a process in plain text and instantly generate a visual diagram? This is where AI comes into play, providing intelligent automation to effortlessly convert textual descriptions into visual flowcharts.

In this blog, we’ll see how to build an AI-powered text-to-flowchart converter using OpenAI and Syncfusion® [Vue Diagram](https://www.syncfusion.com/vue-components/vue-diagram)
 library.

Let’s get started!

## Prerequisites

Before you begin, ensure your environment is ready with the following:

- [Node.js](https://nodejs.org/en) and [NPM](https://www.npmjs.com/) packages.
- Syncfusion®[Vue Diagram Library](https://ej2.syncfusion.com/vue/documentation/diagram/getting-started-vue-3) and **AI SDKs**.
- A valid API key from [OpenAI](https://openai.com/) or an alternative AI provider, such as [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service) .

## Workflow overview

- **User input**: Provide a text description of a process.
- **AI processing**: Sent the input text to OpenAI’s API for analysis.
- **Data generation**: OpenAI generates a structured [Mermaid](https://mermaid.js.org/syntax/flowchart.html) representation of the flowchart.
- **Data transformation**: The structured data is then converted into the Vue Diagram component’s nodes and connectors.
- **Visualization**: The Vue Diagram component renders a visual flowchart.

Follow along as we delve into the steps to bring this intelligent solution to life!

## Implement an AI-powered text-to-flowchart converter

### Step 1: Set up the Vue project

First, [create a Vue project](https://vuejs.org/guide/quick-start)
 using the following commands.

```
npm create vue@latest smart-flowchart-vue
cd smart-flowchart-vue
npm install
```

Then, install the [Vue Diagram component](https://ej2.syncfusion.com/vue/documentation/diagram/getting-started-vue-3)
 and OpenAI libraries.

```
npm install @syncfusion/ej2-vue-diagrams --save
npm install openai --save
```

### Step 2: Configure the AI service

To integrate the AI capabilities, configure the [Azure OpenAI](https://azure.microsoft.com/en-in/products/ai-services/openai-service)
 service by specifying the **resource name**, ** API key**, and the ** AI model**. The following code initializes the AI service and defines a utility function to handle requests.

```
import { generateText } from "ai"
import { createAzure } from '@ai-sdk/azure';
const azure = createAzure({
    resourceName: 'RESOURCE_NAME',
    apiKey: 'API_KEY',
});

const aiModel = azure('MODEL_NAME'); // Update the model here
export async function getAzureChatAIRequest(options: any) {
    try {
        const result = await generateText({
            model: aiModel,
            messages: options.messages,
            topP: options.topP,
            temperature: options.temperature,
            maxTokens: options.maxTokens,
            frequencyPenalty: options.frequencyPenalty,
            presencePenalty: options.presencePenalty,
            stopSequences: options.stopSequences
        });
        return result.text;
    } catch (err) {
        console.error("Error occurred:", err);
        return null;
    }
}
```

Replace the **RESOURCE_NAME**, ** API_KEY**, and ** MODEL_NAME** with your Azure AI service details.

### Step 3: Configure the Vue Diagram Library for visualization

The **Vue Diagram** is a feature-rich architecture diagram library for visualizing, creating, and editing interactive diagrams. Its intuitive API and rich feature set make it easy to create, style, and manage flowcharts.

In the **app.vue** file, define and configure the Vue Diagram component to construct our flowchart generator, as shown below.

```
<ejs-diagram ref="diagram"
             width='100%' 
             height='900px' 
             :drawingObject='{}'
             :selectionChange='selectionChange' 
             :historyChange='historyChange' 
             :tool='diagramTool'
             :snapSettings='{ horizontalGridlines: gridlines, verticalGridlines: gridlines }'
             :scrollSettings="{ scrollLimit: 'Infinity' }" 
             :layout="diagramLayout"
             :dataSourceSettings="dataSourceSettings" 
             :scrollChange="diagramScrollChange"
             :getNodeDefaults='getNodeDefaults' 
             :getConnectorDefaults='getConnectorDefaults'
             :dragEnter='dragEnter'>
</ejs-diagram>
```

This setup creates a responsive diagram with a flowchart layout, customizable ruler, snap and scroll settings, and some event bindings.

### Step 4: Create an AI-assist dialog for user input

Create a dialog interface that facilitates AI-assisted flowchart generation. The interface will offer suggested prompts, a textbox for user input, and a button to send input the OpenAI for processing.

Refer to the following code example.

```
<ejs-dialog ref="dialog" header='headerTemplate' :showCloseIcon='true' :isModal='true' content='contentTemplate' target='.control-section' width='540px' :visible='false' height='310px'>
    <template #headerTemplate>
        <span class="e-icons e-assistview-icon" style="color: black;width:20px; font-size: 16px;"></span> AI Assist
    </template>
    <template #contentTemplate>
        <p style="margin-bottom: 10px;font-weight:bold;">Suggested Prompts</p>
        <ejs-button id="btn2"
                    style="flex: 1; overflow: visible; border-radius: 8px;margin-bottom: 10px;"
                    @click='(e) => { $refs.dialog.hide(); convertTextToFlowChart(e.target.value); }'>
                    Flowchart for online shopping
        </ejs-button>
        <ejs-button id="btn1"
                    style="flex: 1; overflow: visible; border-radius: 8px;margin-bottom: 10px;"
                    @click='(e) => { $refs.dialog.hide(); convertTextToFlowChart(e.target.value); }'>
                    Flowchart for Mobile banking registration
        </ejs-button>
        <ejs-button id="btn3"
                    style="flex: 1; overflow: visible; border-radius: 8px;margin-bottom: 10px;"
                    @click='(e) => { $refs.dialog.hide(); convertTextToFlowChart(e.target.value); }'>
                    Flowchart for Bus ticket booking
        </ejs-button>
        <div style="display: flex; align-items: center; margin-top: 20px;">
            <ejs-textbox ref='textBox' id="textBox" class="db-openai-textbox" style="flex: 1;" placeholder='Please enter your prompt here...' width='450' :input='onTextBoxChange' />
            <ejs-button ref="sendButton" id="db-send" iconCss='e-icons e-send' :isPrimary='true' :disabled='true' style="margin-left: 2px; height: 32px; width: 32px;" @click='dbSend'></ejs-button>
        </div>
    </template>
</ejs-dialog>
```

This configuration in the **app.vue** file sets up event listeners and handlers to manage user interactions, such as entering a prompt and triggering the conversion of text to a flowchart.

