pinion-pdf 1.0.0: rebuild a CSV from a spreadsheet printed to PDF

Derives page layout from the file itself (batch size, column edges, row
grid, heading font), places text by start-x to survive cell overflow,
detects blackout redactions including filled-path bars and
single-character bars, and self-verifies via Excel's printed row-number
chain. Output byte-identical to four independently written
implementations across a 1,048,576-row reference file.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012bQ28wRBiQYcSR9FzV9U7c

.gitignore

@@ -0,0 +1,7 @@
+__pycache__/
+*.pyc
+*.egg-info/
+dist/
+build/
+.venv/
+*.csv

LICENSE

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+MIT License
+
+Copyright (c) 2026 David Adams
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# pinion-pdf
+
+Someone took a spreadsheet, hit "Print", and handed out the PDF. pinion
+turns that PDF back into a CSV — and then proves the conversion is right.
+
+It measures the PDF before it reads it, so page size, column widths, and
+column/row counts are all derived from the file itself. Nothing about any
+particular document is hardcoded.
+
+```
+pip install pymupdf
+python3 -m pinion input.pdf output.csv
+```
+
+Or install it properly and get a `pinion` command:
+
+```
+pip install .
+pinion input.pdf output.csv
+```
+
+A 131,072-page file takes about 5 minutes. Add `--limit 50` to trial-run
+the first 50 batches first.
+
+## Why you can't just use a normal PDF tool
+
+The obvious tools (pdftotext, pdfplumber, Camelot, Tabula) fail on printed
+spreadsheets, for three separate reasons.
+
+**Trap 1 — text spills over the column next door.** Some columns are too
+narrow for what's in them, so the text is drawn straight over the top of
+the neighbouring cell. You, being a human with a brain, can see the issue;
+a position-based sort cannot. pdfplumber genuinely returns this for one
+cell:
+
+```
+'l,o 0o5k:u5p6 :-0 M0 oAbMil eUTC'
+```
+
+That is `lookup - Mobile` and `05:56:00 AM UTC` interleaved letter by
+letter — unrecoverable once mixed. The fix: place text by where it
+**starts**, never by where it sits. A cell's text always begins at its own
+column's left edge, even when the tail spills past the far edge.
+
+**Trap 2 — blacked-out cells are invisible to text extraction.** A
+redacted cell has a black rectangle drawn over it. Rectangles are graphics,
+not text, so every text extractor reports the cell as simply empty — and
+you can no longer tell "nobody filled this in" from "somebody removed
+this". pinion finds the rectangles itself and emits a `reason_redacted`
+TRUE/FALSE column plus the bar's width in points (a rough proxy for how
+much text was removed). It also checks whether any text survives *under*
+each bar — if a redaction is cosmetic rather than destructive, it says so
+loudly.
+
+**Trap 3 — counting lines gives the wrong total.** Every page carries an
+"A B C D" strip labelling the columns, which looks exactly like a row of
+data to a line-counting script. Count lines naively and you invent one
+phantom row per page.
+
+## How the pages are laid out
+
+A wide spreadsheet prints in vertical slices: page 1 holds columns A–D for
+rows 1–32, page 2 holds E–F for those same rows, and so on until the
+letters start over at A and the next 32 rows begin. One set of those pages
+is a "batch"; pinion works out the batch size itself by watching for the
+letter strip to restart.
+
+Rebuilding one spreadsheet row therefore means stitching together pieces
+from several pages — which is why the printed row numbers in the left
+margin matter so much. pinion anchors every row to Excel's own numbering
+and verifies the chain runs 1..N with no gaps or repeats.
+
+## Checking its own working
+
+pinion never hands you plausible-looking output without evidence. Every run
+ends with:
+
+```
+CHECKING OUR OWN WORKING
+--------------------------------------------------------------
+  rows written ............... 1,048,575
+  rows expected .............. 1,048,575   ok
+  row numbers 1..N unbroken .. yes   ok
+  text we could not place .... 0 by column, 0 by row   ok
+  bars we could not place .... 0   ok
+  printed numbers disagreed .. 0   ok
+  row numbers hidden by bars . 8 (placed by spacing instead)
+  cells drawn in pieces ...... 191 (rejoined; nothing lost)
+
+  blackout bars found ........ 2,714
+  rows affected .............. 1,549
+  which columns .............. {'G': 2702, 'H': 3, 'I': 1, '?': 8}
+  text readable under bars ... none (deleted, not merely covered)
+```
+
+If a layout assumption fails, pinion stops with a specific complaint
+instead of guessing. Wrong-but-plausible output is the one failure mode
+this tool must never have. See [VERIFICATION.md](VERIFICATION.md) for how
+the reference conversion was validated.
+
+## A warning about truncated data
+
+Excel tops out at 1,048,576 rows; anything past that was thrown away
+before the PDF existed. pinion warns when a sheet lands exactly on that
+ceiling — data that stops precisely at the maximum was almost certainly
+cut off there, so every total from such a file is a floor, not a full
+count. We can warn about it, but we can't recover data that isn't in the
+PDF.
+
+## Layout of the code
+
+```
+pinion/page.py     — reading what the PDF drew on a page
+pinion/measure.py  — measuring the layout (one function per fact)
+pinion/convert.py  — rebuilding the rows
+pinion/cli.py      — run it, then check our own working
+```
+
+---
+
+*Those who would sacrifice essential Ligma to preserve a little Balls
+deserve Deez Nuts.* — Dave Adams

