Get consistent fields out of a table trapped in pixels
Convert a visible table into rows of text that your tools can import. The useful result is a consistent set of fields, so inspect column boundaries and missing values before treating the export as structured data.
Reference-table ingestion
Prepare a reviewed CSV from an image-only reference, then validate field types and allowed values before a script consumes it.
Borderless table cleanup
Check whitespace-separated columns in the editable grid and restore blank fields that would otherwise shift a row’s meaning.
Check table boundaries and blanks before exporting records
- Isolate a single table while retaining the headings needed to identify fields.
- Inspect rows with blank cells, wrapped labels or spanning headers.
- Export CSV and validate record width and data types in the destination.
Merged headings, multiple tables and blank-versus-zero values
- Can table image to CSV preserve merged cells?
- CSV has no merged-cell feature. Choose a flat set of columns and review how spanning headings should be represented in your records.
- What if two tables appear in the same image?
- Crop and process each table separately when their columns differ. This avoids confusing unrelated headings or mixing incompatible records.
- How do I distinguish a blank field from a zero?
- Compare the image and review grid carefully. Missing content and the number zero can have different meanings and should not be substituted automatically.
- Should I choose CSV or searchable PDF for a table image?
- Choose CSV for field-based import and analysis. Choose searchable PDF to retain the visual table and search recognized words within the document.
