The real Legal Aid monthly reports have multi-line cells (sub-types like
"הודעה בהתאם להחלטה" wrap to two visual lines), RTL Hebrew column ordering
that flips depending on whether a row contains long Hebrew text, and
amounts that wrap across rows ("1478.5\n4" → 1478.54). pdfplumber's
extract_tables() returned 0 rows on a real report — the v1 parser
silently produced an empty preview.
Switching to the Claude-Vision path (mirrors api/services/ocr.py): render
each PDF page via PyMuPDF, send to ai-gateway with a JSON-output prompt,
parse the structured response. Claude reads RTL Hebrew + multi-line cells
natively and produces the same JSON shape that
LegalAidPaymentReportService.ingest() expects.
`?debug=true` added to return the raw model response for diagnostics
when a future PDF format breaks extraction.
pdfplumber stays in pyproject.toml for now in case we want a non-AI
fallback later, but the runtime path no longer touches it.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
chaim
098a86e3fd