AI Image Upload

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Overview

This component not only recognizes text, graphics, tables, and ID information in images, but also integrates advanced AI technologies such as image classification, object detection, and semantic segmentation to perform scene understanding and logical judgment on image content. For example, it can identify complex scenarios such as fire smoke, helmet compliance, and abnormal equipment states. It extracts key information from uploaded images and automatically fills the corresponding form fields, elevating the process from “information extraction” to “intelligent decision-making.” Key advantages of this feature include:

• Proactive risk alerts
• End-to-end automation
• High-precision scene adaptation

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Use Cases

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AI Image Information Extraction

This feature extracts key information from uploaded images and outputs it as fields. Typical scenarios include:

• Price tags: Extract retail price, member price, product name, and specifications from price tag images uploaded by stores.
• Receipts: Extract product name, quantity, specification, unit price, and amount from receipt images.
• Product appearance information: Recognize batch numbers, production dates, and QR Code information on product packaging.
• Passports: Extract name, passport number, and validity period from passport images.

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AI Image Recognition and Analysis

This feature identifies specific elements in images to verify that they meet design requirements or layout standards. Typical scenarios include:

• Packaging design verification: Check whether packaging designs contain errors, such as mirrored logos or missing website addresses.
• Merchandising layout inspection: Evaluate whether store layouts meet standards, including promotion tables, food tasting areas, and product display areas.
• Chain store campaign inspection: Inspect campaign setups in stores, such as banners, LED screens, and posters.

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Procedure

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Entry Point

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Write the Prompt

Keep the following in mind when writing a prompt:

3. We recommend that the prompt include the following:

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Optimize the Prompt

1. Auto-tuning: Click Optimize and generate form fields. AI refines the prompt to make it more professional and standardized.
2. Multi-round continuous tuning:
3. To add, modify, or delete fields, append the following instructions at the end of the prompt:

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Configure the Form Field List

Illustration	Configuration item	Description
	Field name	The field name recognized from the image by AI. Optimizing the prompt automatically generates a form field list. Based on the prompt, AI identifies the fields to extract from the image, infers the data type of each field, and recommends a default component type accordingly.
	Form field	Select the form field to fill with the recognition result. Each field automatically matches an existing form field with the same data type and name. If a match exists, the field is bound directly; otherwise, a new form field is created.
	Component type	The component type corresponding to the form field. This can only be selected when adding a new field. For newly added fields, select an appropriate component type as needed. If the new field uses a component type such as subform, Select, or Multiselect, the corresponding subform columns, options, and multiple-choice settings are automatically generated. After saving, the new field is added to the form page automatically.

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Test the Recognition Results

1. Click to upload an image. The system automatically runs recognition and displays the results.
2. Click Re-recognize to run recognition on the image again.
3. Click Confirm to save the configuration. Click Preview to preview the AI Image Upload component.

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Supported Component Types

The following table shows whether each component supports batch data export:

Component type	Component name	Export supported	Data type description
Common components	Single-line text	Supported	Text format
	Multi-line text	Supported	Text format
	Numerical	Supported	Number
	Rating	Supported	Number
	Select	Supported	Text format
	Checkbox	Supported	Text format; multiple options are separated by commas
	Date range	Supported	Date format
	Date	Supported	Date format
	User	Supported	Text format
	Department	Supported	Text format
	Attachment	❌ Not supported	/
	Word template	❌ Not supported	/
	Signature	❌ Not supported	/
	Smart invoice	❌ Not supported	/
	ID number	❌ Not supported	/
	Phone number	❌ Not supported	/
	Subform	Supported	Text format
Premium components	Dropdown Select	Supported	Text format
	Dropdown Checkbox	Supported	Text format; multiple options are separated by commas
	Cascade Select	Supported	Text format
	Country/Region	Supported	Text format
	Address	Supported	Text format
	Location	❌ Not supported	/
	Associated form	Supported	Text format
	Serial number	❌ Not supported	/
	Organization	❌ Not supported	/
	UnionPay	❌ Not supported	/
	Budget control	❌ Not supported	/
	Group	❌ Not supported	/
	Associated query	❌ Not supported	/
	Rich Text	❌ Not supported	/
	Image and text display	❌ Not supported	/

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FAQ

Q: Why are the recognition results inaccurate? A: Check whether the prompt is clear enough. Use the tuning feature to refine it if needed. Q: How do I choose the right component type? A: The system recommends a suitable component type based on the recognized data format. Select one from the recommended list. Q: Nothing happens after I upload an image. A: Make sure the image format is correct and the size is within the limit. Also check that the network connection is working properly.