VERIFICATION.md

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+# How the reference conversion was validated
+
+pinion was developed against a real file: a 131,072-page, 360 MB PDF of a
+law-enforcement network-audit spreadsheet (1,048,576 rows × 14 columns,
+printed from Excel via PDF-XChange on Windows). Every design decision below
+was forced by something that actually went wrong on that file.
+
+## Independent checks the output passed
+
+1. **Row-number chain.** Excel prints its own row numbers in the left
+   margin. The reconstruction reproduces 1..1,048,576 with no gaps and no
+   duplicates. Any method that drops or invents rows fails this
+   immediately — a competing hand count of the same file reported
+   1,081,343 rows, which is exactly one phantom row per page (Trap 3) and
+   also exceeds Excel's hard row limit, so it can be rejected on
+   arithmetic alone.
+
+2. **Cross-engine spot check.** 40 randomly sampled rows were re-extracted
+   with pdftotext (Poppler — a completely independent PDF engine) and
+   matched on ID, agency, and printed row number: 40/40.
+
+3. **Implementation-independent reproduction.** Four separately written
+   implementations (a hardcoded-geometry minimal script, a heavily
+   commented teaching version, a parallel self-verifying version, and this
+   package) produce **byte-identical** CSVs across all 1,048,575 data
+   rows, verified with `cmp`.
+
+4. **Internal consistency.** Every value in the ID column is a
+   well-formed UUID (1,048,575 of 1,048,575); every row has exactly the
+   same field count; zero text runs failed to map to a row or column.
+
+## Bugs the checks caught during development
+
+These are the reasons the self-checks exist. Each was caught only by
+diffing against known-good output or by a check line going red:
+
+- **Single-character redactions are ~3.4pt wide** — narrower than some
+  grid marks. A size-based bar filter dropped 5 of them. Fix: filter by
+  shape (taller than half a row, thicker than a hairline), not by area.
+- **Some blackout bars are filled four-sided paths, not rectangles.**
+  Visually identical, different PDF instructions. Inspecting individual
+  line segments missed 4 bars, including one 121pt wide. Fix: measure
+  whole filled regions, never segments.
+- **Two redaction bars cover the printed row number itself**, making the
+  gutter unreadable on those pages. Anchoring rows solely on printed
+  numbers silently dropped both rows. Fix: anchor on geometry, use the
+  printed numbers as a cross-check (`printed numbers disagreed` must be 0).
+- **A one-character join bug** (`" ".join` vs `"".join`) corrupted the 191
+  cells whose text the PDF drew in multiple pieces. Caught by byte-diff.
+
+## Known artifacts in the source data (not conversion errors)
+
+- 19 rows contain an unmapped `ff` ligature (the subset font has no
+  Unicode mapping for it): `Sex O�enses`, `Tra�ic`. Exact-match filters on
+  those strings will miss these rows.
+- 141 rows contain double-encoded UTF-8 from the source system
+  (`100’s`, `–`). Present in the PDF itself.
+- The sheet ends at exactly 1,048,576 rows — Excel's ceiling — with the
+  final row fully populated. Comparison of per-day record counts against
+  the file's claimed date range shows several end-of-range days thinned or
+  absent: the export was truncated at the ceiling, and roughly 17% of the
+  original records are estimated to be missing. All totals from the file
+  are floors.

