Table Block Conversion
In Vantage, the table field can only contain text fields and doesn’t support nesting. Hence, the table block from FlexiCapture will be converted as follows:| Has Nested Tables | Has Non-Text Fields | Resulting Field in Advanced Designer |
|---|---|---|
| No | No | Table |
| No | Yes | Group with multiple items |
| Yes | No | Group with multiple items which has nested groups with multiple items and a table on the deepest nesting level |
| Yes | Yes | Group with multiple items which has nested groups |
Preparing an Import Folder
To prepare an import folder, you should export labeled documents from FlexiCapture by runningFCAdminTools.exe with the following options:
| Option | Description |
|---|---|
/LabelingSource=<LayoutTraining/ClassifierTraining/WorkBatches> | Group of batches selected for export. Default value: LayoutTraining. Note: Advanced Designer doesn’t currently support import of ClassifierTraining batches. |
/BatchName=<name of a batch in the specified group of batches> | Name of a batch selected for export. This batch should belong to the group specified by the LabelingSource option. If empty, the export folder will contain all batches in the group that refer to the specified document definition. If LabelingSource = ClassifierTraining, this option may be empty. |
/DocumentDefinition=<name of the document definition> | Name of the document definition for which the batches will be exported. You should specify a document definition if the project contains several document definitions. If LabelingSource = ClassifierTraining, this option may be empty. Note: You can only export a document definition that has a single section. Exporting multisection document definitions is not supported. |
/Project=<path to the project> | Path to the FCPROJ file. |
/TargetFolder=<path to the target folder> | Path to the folder in which the export results will be stored. The folder is created automatically during export. |
DocumentDefinition.jsonSkillSettings.json(when exportingLayoutTrainingandWorkBatchesgroups of batches)- Folder
<Document name>which contains document information in TIFF format andLabeling.json(labeling in the extracted data format)
