deploy: backend bundle from 25123cd352c0b00039208dfa89272649fdd3d269

Code/Backend/api_server.py

@@ -964,6 +964,7 @@ async def card_info_endpoint(request: CardInfoRequest) -> CardInfoResponse:
     raw_text = ocr_result.get("raw_text")
 
     if not ocr_name:
+        print(f"[card-info] ocr_failed — raw_text: {repr(raw_text)}")
         return CardInfoResponse(
             found=False,
             lookup_confidence=0.0,
@@ -983,6 +984,7 @@ async def card_info_endpoint(request: CardInfoRequest) -> CardInfoResponse:
         )
 
     if card is None:
+        print(f"[card-info] not_found — name={repr(ocr_name)} number={repr(ocr_number)} hp={repr(ocr_hp)}")
         return CardInfoResponse(
             found=False,
             lookup_confidence=0.3,

Code/Backend/src/ocr/card_ocr.py

@@ -62,6 +62,17 @@ class CardOCR:
         raw_text = f"{name_text} | {number_text} | {hp_text}"
 
         name = self._parse_name(name_text)
+
+        # Fallback: if the standard name crop returned nothing, try a taller
+        # region (top 25%, full width) — handles cards where the name banner
+        # sits lower or the card crop is slightly mis-aligned.
+        if name is None:
+            h_c, w_c = card_img.shape[:2]
+            wide_crop = card_img[0 : int(h_c * 0.25), :]
+            wide_text = self._run_ocr(self._preprocess_name(wide_crop), psm=11)
+            name = self._parse_name(wide_text)
+            if name:
+                raw_text = f"{name_text}[wide:{wide_text}] | {number_text} | {hp_text}"
         collector_number, set_total = self._parse_collector_number(number_text)
         hp = self._parse_hp(hp_text)
 
@@ -148,8 +159,13 @@ class CardOCR:
             if _card_shaped(w, h):
                 return self._correct_orientation(_apply_crop(x, y, w, h))
 
-        # ── Fallback ─────────────────────────────────────────────────────
-        return self._correct_orientation(img)
+        # ── Fallback: centre crop ─────────────────────────────────────────
+        # Neither strategy found a card-shaped region.  Most phone photos
+        # place the card near the centre; strip the outer margins to remove
+        # the status bar, navigation UI, and table background.
+        cy, cx = int(img_h * 0.12), int(img_w * 0.05)
+        centre = img[cy: img_h - cy, cx: img_w - cx]
+        return self._correct_orientation(centre)
 
     def _correct_orientation(self, card: np.ndarray) -> np.ndarray:
         """