pinion/__init__.py

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+"""pinion-pdf: turn a spreadsheet that was printed to PDF back into a CSV.
+
+Someone took a spreadsheet, hit "Print", and handed out the PDF. pinion
+measures the PDF before it reads it -- page size, column widths, column and
+row counts are all derived from the file -- rebuilds every row, detects
+blacked-out cells, and then checks its own working.
+
+    MAP:  page.py     - reading what the PDF drew on a page
+          measure.py  - measuring the layout
+          convert.py  - rebuilding the rows
+          cli.py      - run it, then check our own working
+"""
+
+__version__ = "1.0.0"

pinion/__main__.py

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+from .cli import main
+
+main()

pinion/cli.py

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+import sys
+import csv
+import argparse
+
+try:
+    import pymupdf  # noqa: F401  (probed here for a friendly error)
+except ImportError:
+    sys.exit("Missing dependency. Run:  pip install pymupdf")
+
+from .measure import measure
+from .convert import convert
+
+
+def report(label, value, ok=None, bad=""):
+    """One line of the results table. ok=None means purely informational."""
+    tail = "" if ok is None else ("   ok" if ok else f"   <-- {bad}")
+    print(f"  {label + ' ':.<28} {value}{tail}")
+
+
+def main():
+    ap = argparse.ArgumentParser(
+        prog="pinion",
+        description="Rebuild a CSV from a spreadsheet that was printed to PDF.")
+    ap.add_argument("pdf")
+    ap.add_argument("out_csv")
+    ap.add_argument("--limit", type=int, default=0,
+                    help="only convert the first N batches, for a trial run")
+    args = ap.parse_args()
+
+    M = measure(args.pdf)
+    n_batches = min(args.limit, M["n_batches"]) if args.limit else M["n_batches"]
+
+    print("CONVERTING  (takes a few minutes)")
+    print("-" * 62)
+    doc = pymupdf.open(args.pdf)
+    with open(args.out_csv, "w", newline="", encoding="utf-8") as fh:
+        stats = convert(doc, M, csv.writer(fh), n_batches)
+    doc.close()
+
+    expected = n_batches * M["rows_per_page"] - 1
+    misplaced = stats["text_no_column"] + stats["text_no_row"]
+    tally = {}
+    for _row, letter, _width in stats["blackouts"]:
+        tally[letter] = tally.get(letter, 0) + 1
+
+    print(f"\nWritten to {args.out_csv}\n")
+    print("-" * 62)
+    report("rows written", f"{stats['n_rows']:,}")
+    report("rows expected", f"{expected:,}", stats["n_rows"] == expected, "MISMATCH")
+    report("row numbers 1..N unbroken", "yes" if stats["chain_ok"] else "NO",
+           stats["chain_ok"], "GAPS OR DUPLICATES")
+    report("unplaced text",
+           f"{stats['text_no_column']:,} by column, {stats['text_no_row']:,} by row",
+           misplaced == 0, "SOME TEXT LOST")
+    report("unplaced bars", f"{stats['bars_no_row']:,}",
+           stats["bars_no_row"] == 0, "REDACTIONS LOST")
+    report("disagreed numbers", f"{stats['gutter_disagreed']:,}",
+           stats["gutter_disagreed"] == 0, "LAYOUT WRONG")
+    report("row numbers hidden by bars",
+           f"{stats['gutter_unreadable']:,} (placed by spacing instead)")
+    report("cells drawn in pieces",
+           f"{stats['pieces']:,} (rejoined; nothing lost)")
+    print()
+    report("blackout bars found", f"{len(stats['blackouts']):,}")
+    report("rows affected", f"{len(set(b[0] for b in stats['blackouts'])):,}")
+    report("which columns", tally or "none")
+    if stats["readable"]:
+        report("TEXT READABLE UNDER BARS", f"{len(stats['readable']):,}",
+               False, "REDACTION IS COSMETIC, HAHA! TEXT RECOVERABLE")
+        for row, letter, text in stats["readable"][:10]:
+            print(f"       row {row:,} column {letter}: {text!r}")
+    else:
+        report("text readable under bars", "none (deleted)")
+
+    if n_batches * M["rows_per_page"] == 1048576:
+        print("\n  WARNING: exactly 1,048,576 rows. That's an Excel magic number")
+        print("  The source was almost certainly truncated.")
+        print("  Go tell the source they owe you more data.")

