Fill a Ruling-Line Grid With OCR Text (Addressable Tables)
edge_lines.find_grid recovers a bordered table’s geometry — {rows: [y…], cols: [x…],
cells: […]} — but the cells come back empty (just rectangles between the ruling lines).
OCR gives the text but no table structure. Nothing joined the two, so reading a bordered
table meant hand-rolling the box→cell assignment. table_grid_fill drops OCR text boxes
into the grid and returns an addressable R x C table.
Each box is assigned to the cell its centre falls in (gated by an overlap fraction so a box straddling a thin rule is not double counted); text within a cell is concatenated in reading order; boxes that straddle multiple cells are reported as merged-cell candidates. The result converts straight to records or CSV.
Pure-stdlib geometry over plain dicts (the grid + the boxes) — no image, no OCR engine, no
device. Imports no PySide6.
Headless API
from je_auto_control import (find_grid, find_text_lines, # producers
populate_table, assign_text_to_grid,
table_to_records, table_to_csv)
grid = find_grid(region=[0, 0, 800, 400]) # ruling-line geometry
boxes = [{"x": 10, "y": 5, "width": 60, "height": 20, "text": "Name"}, ...]
table = assign_text_to_grid(grid, boxes) # [["Name","Age"], ["Ann","30"]]
records = table_to_records(table) # [{"Name": "Ann", "Age": "30"}]
csv_text = table_to_csv(table)
full = populate_table(grid, boxes) # {n_rows, n_cols, cells, spans}
assign_text_to_grid returns the 2-D text table; populate_table returns the richer
{n_rows, n_cols, cells:[{row, col, text}], spans:[{row, col, row_span, col_span, text}]}.
table_to_records uses the first row as headers; table_to_csv renders CSV. Boxes accept
either {x, y, width, height} or {left, top, right, bottom} plus a text field.
Executor command
AC_populate_table (grid / text_boxes / overlap → {n_rows, n_cols, cells,
spans}) is exposed as the MCP tool ac_populate_table (read-only) and as the Script
Builder command Fill Table From Grid + OCR under OCR.