This enhancement allows you to configure your Text Extraction task so that extracted text from images can be automatically set on specific fields within your project.
🚀 What’s New?
You can now assign a Field Key to each extracted text value. When configured, the extracted content will automatically populate the corresponding project fields after the workflow runs.
⚙️ How to Configure Field Mapping
1️⃣ Edit the Task
- Open your AI Workflow
- Click to edit an existing Text Extraction task
2️⃣ Assign Field Keys
- For each extracted text value, you will see an option to enter a Field Key
- Enter the appropriate field key where the value should be stored
- Field keys must match exactly (capitalization and punctuation)
🔑 The Field Key determines which project field will be updated.
3️⃣ Field Key Is Optional
- The field key can be left blank
- If left blank, the extracted text will still process, but it will not be mapped to a specific field
What Happens When the Workflow Runs?
User Experience Flow
1️⃣ Configure a Text Extraction task to set values on fields
2️⃣ Execute the workflow that contains this task on a project
3️⃣ Once the task completes, the mapped fields are automatically set
4️⃣ Open the project to view the extracted values populated in the corresponding fields
✅ If everything is configured correctly, you will see the extracted text values directly on the project fields after workflow is run.
💡 Best Practices
- Use consistent and accurate field keys (For example: inverter_model_number_ai)
- Create new fields and configure them as read-only and admin-only. Add a clear description indicating that the fields contain AI-populated data.
- Test your configuration on a sample project before rolling out widely
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