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Apple Notes import PDF markup annotate PDF freeform import PDF

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python - <<'PY' from PIL import Image from pathlib import Path p=Path('/tmp/workspace/attachments/ef4bd1ef-8f3f-4497-b2b5-2bd9648f62fd') for f in sorted(p.glob('*.jpg')): im=Image.open(f) print(f.name, im.size) PY

mkdir -p "/tmp/workspace/pituitary-notes/src" "/tmp/workspace/pituitary-notes/output" && python - <<'PY' import cv2, numpy as np from pathlib import Path p=Path('/tmp/workspace/attachments/ef4bd1ef-8f3f-4497-b2b5-2bd9648f62fd') for f in sorted(p.glob('*.jpg')): img=cv2.imread(str(f)); h,w=img.shape[:2] hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV) # notebook paper pale region, nearly no saturation mask=cv2.inRange(hsv, (0,0,100),(180,90,255)) mask=cv2.morphologyEx(mask,cv2.MORPH_CLOSE,np.ones((25,25),np.uint8)) cnts,_=cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) cs=sorted(cnts,key=cv2.contourArea,reverse=True)[:3] print('\n',f.name) for c in cs: area=cv2.contourArea(c); peri=cv2.arcLength(c,True); ap=cv2.approxPolyDP(c,.02*peri,True) print('area',round(area), 'approx',ap.reshape(-1,2).tolist()) PY

python - <<'PY' from pathlib import Path import cv2, numpy as np from PIL import Image, ImageEnhance, ImageFilter from reportlab.pdfgen import canvas from reportlab.lib.pagesizes import A4 from reportlab.lib.utils import ImageReader src=Path('/tmp/workspace/attachments/ef4bd1ef-8f3f-4497-b2b5-2bd9648f62fd') out=Path('/tmp/workspace/pituitary-notes/output') out.mkdir(parents=True,exist_ok=True) W,H=1240,1754 def order(pts): pts=np.array(pts,dtype=np.float32) s=pts.sum(1); d=np.diff(pts,axis=1).ravel() return np.float32([pts[np.argmin(s)],pts[np.argmin(d)],pts[np.argmax(s)],pts[np.argmax(d)]]) def warp(img, pts, name): p=order(pts); dst=np.float32([[0,0],[W-1,0],[W-1,H-1],[0,H-1]]) x=cv2.warpPerspective(img,cv2.getPerspectiveTransform(p,dst),(W,H),borderValue=(250,250,250)) # gentle color normalization, retain writing and figures lab=cv2.cvtColor(x,cv2.COLOR_BGR2LAB); l,a,b=cv2.split(lab) l=cv2.createCLAHE(clipLimit=1.3,tileGridSize=(8,8)).apply(l) x=cv2.cvtColor(cv2.merge([l,a,b]),cv2.COLOR_LAB2BGR) cv2.imwrite(str(out/name),x,[cv2.IMWRITE_JPEG_QUALITY,95]) return out/name specs=[ ('photo-1789553670818.jpg',[(176,243),(1064,255),(1162,1594),(141,1594)],'01_basics.jpg'), ('photo-1789553679836.jpg',[(124,168),(1137,100),(1190,1511),(70,1570)],'02_anterior_pituitary.jpg'), ('photo-1789553686119.jpg',[(207,132),(1034,130),(1163,1492),(170,1555)],'03_development.jpg'), ('photo-1789553694342.jpg',[(67,215),(1126,180),(1192,1578),(150,1595)],'04_hypophyseal_relationship.jpg'), ('photo-1789553700378.jpg',[(145,83),(1063,89),(1135,1584),(142,1585)],'05_adenoma.jpg'), ('photo-1789553723259.jpg',[(118,148),(1120,111),(1195,1592),(0,1480)],'08_mri_prolactin.jpg'), ] pages=[] for fn,pts,on in specs: pages.append(warp(cv2.imread(str(src/fn)),pts,on)) # two-page spread: rotate clockwise and crop each upright page separately im=cv2.imread(str(src/'photo-1789553713281.jpg')) im=cv2.rotate(im,cv2.ROTATE_90_CLOCKWISE) # now 1600x1200, book pages occupy two facing pages. trim outer surroundings and split close to spine # order output as page 6 (left) then page 7 (right) in the physical spread left=im[80:1145, 20:805] right=im[55:1135, 770:1590] # fit to A4 without distortion using white canvases def fit(img,name): h,w=img.shape[:2]; scale=min(W/w,H/h); nw,nh=round(w*scale),round(h*scale) can=np.full((H,W,3),250,np.uint8); r=cv2.resize(img,(nw,nh),interpolation=cv2.INTER_CUBIC) can[(H-nh)//2:(H-nh)//2+nh,(W-nw)//2:(W-nw)//2+nw]=r lab=cv2.cvtColor(can,cv2.COLOR_BGR2LAB); l,a,b=cv2.split(lab);l=cv2.createCLAHE(clipLimit=1.2,tileGridSize=(8,8)).apply(l);can=cv2.cvtColor(cv2.merge([l,a,b]),cv2.COLOR_LAB2BGR) path=out/name;cv2.imwrite(str(path),can,[cv2.IMWRITE_JPEG_QUALITY,95]);return path p6=fit(left,'06_adenoma_features.jpg');p7=fit(right,'07_mri_tumour.jpg') # logical book order: original pages 11-18. Spread contains 16 and 17. rotated crop ordering determined visually may be 16 left, 17 right pages=pages[:5]+[p6,p7]+[pages[5]] pdf=out/'Pituitary_Gland_Notes_Annotatable.pdf' c=canvas.Canvas(str(pdf),pagesize=A4,pageCompression=1) c.setTitle('Pituitary Gland Notes - Annotatable') c.setAuthor('Prepared from user-supplied study photographs') for pg in pages: c.drawImage(ImageReader(str(pg)),0,0,width=A4[0],height=A4[1]) c.showPage() c.save() print(pdf) print('\n'.join(map(str,pages))) PY