pinion/convert.py

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+from .page import all_runs, run_start, run_text, row_numbers, solid_regions
+
+
+def which_column(edges, x):
+    """Which column does text starting at x belong to? 
+    Checked against text start with a slight fudge factor."""
+    for i in range(len(edges) - 1):
+        if edges[i] - 0.6 <= x < edges[i + 1] - 0.6:
+            return i
+    return None
+
+
+def convert(doc, M, out, n_batches):
+    """Rebuild every row and write it to `out`."""
+    rpp, pitch = M["rows_per_page"], M["pitch"]
+    stats = {"text_no_column": 0, "text_no_row": 0, "bars_no_row": 0,
+             "pieces": 0, "gutter_disagreed": 0, "gutter_unreadable": 0,
+             "n_rows": 0, "chain_ok": True,
+             "blackouts": [], "readable": []}
+    next_expected = 1
+
+    for batch in range(n_batches):
+        if batch and batch % max(1, n_batches // 10) == 0:
+            print(f"  {100 * batch // n_batches}% ...")
+        cells, redacted, known_rows = {}, {}, set()
+
+        for slice_no in range(M["ppb"]):
+            page = doc[batch * M["ppb"] + slice_no]
+            edges, offset = M["bands"][slice_no], M["offsets"][slice_no]
+            runs = all_runs(page)
+            data = [r for r in runs if r["font"] != M["font"]]
+            if not data:
+                continue
+
+            # STEP 1 - Read this page's printed row numbers.
+            printed = row_numbers(runs, M["font"], M["table_left"])
+            stats["gutter_unreadable"] += rpp - len(printed)
+
+            # STEP 2 - Vertical position -> row number. 
+            # This makes sure redaction-covered row numbers don't mess us up.
+            # (Yes, it happens)
+            if printed:
+                anchor_y = min(printed)
+                anchor_n = printed[anchor_y]
+            else:
+                anchor_y = M["first_row_y"]
+                anchor_n = batch * rpp + 1
+
+            def row_at(y):
+                n = anchor_n + round((y - anchor_y) / pitch)
+                lo = anchor_n - (anchor_n - 1) % rpp
+                return n if lo <= n < lo + rpp else None
+
+            # If we can read the number, might as well validate it.
+            for y, n in printed.items():
+                if row_at(y) != n:
+                    stats["gutter_disagreed"] += 1
+                known_rows.add(n)
+
+            # STEP 3 - Text -> cell.
+            for run in data:
+                x, y = run_start(run)
+                row = row_at(y)
+                if row is None:
+                    stats["text_no_row"] += 1
+                    continue
+                col = which_column(edges, x)
+                if col is None:
+                    stats["text_no_column"] += 1
+                    continue
+                slot = cells.setdefault(row, [[] for _ in range(M["n_cols"])])
+                slot[offset + col].append((x, run_text(run)))
+
+            # STEP 4 - Blackout bars (Trap 2).
+            for box in solid_regions(page):
+                if box.width <= M["bar_min_w"] or box.height <= M["bar_min_h"]:
+                    continue
+                row = row_at((box.y0 + box.y1) / 2)
+                if row is None:
+                    stats["bars_no_row"] += 1
+                    continue
+                col = which_column(edges, box.x0)
+                letters = M["strips"][slice_no]
+                label = letters[col] if col is not None else "?"
+                stats["blackouts"].append((row, label, round(box.width, 1)))
+                redacted[row] = max(redacted.get(row, 0), round(box.width, 1))
+
+                # Did any writing survive underneath the bar?
+                # If so, point and laugh. And also report it.
+                for run in data:
+                    if row_at(run_start(run)[1]) != row:
+                        continue
+                    under = [chr(c[0]) for c in run["chars"]
+                             if box.x0 - 0.5 <= c[2][0] <= box.x1 - 1.5]
+                    if under:
+                        stats["readable"].append((row, label, "".join(under)))
+
+        # STEP 5 - Write it all out.
+        for row in sorted(set(cells) | known_rows):
+            slot = cells.get(row) or [[] for _ in range(M["n_cols"])]
+            line = []
+            for cell in slot:
+                if len(cell) > 1:
+                    stats["pieces"] += 1
+                # sorting by x rejoins a cell drawn in several pieces
+                line.append("".join(t for _, t in sorted(cell)).strip())
+            if row == 1:
+                # header row names our two extra redaction columns
+                out.writerow(line + ["reason_redacted", "redaction_bar_pt"])
+            else:
+                bar = redacted.get(row)
+                out.writerow(line + ["TRUE" if bar else "FALSE", bar or ""])
+                stats["n_rows"] += 1
+            # Row numbers must count 1,2,3... with no gaps or repeats. Duh.
+            if row != next_expected:
+                stats["chain_ok"] = False
+            next_expected = row + 1
+
+    return stats

