The Data Extraction Report shows the results of AImagix Extract for a selected set of boxes: the attribute values pulled from each image, the confidence behind each value, and roll-up counts that help you find extractions that may need review. It is one of two AI reports under Reports. Its sibling, Section 7.1.4 Image Quality Analysis Report, covers image quality rather than extraction.
Note: See also the Glossary of Terms for Session Key and Box Identifier.
Note: Access to this report is governed by your Security Policy and project scope. The report is controlled by the Data Extraction Report permission, nested under Reports in the Security Policy, and you see only the projects your policy permits (Section 12.5 Security Policy).
Choose one of two query modes using the radio buttons at the top of the page.
By Project / Collection / Date Range (default):
By Session Key:
Click Apply to load the report, or Clear to reset the form. Before you run it, the results area reads Enter Query Parameters and click Apply to load the report. If no boxes match your criteria, the grid shows No Records Available.
Each extracted attribute value is assigned an OCR confidence score. WIB™ Review classifies that score into one of three levels using the thresholds your workspace sets in Section 14.3 Extraction Confidence Levels:
Thresholds use a 0 to 100 scale. The report numeric Confidence Score is shown on a 0 to 1 scale and corresponds directly (for example, 0.56 is 56, or Low, and 0.99 is 99, or High). Only values scored High pass. A value scored Medium or Low is below the acceptable threshold and requires review. You review flagged values in the Section 8.2 Verification module, where each attribute confidence appears as a color-coded percentage.
Note: Throughout this report, low confidence and below threshold both mean a value was not scored High.
Running the report produces two grids: a box summary grid at the top and a Detailed Scores grid below it.
Box summary grid. One row per box, each expandable with the plus control:
Note: Only Total Images reflects the entire box. Extracted Images, Low Confidence Images, and Extraction Date all respect the selected date range.
Expanding a box row opens a two-tab panel.
Images tab — one row per image:
Attributes tab — one row per attribute:
Detailed Scores grid. A flat grid showing every attribute score for every image in the query result. It is independent of which box row is expanded above. Columns: Box, Image, Extraction Date, Attribute, Value, Confidence Score, and Score Breakdown Type. Each grid provides per-column filter controls and pages at 50 rows.
Each extracted attribute value appears as several rows, one per Score Breakdown Type:
Llm — pass or fail of the LLM extraction. A value of 1 is pass, 0 is fail.Parsing — pass or fail of parsing. A value of 1 is pass, 0 is fail.OcrAgreement — agreement between the AI OCR reading and the OCR engine OCR text. A value of 1 is a 100% match.OcrConfidence — the AI confidence in the OCR.Final — the composite score the algorithm produces from the four scores above.Confidence Score values display at full precision. For how these scores are calculated, see AI Data Extraction Confidence Calculation. For how the score is classified into confidence levels, see Section 14.3 Extraction Confidence Levels.
Click Export at the top-right of the report page to open the Export a Report dialog.
The dialog submits the export asynchronously: the export request is queued, and the resulting file becomes available in Exported Reports (Section 7.2) when processing completes. The dialog closes immediately after submission.
Dialog fields:
Click Apply to queue the export. The file appears in Exported Reports when processing completes. If Email Recipients are set, each recipient receives an email notification at that time. If Export Targets are set, the file is also delivered to each target.
For a recurring export on a schedule, see Section 7.3 Export Report Schedules.
The Data Extraction Report exports as a multi-sheet workbook with four sheets.
The Box Summary sheet contains one row per box: Project, Collection, Box Identifier, Extraction Date, Total Images, Extracted Images, and Low Confidence Images.
The Image Summary sheet contains one row per image: Box Identifier, Filename, AI Confidence, Attributes Not Null, Attributes Null, and Low Confidence Attributes.
The Attribute Summary sheet contains one row per box and attribute: Box Identifier, Attribute, and Images Below Threshold.
The Detailed Scores sheet contains one row per score component: Box, Image, Extraction Date, Attribute, Value, Confidence Score, and Score Breakdown Type.
Note: Each report under Section 7.1 exports in its own format. See the Exported Format section of the specific report for its structure.