python - <<'PY' from pypdf import PdfReader from pathlib import Path p=Path('/tmp/workspace/pituitary-notes/output/Pituitary_Gland_Notes_Annotatable.pdf') r=PdfReader(str(p)) print('exists=',p.exists(),'bytes=',p.stat().st_size,'pages=',len(r.pages)) for i,page in enumerate(r.pages,1): print(i,tuple(round(float(x),1) for x in page.mediabox)) # create lightweight contact sheet from source derivatives for visual inspection from PIL import Image,ImageDraw ims=[Image.open(x).resize((248,351)) for x in sorted(p.parent.glob('0*.jpg'))] canvas=Image.new('RGB',(4*248,2*375),'white'); d=ImageDraw.Draw(canvas) for n,im in enumerate(ims): x=(n%4)*248; y=(n//4)*375; canvas.paste(im,(x,y+24));d.text((x+8,y+5),f'Page {n+1}',fill='black') canvas.save(p.parent/'verification_contact_sheet.jpg',quality=90) PY

python - <<'PY' from pathlib import Path import cv2, numpy as np from reportlab.pdfgen import canvas from reportlab.lib.pagesizes import A4 from reportlab.lib.utils import ImageReader out=Path('/tmp/workspace/pituitary-notes/output'); src=Path('/tmp/workspace/attachments/ef4bd1ef-8f3f-4497-b2b5-2bd9648f62fd') W,H=1240,1754 im=cv2.imread(str(src/'photo-1789553713281.jpg')) im=cv2.rotate(im,cv2.ROTATE_90_CLOCKWISE) # After rotation, the facing pages are stacked vertically. Crop the paper boundaries with a narrow spine trim. # Top half is original left-hand page 17; bottom half original right-hand page 16. def make(page, name): h,w=page.shape[:2] scale=min(W/w,H/h); nw,nh=round(w*scale),round(h*scale) dst=np.full((H,W,3),250,np.uint8); r=cv2.resize(page,(nw,nh),interpolation=cv2.INTER_CUBIC) dst[(H-nh)//2:(H-nh)//2+nh,(W-nw)//2:(W-nw)//2+nw]=r lab=cv2.cvtColor(dst,cv2.COLOR_BGR2LAB); l,a,b=cv2.split(lab);l=cv2.createCLAHE(clipLimit=1.2,tileGridSize=(8,8)).apply(l);dst=cv2.cvtColor(cv2.merge([l,a,b]),cv2.COLOR_LAB2BGR) path=out/name;cv2.imwrite(str(path),dst,[cv2.IMWRITE_JPEG_QUALITY,95]); return path # horizontal page regions after rotation. half order in book is page 17 then page16, but output requires page16 then page17 p17=make(im[20:605,35:1575],'07_mri_tumour.jpg') p16=make(im[605:1180,20:1575],'06_adenoma_features.jpg') # Rebuild correct logical page order pages=[out/'01_basics.jpg',out/'02_anterior_pituitary.jpg',out/'03_development.jpg',out/'04_hypophyseal_relationship.jpg',out/'05_adenoma.jpg',p16,p17,out/'08_mri_prolactin.jpg'] pdf=out/'Pituitary_Gland_Notes_Annotatable.pdf' c=canvas.Canvas(str(pdf),pagesize=A4,pageCompression=1);c.setTitle('Pituitary Gland Notes - Annotatable');c.setAuthor('Prepared from user-supplied study photographs') for pg in pages: c.drawImage(ImageReader(str(pg)),0,0,width=A4[0],height=A4[1]);c.showPage() c.save() from pypdf import PdfReader print(len(PdfReader(str(pdf)).pages),pdf.stat().st_size) PY

