extract_tables: try vector-grid detectors before text heuristic (#85)

* extract_tables: try vector-grid detectors before text heuristic

extract_tables_in_regions_mem previously ran only the text-only
heuristic detector (tables::detect_tables) on the items inside each
region, discarding the rects and lines that extract_page_text_items
returned. That left the rect-backed and line-backed detectors
(detect_tables_from_rects, detect_tables_from_lines) unused by the
public region-scoped extraction path — they only ran through
detect_vector_grid_in_region_mem, which most callers don't use.

Keep the rects and lines, filter them to each region, and try in
order: rect detector → line detector → heuristic. Each candidate's
markdown is quality-gated by the existing needs_ocr checks
(is_garbage_text, is_cid_garbage, detect_encoding_issues,
looks_like_partial_table_ex); only the first clean output wins.
If all three produce empty or noisy output we still return
needs_ocr=true, matching prior behavior.

Effect on real prod-shape inputs from shadow logs:

  Full-page ruled ledger, 6 cols x ~15 rows:
    before: heuristic emits a 355-char two-row fragment
    after:  line detector emits the full 6520-char table

  Multi-row key/value layout with paragraph values:
    before: heuristic emits a 188-char header-only fragment
    after:  rect detector emits the full 1733-char table including
            the multi-bullet description cell

Existing fixtures that already passed via the heuristic continue to
pass: the quality gate rejects partial vector-grid output and falls
through, so the heuristic still wins where it produced the cleaner
result.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Bump version from 1.8.9 to 1.8.10

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

napi/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@firecrawl/pdf-inspector",
-  "version": "1.8.9",
+  "version": "1.8.10",
   "description": "Fast PDF classification and text extraction. Detect text-based vs scanned PDFs, extract text by region with quality checks. Native Rust performance via napi-rs.",
   "main": "index.js",
   "types": "index.d.ts",