diff --git a/scrapers/document_to_markdown.py b/scrapers/document_to_markdown.py
index a974c0c..28d8a56 100644
--- a/scrapers/document_to_markdown.py
+++ b/scrapers/document_to_markdown.py
@@ -31,6 +31,8 @@ from loguru import logger
 import sys
 
 IMAGE_GROUPS = {}
+CAPTURE_INPUT_DIR = None
+DOCUMENT_SUMMARYS = {}
 
 def text_of(node) -> str:
     """Return the text content of a node, stripping extra whitespace."""
@@ -191,40 +193,40 @@ def slugify(s: str, max_len: int = 80) -> str:
     return s
 
 
-def find_article_name_in_json(obj) -> str | None:
-    """Look for an article name in known keys or nested values.
-
-    Common keys include: aname, articleName, name, title, documentTitle
-    """
-    if not isinstance(obj, dict):
-        return None
-
-    candidates = [
-        "aname",
-        "articleName",
-        "article_name",
-        "name",
-        "title",
-        "documentTitle",
-        "document_title",
-    ]
-    for key in candidates:
-        if key in obj:
-            v = obj.get(key)
-            if isinstance(v, str) and v.strip():
-                return v.strip()
-
-    # try shallow nested search for non-empty strings
-    for v in obj.values():
-        if isinstance(v, str) and v.strip():
-            # skip values that look like html (we prefer explicit name keys)
-            if "<" in v or ">" in v:
-                continue
-            # short string looks promising
-            if len(v.strip()) <= 200:
-                return v.strip()
-
-    return None
+#def find_article_name_in_json(obj) -> str | None:
+#    """Look for an article name in known keys or nested values.
+#
+#    Common keys include: aname, articleName, name, title, documentTitle
+#    """
+#    if not isinstance(obj, dict):
+#        return None
+#
+#    candidates = [
+#        "aname",
+#        "articleName",
+#        "article_name",
+#        "name",
+#        "title",
+#        "documentTitle",
+#        "document_title",
+#    ]
+#    for key in candidates:
+#        if key in obj:
+#            v = obj.get(key)
+#            if isinstance(v, str) and v.strip():
+#                return v.strip()
+#
+#    # try shallow nested search for non-empty strings
+#    for v in obj.values():
+#        if isinstance(v, str) and v.strip():
+#            # skip values that look like html (we prefer explicit name keys)
+#            if "<" in v or ">" in v:
+#                continue
+#            # short string looks promising
+#            if len(v.strip()) <= 200:
+#                return v.strip()
+#
+#    return None
 
 
 def extract_title_from_html(html: str) -> str | None:
@@ -297,68 +299,6 @@ def recursive_search_for_value(obj, value: str) -> bool:
     return False
 
 
-def find_title_for_docid(docid: str, search_dir: str) -> str | None:
-    """Look for files in search_dir that contain the docid and try to extract a title.
-
-    This checks nearby summary/media JSONs which often contain a `title` field.
-    """
-    if not docid:
-        return None
-
-    # Phase 1: scan all JSON files for breadcrumb/list-style captures and prefer
-    # their enhancedDocumentName/name when present. Breadcrumb captures often
-    # don't include the docid in their filename, so scan every JSON once.
-    all_paths = sorted(glob.glob(os.path.join(search_dir, "*.json")))
-    for path in all_paths:
-        try:
-            with open(path, "r", encoding="utf-8") as f:
-                data = json.load(f)
-        except Exception:
-            continue
-        if isinstance(data, list):
-            for item in data:
-                try:
-                    if isinstance(item, dict) and item.get("documentId") == docid:
-                            ed = item.get("enhancedDocumentName") or item.get("name")
-                            if isinstance(ed, str) and ed.strip():
-                                return html.unescape(ed.strip())
-                except Exception:
-                    continue
-
-    # Phase 2: look only at files whose filename contains the docid for other
-    # title signals (top-level names, recursive title keys, searchResults).
-    pattern = os.path.join(search_dir, f"*{docid}*.json")
-    paths = sorted(glob.glob(pattern))
-    for path in paths:
-        try:
-            with open(path, "r", encoding="utf-8") as f:
-                data = json.load(f)
-        except Exception:
-            continue
-
-        # top-level keys commonly used
-        if isinstance(data, dict):
-            for key in ("enhancedDocumentName", "documentName", "name"):
-                if key in data:
-                    v = data.get(key)
-                    if isinstance(v, str) and v.strip():
-                        return html.unescape(v.strip())
-
-        # fallback: direct title anywhere in the JSON
-        title = recursive_search_for_key(data, "title")
-        if title and isinstance(title, str) and title.strip():
-            return html.unescape(title.strip())
-
-        # sometimes summary objects contain results with titles
-        sr = data.get("searchResults") if isinstance(data, dict) else None
-        if isinstance(sr, dict):
-            results = sr.get("results")
-            if isinstance(results, list):
-                for r in results:
-                    if isinstance(r, dict) and r.get("id") == docid and r.get("title"):
-                        return html.unescape(r.get("title"))
-
-    return None
 