pituitary gland anatomy anterior posterior pituitary hormones current clinical reference

pituitary gland AND physiology

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python - <<'PY' from pathlib import Path from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER from reportlab.lib.units import mm from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, PageBreak, KeepTogether from reportlab.pdfbase.pdfmetrics import stringWidth root=Path('/tmp/workspace/pituitary-notes') out=root/'output' out.mkdir(parents=True, exist_ok=True) pdf=out/'Pituitary_Gland_Typed_Notes.pdf' styles=getSampleStyleSheet() styles.add(ParagraphStyle(name='TitleClean', parent=styles['Title'], fontName='Helvetica-Bold', fontSize=23, leading=28, textColor=colors.HexColor('#123554'), alignment=TA_CENTER, spaceAfter=9)) styles.add(ParagraphStyle(name='SubTitle', parent=styles['Normal'], fontName='Helvetica', fontSize=10.5, leading=14, textColor=colors.HexColor('#58708A'), alignment=TA_CENTER, spaceAfter=18)) styles.add(ParagraphStyle(name='H1Clean', parent=styles['Heading1'], fontName='Helvetica-Bold', fontSize=15, leading=19, textColor=colors.HexColor('#123554'), spaceBefore=10, spaceAfter=7)) styles.add(ParagraphStyle(name='H2Clean', parent=styles['Heading2'], fontName='Helvetica-Bold', fontSize=11.5, leading=14, textColor=colors.HexColor('#16618A'), spaceBefore=8, spaceAfter=4)) styles.add(ParagraphStyle(name='BodyClean', parent=styles['BodyText'], fontName='Helvetica', fontSize=9.4, leading=13.2, spaceAfter=5)) styles.add(ParagraphStyle(name='Small', parent=styles['BodyText'], fontName='Helvetica', fontSize=8.2, leading=10.6, spaceAfter=2)) styles.add(ParagraphStyle(name='Tiny', parent=styles['BodyText'], fontName='Helvetica', fontSize=7.4, leading=9.1, spaceAfter=1.5)) styles.add(ParagraphStyle(name='Callout', parent=styles['BodyText'], fontName='Helvetica', fontSize=9.1, leading=12.5, leftIndent=4, rightIndent=4, spaceBefore=4, spaceAfter=5)) P=lambda text, sty='BodyClean': Paragraph(text,styles[sty]) def table(rows,widths,small=False,header=True): sty='Tiny' if small else 'Small' data=[[P(c,sty) for c in r] for r in rows] t=Table(data,colWidths=widths,repeatRows=1 if header else 0,hAlign='LEFT') commands=[('GRID',(0,0),(-1,-1),0.35,colors.HexColor('#9CB5C9')),('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),5),('RIGHTPADDING',(0,0),(-1,-1),5),('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4)] if header: commands += [('BACKGROUND',(0,0),(-1,0),colors.HexColor('#D9EAF5')),('TEXTCOLOR',(0,0),(-1,0),colors.HexColor('#123554'))] t.setStyle(TableStyle(commands)); return t def bullet(text): return P('&bull; '+text) def callout(title,text,color='#FFF4C7'): t=Table([[P(f'<b>{title}</b><br/>{text}','Callout')]],colWidths=[170*mm]) t.setStyle(TableStyle([('BACKGROUND',(0,0),(-1,-1),colors.HexColor(color)),('BOX',(0,0),(-1,-1),0.55,colors.HexColor('#C99B30')),('LEFTPADDING',(0,0),(-1,-1),7),('RIGHTPADDING',(0,0),(-1,-1),7),('TOPPADDING',(0,0),(-1,-1),4),('BOTTOMPADDING',(0,0),(-1,-1),4)]));return t def footer(canv,doc): canv.saveState(); canv.setStrokeColor(colors.HexColor('#B5C9D8'));canv.line(20*mm,14*mm,190*mm,14*mm) canv.setFont('Helvetica',8);canv.setFillColor(colors.HexColor('#57718A'));canv.drawString(20*mm,9*mm,'Pituitary Gland - Typed Study Notes');canv.drawRightString(190*mm,9*mm,f'Page {doc.page}') canv.restoreState() doc=SimpleDocTemplate(str(pdf),pagesize=A4,rightMargin=20*mm,leftMargin=20*mm,topMargin=16*mm,bottomMargin=20*mm,title='Pituitary Gland - Typed Study Notes',author='Prepared from supplied notes') story=[] story += [P('PITUITARY GLAND','TitleClean'),P('Clean typed study notes | Anatomy, development, physiology, and common lesions','SubTitle')] story += [callout('Quick orientation','The pituitary (hypophysis) lies