Auto-Detect Should Not Auto-Apply: Building Reviewable Redaction Overlays

📰 Dev.to · byeval

Learn to build reviewable redaction overlays, enabling manual review of auto-detected edits before application, and understand the importance of this approach in maintaining data integrity.

intermediate Published 23 Apr 2026

Action Steps

Design a system to auto-detect edits, but do not auto-apply them.
Create a review interface to display auto-detected edits as tagged, editable overlay objects.
Implement a manual review process to verify the accuracy of auto-detected edits before application.
Use machine learning algorithms to improve the accuracy of auto-detection over time.
Test and refine the system to ensure it meets the required standards of accuracy and reliability.

Who Needs to Know This

Developers, data scientists, and product managers can benefit from this approach to ensure that auto-detected edits are accurate and reliable, and to maintain transparency in the editing process.

Key Insight

💡 Manual review of auto-detected edits is crucial to maintaining data integrity and ensuring the accuracy of edits.