Redaction Analysis

2.6 million redaction bar locations mapped by spatial analysis across all EFTA documents. The <code>ocr_text</code> column contains text the scanner produced when its OCR engine tried to read the black bars — ~98% is garbled noise, not recovered hidden content. The EFTA documents use baked-in image redactions (not removable PDF overlays). Also includes 107,000 automatically extracted entities (names, dates, amounts).

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Document Summary

849,655 records

Per-document redaction summary. <code>text_near_bar_count</code> = bars where OCR text was detected nearby (mostly noise).

id, pdf_path, efta_number, total_redactions, text_near_bar_count, proper_redactions, has_ocr_text, scanned_at, dataset_source

Extracted Entities

107,422 records

Names, phone numbers, amounts, emails, and organizations extracted from document text.

id, source_redaction_id, efta_number, page_number, entity_type, entity_value, context, dataset_source

Redaction Locations

2,587,102 records

Detected redaction bars with spatial coordinates. <code>redaction_type</code>: text_near_bar (OCR text found near bar), proper_redaction (no text detected), white_rectangle. The <code>ocr_text</code> column is scanner noise from the OCR engine attempting to read black bars — not recovered hidden text.

id, pdf_path, efta_number, page_number, redaction_type, rect_x0, rect_y0, rect_x1, rect_y1, ocr_text, confidence, detected_at, dataset_source

Sqlite Sequence

2 records

name, seq

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Redaction Analysis

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