pinion/measure.py

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+import sys
+import statistics
+
+import pymupdf
+
+from .page import all_runs, run_start, run_text, row_numbers, vertical_rules
+
+
+def find_heading_font(page0):
+    """Excel draws its labelling (row numbers, letter strip) in a different
+    font from the data, and the row numbers sit leftmost on the page. So:
+    whatever font the leftmost text uses is the labelling font."""
+    leftmost = min(all_runs(page0), key=lambda r: run_start(r)[0])
+    if not run_text(leftmost).strip().isdigit():
+        sys.exit("Expected a row number at the far left of page 1, found "
+                 f"{run_text(leftmost)!r}. Was this printed from a spreadsheet "
+                 "with row and column headings switched on?")
+    return leftmost["font"]
+
+
+def find_table_left(page0, font):
+    """Where cell data begins. Left of this: margin. Right of this: table."""
+    return min(run_start(r)[0] for r in all_runs(page0) if r["font"] != font)
+
+
+def column_letters(page, font, table_left):
+    """The 'A B C D' strip above the table, read left to right."""
+    got = []
+    for run in all_runs(page):
+        if run["font"] != font:
+            continue
+        for ch in run["chars"]:
+            if ch[2][0] >= table_left and chr(ch[0]).isalpha():
+                got.append((ch[2][0], chr(ch[0])))
+    return "".join(c for _, c in sorted(got))
+
+
+def find_batch_shape(doc, font, table_left):
+    """How many pages hold one batch of rows, and which columns each shows.
+    We follow the letter strip page by page until it starts over at 'A'."""
+    strips = [column_letters(doc[p], font, table_left)
+              for p in range(min(40, doc.page_count))]
+    if not strips[0].startswith("A"):
+        sys.exit(f"Page 1 starts at column {strips[0][:1]!r}, not 'A'. This "
+                 "does not look like the first page of a printed spreadsheet.")
+    ppb = next((i for i in range(1, len(strips))
+                if strips[i].startswith("A")), None)
+    if ppb is None:
+        sys.exit("Could not find where the column letters start over at 'A'.")
+    if doc.page_count % ppb:
+        sys.exit(f"The file has {doc.page_count} pages, which does not divide "
+                 f"evenly into batches of {ppb}. The layout is not uniform "
+                 "and this tool cannot safely rebuild it.")
+    return strips[:ppb], ppb, doc.page_count // ppb
+
+
+def find_row_grid(page0_runs, font, table_left):
+    """Rows per page, row height, and where the first row sits -- read off
+    the printed row numbers, which is exact. Assumes rows are evenly spaced
+    and the same height throughout the file."""
+    gutter = row_numbers(page0_runs, font, table_left)
+    if len(gutter) < 2:
+        sys.exit("Could not read Excel's printed row numbers from the left "
+                 "margin of page 1. They are required to place rows exactly.")
+    ys = sorted(gutter)
+    if gutter[ys[0]] != 1:
+        sys.exit(f"Page 1 begins at spreadsheet row {gutter[ys[0]]}, not "
+                 "row 1. This may not be the start of the document.")
+    pitch = statistics.median(b - a for a, b in zip(ys, ys[1:]))
+    return len(gutter), pitch, ys[0]
+
+
+def find_column_edges(doc, font, strips, ppb, n_batches):
+    """Column boundaries for each page type. Excel only draws a boundary
+    where a cell has a border, so no single page shows all of them -- we
