Why Text and Image Moderation Must Be Treated as Separate Signals

Content moderation for customer-support photos involves multiple pipeline stages — including OCR, normalization, and caching — before any safety decision is made. Text-based checks can evaluate extracted words and captions but cannot confirm whether the underlying image pixels are safe or whether OCR accurately captured the content's meaning. A key risk arises when systems treat an accepted caption as equivalent to an approved image, silently converting an unavailable image signal into a pass verdict. Engineers are advised to track three distinct signal states — pass, fail, and unknown — rather than collapsing partial results into a single moderation score. Reporting metrics should reflect how many admitted photos reached each required signal, ensuring that a text-only result is never counted as a complete moderation outcome when image analysis fails.