A document workflow is more than extraction
Reliable document processing begins before a model reads a page. The system should verify who supplied the file, which engagement may use it, its type and size, malware status, and immutable content hash.
Only cleared files should enter extraction. The original should remain traceable so every finding can point back to its source.
Separate stages and permissions
A controlled pipeline makes each stage visible and retryable.
- Select or upload explicitly authorized files
- Quarantine and scan before processing
- Extract text and metadata within limits
- Validate required fields and confidence
- Route uncertain results to a reviewer
- Publish approved evidence to downstream analysis
Measure accuracy in context
Field-level accuracy is useful, but operating performance also depends on missing-document detection, exception handling, time to review, and whether downstream users trust the result.
Use representative documents, including poor scans, unusual layouts, duplicates, and conflicting versions. A polished sample set alone will overstate readiness.