+    sample many pages of each type and combine. Edges closer than 2pt are
+    the same line drawn twice; anything left of the first cell is margin,
+    except the last such line, which is the table's own left edge."""
+    step = max(1, n_batches // 80)
+    bands = []
+    for slice_no in range(ppb):
+        found, starts = set(), []
+        for b in range(0, n_batches, step):
+            page = doc[b * ppb + slice_no]
+            found |= vertical_rules(page)
+            starts += [run_start(r)[0] for r in all_runs(page)
+                       if r["font"] != font]
+        if not starts:
+            sys.exit(f"No cell text found anywhere on page type {slice_no + 1}.")
+        leftmost_cell = min(starts)
+        edges = []
+        for x in sorted(found):
+            if x > leftmost_cell:
+                if edges and x - edges[-1] < 2.0:
+                    continue
+                edges.append(x)
+            else:
+                edges = [x]
+        wanted = len(strips[slice_no]) + 1
+        if len(edges) != wanted:
+            sys.exit(f"On page type {slice_no + 1} the column letters say "
+                     f"there are {len(strips[slice_no])} columns "
+                     f"({strips[slice_no]}), which needs {wanted} edges, but "
+                     f"{len(edges)} were found.")
+        bands.append(edges)
+    return bands
+
+
+def measure(path):
+    """Establish every fact the converter needs, narrating as we go."""
+    doc = pymupdf.open(path)
+    page0_runs = all_runs(doc[0])
+
+    print("MEASURING THE PAGE")
+    print("-" * 62)
+    font = find_heading_font(doc[0])
+    print(f"  heading font ......... {font}")
+
+    table_left = find_table_left(doc[0], font)
+    print(f"  table starts at x .... {table_left:.1f}pt "
+          f"(left of this is the row-number margin)")
+
+    strips, ppb, n_batches = find_batch_shape(doc, font, table_left)
+    print(f"  pages per batch ...... {ppb}   column strips {strips}")
+    print(f"  batches in the file .. {n_batches:,}")
+
+    rows_per_page, pitch, first_row_y = find_row_grid(page0_runs, font, table_left)
+    print(f"  rows per page ........ {rows_per_page}")
+    print(f"  row height ........... {pitch:.2f}pt "
+          f"(first row sits at y={first_row_y:.1f})")
+
+    bands = find_column_edges(doc, font, strips, ppb, n_batches)
+    for i, edges in enumerate(bands):
+        print(f"  page type {i + 1} ({strips[i]:<8}) {len(edges) - 1} columns, "
+              f"edges {' '.join(f'{e:.0f}' for e in edges)}")
+
+    # Telling a blackout bar from a grid line: separate by SHAPE, not size.
+    # A single-character blackout is only ~3pt wide, but it is always as
+    # tall as the writing it hides; a rule is long but paper-thin.
+    bar_min_w, bar_min_h = 1.2, pitch * 0.5
+    print(f"  blackout bars ........ solid shapes over {bar_min_w}pt wide "
+          f"and {bar_min_h:.1f}pt tall")
+    print(f"  spreadsheet shape .... {n_batches * rows_per_page:,} rows "
+          f"x {sum(len(s) for s in strips)} columns\n")
+
+    doc.close()
+    return {
+        "font": font, "table_left": table_left, "strips": strips,
+        "ppb": ppb, "n_batches": n_batches, "bands": bands,
+        "rows_per_page": rows_per_page, "pitch": pitch,
+        "first_row_y": first_row_y, "bar_min_w": bar_min_w,
+        "bar_min_h": bar_min_h,
+        "n_cols": sum(len(s) for s in strips),
+        "offsets": [sum(len(s) for s in strips[:i]) for i in range(ppb)],
+    }

