Using Affinda in 'Embedded Mode' enables users to integrate Affinda’s document validation UI directly into their own applications, creating a seamless experience for end-users. This method is designed to keep users within your application ecosystem while leveraging Affinda’s powerful extraction and processing capabilities.

Key Features:

• In-app data display: Processed documents and extracted data are rendered directly within your application, removing the need for users to log in to multiple platforms.
• Data integrity: Delivers the benefits of a 'human in the loop' solution to ensure the data extracted is 100% accurate
• Instant learning loop: When using the validation UI, the data from these user corrections creates a feedback loop that improves model performance over time
• Real-time integration: Data is processed and made available instantly for users.
• Customizable experience: Adjust the interface to align with your branding and user experience requirements. See Configuring the Embeddable Validation Tool for more information.

How it works:

1. Within the API or webhook response from any documents sent to Affinda, we return a value called meta.reviewUrl
2. This signed and authenticated URL can be embedded as an iFrame within your platform and allow members of your team to validate the predicted data and add any additional data points
3. Once a document is 'Confirmed', the validated data can be requested or more commonly sent via a webhook
4. This data is ingested into your platform for downstream processing with full confidence in the accuracy

Each signed URL is valid for 60 minutes, and as such, we recommend not storing the URL locally. If customers want to access the validation tool for a document that has already been created in the Affinda system, we recommend retrieving the new URL only when the user clicks to validate the document.