 
 def find_breadcrumbs_for_docid(docid: str, search_dir: str) -> list:
@@ -531,6 +471,8 @@ def process_file(path: str, out_dir: str, overwrite: bool = False) -> tuple[bool
     base = os.path.basename(path)
     name, _ = os.path.splitext(base)
 
+    logger.debug(f"Processing file: {path}")
+
     # attempt to extract article name for nicer filenames
     try:
         with open(path, "r", encoding="utf-8") as f:
@@ -541,33 +483,22 @@ def process_file(path: str, out_dir: str, overwrite: bool = False) -> tuple[bool
     # deterministic doc id (if present in filename)
     docid = None
 
-    article_name = None
-    if isinstance(data_peek, dict):
-        article_name = find_article_name_in_json(data_peek)
+    docid = base.split("_document_content_")[1].split("_")[0]
 
-    # if no explicit article name, try to infer from docid present in filename
-    if not article_name:
-        # try to parse a uuid-like docid from filename
-        m = re.search(r"([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12})", base)
-        if m:
-                docid = m.group(1)
-                # Prefer nearby breadcrumb/document captures (which include
-                # enhancedDocumentName/name) over titles that appear in
-                # capture_index.jsonl. This makes section-level names
-                # like "Brain Tumor in Newborn/Infant" the canonical title.
-                title_from_nearby = find_title_for_docid(docid, os.path.dirname(path) or ".")
-                if not title_from_nearby:
-                    title_from_nearby = find_title_in_capture_index(docid, os.path.dirname(path) or ".")
-                if title_from_nearby:
-                    article_name = title_from_nearby
+    logger.debug(f"Extracted docid: {docid}")
+    #logger.debug(f"DOCUMENT_SUMMARYS keys: {DOCUMENT_SUMMARYS.get(docid)}")
+
+    article_name = DOCUMENT_SUMMARYS.get(docid).get("title")
 
     # if still not found, try to extract from inline HTML
-    if not article_name and isinstance(data_peek, dict):
-        html_candidate = find_html_in_json(data_peek)
-        if html_candidate:
-            title_from_html = extract_title_from_html(html_candidate)
-            if title_from_html:
-                article_name = title_from_html
+    #if not article_name and isinstance(data_peek, dict):
+    #    html_candidate = find_html_in_json(data_peek)
+    #    if html_candidate:
+    #        title_from_html = extract_title_from_html(html_candidate)
+    #        if title_from_html:
+    #            article_name = title_from_html
+
+    logger.debug(f"Determined article name: {article_name}")
 
     if article_name:
         slug = slugify(article_name)
@@ -584,6 +515,7 @@ def process_file(path: str, out_dir: str, overwrite: bool = False) -> tuple[bool
             target_dir = os.path.join(out_dir, "external")
     else:
         # per request: only save files that have titles
+        logger.error(f"No article name found for {path}; skipping.")
         return False, "no-title"
 
     out_path = os.path.join(target_dir, out_base + ".md")
@@ -647,9 +579,9 @@ def process_file(path: str, out_dir: str, overwrite: bool = False) -> tuple[bool
 
     image_data_to_add = {}
 
-    if "imageGroups" in data_peek:
+    if isinstance(data_peek, dict) and "imageGroups" in data_peek:
         for img_group in data_peek.get("imageGroups", []):
-            logger.debug(f"Image group: {pformat(img_group)}")
+            #logger.debug(f"Image group: {pformat(img_group)}")
             group_id = img_group.get("imageGroupId")
 
             try:
@@ -659,7 +591,133 @@ def process_file(path: str, out_dir: str, overwrite: bool = False) -> tuple[bool
             except KeyError:
                 logger.warning(f"Image group {group_id} not found in IMAGE_GROUPS.")
     