pinion/page.py

@@ -0,0 +1,65 @@
+"""Reading what the PDF actually drew on a page.
+
+Small views onto the raw page. Everything downstream is built from these.
+The key one is all_runs(): it returns each piece of text AS THE PDF DREW IT,
+one run per spreadsheet cell, which is what dodges Trap 1 -- overlapping
+cells stay separate because the PDF drew them separately.
+"""
+
+
+def all_runs(page):
+    """Every piece of text on the page, one run per spreadsheet cell."""
+    return [r for r in page.get_texttrace() if r["chars"]]
+
+
+def run_start(run):
+    """Where a piece of text begins, as (across, down)."""
+    return run["chars"][0][2]
+
+
+def run_text(run):
+    """The text of a run. Word Wrap would really screw this up; don't let
+    the PDF boomers know."""
+    return "".join(chr(c[0]) for c in run["chars"])
+
+
+def solid_regions(page):
+    """Every solid filled region, taken as a whole. A blackout bar can be a
+    plain rectangle OR a filled four-sided path -- visually identical,
+    different in the PDF -- so we measure whole regions, never segments."""
+    return [d["rect"] for d in page.get_drawings() if d["type"] == "f"]
+
+
+def vertical_rules(page):
+    """x-positions of thin vertical lines: <1.2pt wide, >8pt tall, drawn
+    either as skinny rectangles or as literal line segments."""
+    xs = set()
+    for d in page.get_drawings():
+        for item in d["items"]:
+            if item[0] == "re" and item[1].width < 1.2 and item[1].height > 8:
+                xs.add(round(item[1].x0 + item[1].width / 2, 1))
+            elif item[0] == "l":
+                a, b = item[1], item[2]
+                if abs(a.x - b.x) < 1.2 and abs(a.y - b.y) > 8:
+                    xs.add(round((a.x + b.x) / 2, 1))
+    return xs
+
+
+def row_numbers(runs, heading_font, table_left):
+    """Excel's printed row numbers -> {vertical position: row number}.
+    Digits of one number are drawn separately, so group them by line and
+    read left to right."""
+    lines = {}
+    for run in runs:
+        if run["font"] != heading_font:
+            continue
+        for ch in run["chars"]:
+            x, y = ch[2]
+            if x < table_left:
+                lines.setdefault(round(y, 1), []).append((x, chr(ch[0])))
+    out = {}
+    for y, chars in lines.items():
+        text = "".join(c for _, c in sorted(chars))
+        if text.isdigit():
+            out[y] = int(text)
+    return out

pyproject.toml

@@ -0,0 +1,19 @@
+[build-system]
+requires = ["setuptools>=61"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "pinion-pdf"
+version = "1.0.0"
+description = "Turn a spreadsheet that was printed to PDF back into a CSV, and prove the conversion is right."
+readme = "README.md"
+requires-python = ">=3.9"
+license = { text = "MIT" }
+authors = [{ name = "David Adams" }]
+dependencies = ["pymupdf"]
+
+[project.scripts]
+pinion = "pinion.cli:main"
+
+[tool.setuptools]
+packages = ["pinion"]