### Step 5: Integrating OpenAI

Finally, implement the**convertTextToFlowchart** function, which is the main driver for transforming AI-generated text into a flowchart using the Vue Diagram API.

````
convertTextToFlowChart: async function (inputText: string) {
    const diagram = this.$refs.diagram.ej2Instances;
    this.showLoading();
    const options = {
        messages: [
            {
                role: 'system',
                content: 'You are an assistant tasked with generating mermaid flow chart diagram data sources based on user queries'
            },
            {
                role: 'user',
                content: ` Generate only the Mermaid flowchart code for the process titled "${inputText}". Use the format provided in the example below, but adjust the steps, conditions, and styles according to the new title: **Example Title:** Bus Ticket Booking ** Example Steps and Mermaid Code:**
                    graph TD
                          A([Start]) --> B[Choose Destination]
                          B --> C{Already Registered?}
                          C -->|No| D[Sign Up]
                          D --> E[Enter Details]
                          E --> F[Search Buses]
                          C --> |Yes| F
                          F --> G{Buses Available?}
                          G -->|Yes| H[Select Bus]
                          H --> I[Enter Passenger Details]
                          I --> J[Make Payment]
                          J --> K[Booking Confirmed]
                          G -->|No| L[Set Reminder]
                          K --> M([End])
                          L --> M
                          style A fill:#90EE90,stroke:#333,stroke-width:2px;
                          style B fill:#4682B4,stroke:#333,stroke-width:2px;
                          style C fill:#32CD32,stroke:#333,stroke-width:2px;
                          style D fill:#FFD700,stroke:#333,stroke-width:2px;
                          style E fill:#4682B4,stroke:#333,stroke-width:2px;
                          style F fill:#4682B4,stroke:#333,stroke-width:2px;
                          style G fill:#32CD32,stroke:#333,stroke-width:2px;
                          style H fill:#4682B4,stroke:#333,stroke-width:2px;
                          style I fill:#4682B4,stroke:#333,stroke-width:2px;
                          style J fill:#4682B4,stroke:#333,stroke-width:2px;
                          style K fill:#FF6347,stroke:#333,stroke-width:2px;
                          style L fill:#FFD700,stroke:#333,stroke-width:2px;
                          style M fill:#FF6347,stroke:#333,stroke-width:2px;
                          Note: Please ensure the generated code matches the title "${inputText}" and follows the format given above. Provide only the Mermaid flowchart code, without any additional explanations, comments, or text. `
            }
        ],
    }
    try {
        let jsonResponse = await getAzureChatAIRequest(options);
        jsonResponse = jsonResponse.replace('```mermaid', '').replace('```', '');
        diagram.loadDiagramFromMermaid(jsonResponse);
        this.hideLoading();
    } catch (error) {
        console.error('Error:', error);
        this.convertTextToFlowChart(inputText);
    }
},
````

The core function **convertTextToFlowchart** sends a request to the OpenAI API with a user-initiated prompt to generate Mermaid structured flowchart data from text descriptions. It then uses the Vue Diagram’s [loadDiagramFromMermaid](https://ej2.syncfusion.com/vue/documentation/api/diagram/#loaddiagramfrommermaid)
 method to render the flowchart.

After executing the above code examples, we’ll get the following flowchart.


Vue Diagram Library with AI-powered text-to-flowchart converter

## GitHub reference

For more details, refer to the [GitHub demo.](https://github.com/syncfusion/smart-ai-samples/blob/master/vue/src/ai-components/ai-diagram)

## Conclusion

Thanks for reading! In this blog, we’ve explored how to build an AI-powered smart text-to-flowchart converter using the Syncfusion® [Vue Diagram](https://www.syncfusion.com/vue-components/vue-diagram)
component.

This approach eliminates manual design, allowing users to generate structured, professional flowcharts in seconds. Whether you’re mapping business processes, software logic, or decision trees, this solution enhances efficiency and clarity.

Existing customers can download the latest version of Essential Studio® from the [license and downloads](https://www.syncfusion.com/account)
 page. If you are not a customer, try our 30-day [free trial](https://www.syncfusion.com/downloads)
 to check out these features.

If you have questions, contact us through our [support forum](https://www.syncfusion.com/forums)
, [feedback portal](https://www.syncfusion.com/feedback)
, or [support portal](https://support.syncfusion.com/)
. We are always happy to assist you!

## Related Blogs



[AI-Powered Text-to-Flowchart Converter Using OpenAI and Angular Diagram Library](https://www.syncfusion.com/blogs/post/ai-powered-angular-text-to-flowchart)



[AI-Powered Text-to-Flowchart: Convert Text into Diagrams Using OpenAI and Blazor](https://www.syncfusion.com/blogs/post/smart-text-to-flowchart-app-in-blazor)



[Build AI-Powered Text-to-Flowchart Converter Using OpenAI and React Diagram Library](https://www.syncfusion.com/blogs/post/react-text-to-flowchart-converter)



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