-    logger.debug(f"Extracted image data to add: {pformat(image_data_to_add)}")
+    #logger.debug(f"Extracted image data to add: {pformat(image_data_to_add)}")
+
+    # If we have image groups to add, copy matching files and append a formatted
+    # Images section to the markdown. We search the capture input directory
+    # recursively for filenames containing the imageId and copy any matches.
+    try:
+        if image_data_to_add:
+            images_dir = os.path.join(target_dir, "images")
+            os.makedirs(images_dir, exist_ok=True)
+            appended_images = []
+            images_md_lines = ["\n\n## Images\n"]
+            # map imageId -> (rel_path, caption) for replacement in-md
+            image_map: dict = {}
+
+            search_root = CAPTURE_INPUT_DIR or os.path.dirname(path) or "."
+
+            for group_name, images in image_data_to_add.items():
+                images_md_lines.append(f"\n### {group_name}\n")
+                # render each image in the group
+                for img in images:
+                    try:
+                        iid = img.get('imageId') or img.get('id')
+                        caption = img.get('caption') or img.get('imageTitle') or img.get('title') or ""
+                        thumb = img.get('thumbnailUrl') or ""
+                        # find matching files under the capture input dir recursively
+                        matches = []
+                        if iid:
+                            matches = glob.glob(os.path.join(search_root, "**", f"*{iid}*"), recursive=True)
+                        # also consider thumbnail URL id in case different naming
+                        if not matches and isinstance(thumb, str) and thumb:
+                            m = re.search(r"/thumbnail/([0-9a-fA-F-\-]+)", thumb)
+                            if m:
+                                tid = m.group(1)
+                                matches = glob.glob(os.path.join(search_root, "**", f"*{tid}*"), recursive=True)
+
+                        rel_paths = []
+                        for match in sorted(set(matches)):
+                            # skip JSON metadata files; prefer binary images
+                            b = os.path.basename(match)
+                            if b.endswith('.json') or b.endswith('.meta.json'):
+                                # still copy metadata alongside image when present
+                                # we'll copy meta files later if we also find an image
+                                continue
+                            try:
+                                dst = os.path.join(images_dir, os.path.basename(match))
+                                if os.path.abspath(match) != os.path.abspath(dst):
+                                    shutil.copy2(match, dst)
+                                rel = os.path.join('images', os.path.basename(match))
+                                rel_paths.append(rel)
+                                appended_images.append(rel)
+                                # associate imageId -> rel + caption for later replacement
+                                if iid:
+                                    # prefer explicit caption if available
+                                    cval = caption or img.get('caption') or img.get('imageTitle') or img.get('title') or ''
+                                    image_map[iid] = (rel, cval)
+                            except Exception:
+                                continue
+
+                        # If we found images, render them; otherwise, render the thumbnail URL if present
+                        if rel_paths:
+                            for rp in rel_paths:
+                                cap = caption or os.path.basename(rp)
+                                # render image and then visible caption on the next line
+                                images_md_lines.append(f"![{cap}]({rp})")
+                                # ensure caption is visible (italicized)
+                                images_md_lines.append(f"*{cap}*")
+                                images_md_lines.append("")
+                        else:
+                            # try to render a thumbnail path (as-is) if no local file
+                            if thumb:
+                                # normalize thumb path to a relative filename when possible
+                                thumb_name = os.path.basename(thumb.split('?')[0])
+                                images_md_lines.append(f"![{caption}]({thumb_name})")
+                                images_md_lines.append(f"*{caption}*")
+                                images_md_lines.append("")
+                            else:
+                                # at minimum show caption text
+                                if caption:
+                                    images_md_lines.append(f"*{caption}*")
+                                    images_md_lines.append("")
+                    except Exception:
+                        continue
+
+            # attach Images section to markdown
+            # Before attaching, replace inline references to these images so
+            # their alt text shows the caption (not original alt).
+            try:
+                for iid, (rel, cap) in image_map.items():
+                    # replace markdown image links that include the imageId or filename
+                    bn = os.path.basename(rel)
+                    # 1) replace markdown image links where the URL contains the imageId
+                    md = re.sub(r'!\[[^\]]*\]\([^)]*' + re.escape(iid) + r'[^)]*\)', f'![{cap}]({rel})\n\n*{cap}*', md)
+                    # 2) replace markdown image links where URL contains the basename
+                    md = re.sub(r'!\[[^\]]*\]\([^)]*' + re.escape(bn) + r'[^)]*\)', f'![{cap}]({rel})\n\n*{cap}*', md)
+                    # 3) replace HTML <img ... src="...basename..."> with markdown image
+                    md = re.sub(r'<img[^>]+src=["\"][^"\']*' + re.escape(bn) + r'[^"\']*["\"][^>]*>', f'![{cap}]({rel})\n\n*{cap}*', md)
+                    # 4) replace full URLs ending with basename
+                    md = re.sub(r'https?://[^)\s]*' + re.escape(bn), rel, md)
+                    # 5) replace URL-encoded variants
+                    try:
+                        q = urllib.parse.quote(bn)
+                        md = md.replace(q, rel)
+                    except Exception:
+                        pass
+            except Exception:
+                pass
+
+            md = md.rstrip() + "\n" + "\n".join(images_md_lines) + "\n"
+
+            # update a top-level images index so we can see associations across runs
+            try:
+                images_index_path = os.path.join(out_dir, "_images_index.json")
+                images_index = {}
+                if os.path.exists(images_index_path):
+                    with open(images_index_path, 'r', encoding='utf-8') as ixf:
+                        try:
+                            images_index = json.load(ixf)
+                        except Exception:
+                            images_index = {}
+                images_index[out_path] = appended_images
+                with open(images_index_path, 'w', encoding='utf-8') as ixf:
+                    json.dump(images_index, ixf, indent=2, ensure_ascii=False)
+            except Exception:
+                pass
+    except Exception:
+        # non-fatal; continue without images
+        pass
 
     # Before writing, compute a normalized content hash to detect duplicates
     def normalize_for_hash(s: str) -> str:
@@ -743,10 +801,9 @@ def main(argv: Iterable[str] | None = None) -> int:
     for path in files:
         base = os.path.basename(path)
         # only process files that match the desired prefix
-        if not base.startswith("app.statdx.com_document_") or base.endswith("meta.json") or not "_media_" in base:
+        if not base.startswith("app.statdx.com_document_") or base.endswith("meta.json") or ("_media_" not in base):
             continue
 
-        logger.debug(f"Caching image groups from media file: {path}")
         with open(path, "r", encoding="utf-8") as f:
             image_group_data = json.load(f)
 
@@ -760,14 +817,29 @@ def main(argv: Iterable[str] | None = None) -> int:
                     "images": images,
                 }
                 #logger.debug(f"Image group {n}: {pformat(group)}")
+    
+    # Then cache document summary data
+    for path in files:
+        base = os.path.basename(path)
+        # only process files that match the desired prefix
+        if "document_summary" not in base or "meta" in base:
+            continue
+
+        with open(path, "r", encoding="utf-8") as f:
+            summary_data = json.load(f)
+
+            doc_id = base.split("_document_summary_")[1].split("_")[0]
+
+            DOCUMENT_SUMMARYS[doc_id] = summary_data                #logger.debug(f"Document summary {n}: {pformat(doc)}")
 
     logger.debug(f"Cached {len(IMAGE_GROUPS)} image groups from media files.")
+    logger.debug(f"Cached {len(DOCUMENT_SUMMARYS)} document summaries from summary files.")
 
     ok = 0
     for path in files:
         base = os.path.basename(path)
         # only process files that match the desired prefix
-        if not base.startswith("app.statdx.com_document_") or base.endswith("meta.json"):
+        if not base.startswith("app.statdx.com_document_") or base.endswith("meta.json") or ("_media_" in base) or ("breadcrumbs" in base) or ("_summary_" in base) or ("_tables_" in base):
             #if args.verbose:
             #    print(f"SKIP (not matching prefix): {path}")
             continue