in the <b>sella turcica</b> and is linked to the hypothalamus by the infundibulum. It has functionally distinct anterior and posterior lobes. Calling it the “master gland” is useful, but hypothalamic control remains central.','#E8F3FA')] story += [P('1. Anatomy and embryology','H1Clean')] story += [table([ ['Structure','Embryologic origin','Main components / role'], ['Anterior pituitary (adenohypophysis)','Oral ectoderm: upward evagination from the primitive oral cavity, called <b>Rathke pouch</b>.','Pars distalis, pars tuberalis, and pars intermedia. Contains endocrine cells that <b>synthesize and secrete</b> pituitary hormones.'], ['Posterior pituitary (neurohypophysis)','Neuroectoderm: downward extension of the diencephalon, the <b>infundibulum</b>.','Pars nervosa and stalk. Contains axons and terminals of hypothalamic neurons; it <b>stores and releases</b> AVP and oxytocin.'], ], [43*mm,62*mm,65*mm])] story += [Spacer(1,5),callout('Developmental correlate','Rathke pouch normally loses its connection to the oral cavity by the end of the second month. Remnants can give rise to a Rathke cleft cyst; craniopharyngioma is also related to this developmental region.','#FFF4C7')] story += [P('Congenital hypopituitarism','H2Clean'),bullet('<b>Pituitary dysplasia</b> is an important congenital cause. Anterior-pituitary hormone deficiencies may occur while the posterior lobe remains intact.'),bullet('Because anterior-pituitary development involves midline migration, associated <b>midline craniofacial findings</b> can occur, such as a single central incisor or cleft lip/palate.')] story += [P('2. Anterior pituitary cell types','H1Clean')] story += [table([ ['Cell','Principal hormone(s)','Key fact'], ['Somatotroph','Growth hormone (GH)','Most abundant population, about 50%; typically lateral pars distalis.'], ['Lactotroph','Prolactin (PRL)','About 15%; among the latest anterior-pituitary cell types to differentiate.'], ['Corticotroph','POMC-derived peptides, especially ACTH','POMC also gives rise to MSH-related peptides and beta-lipotropin.'], ['Gonadotroph','FSH and LH','Approximately 10-15%; often scattered through the anterior pituitary.'], ['Thyrotroph','TSH','Least abundant, about 5%.'], ], [34*mm,54*mm,82*mm],small=True)] story += [Spacer(1,5),P('Histochemical grouping','H2Clean'),table([ ['Group','Hormones'], ['Acidophils','GH and prolactin'], ['Basophils','ACTH, TSH, FSH, and LH'], ], [55*mm,115*mm])] story += [PageBreak()] story += [P('3. Pituitary development transcription factors','H1Clean'),P('Loss-of-function variants in developmental transcription factors can lead to pituitary dysplasia and selective or combined pituitary hormone deficiency. High-yield associations:', 'BodyClean')] story += [table([ ['Factor','Main association to remember'], ['PROP1','Required for development of multiple anterior-pituitary lineages, especially GH, PRL, TSH, and gonadotroph function; ACTH deficiency can occur later.'], ['PIT1 (POU1F1)','Somatotroph, lactotroph, and thyrotroph differentiation: GH, PRL, and TSH.'], ['TPIT (TBX19)','Corticotroph differentiation: ACTH deficiency when impaired.'], ['GATA-2 / GATA-3, SF-1, DAX-1','Important in gonadotroph lineage development.'], ], [48*mm,122*mm])] story += [P('4. Hypothalamus to anterior pituitary','H1Clean'),P('The anterior lobe is regulated through the <b>hypothalamo-hypophyseal portal system</b>, rather than by a direct neuronal tract.', 'BodyClean')] story += [table([ ['Step','Sequence'], ['1. Primary plexus','The <b>superior hypophyseal arteries</b> supply the median eminence and upper infundibulum.'], ['2. Portal vessels','Long portal vessels carry hypothalamic releasing or inhibitory hormones down the stalk.'], ['3. Secondary plexus','These signals reach anterior-pituitary endocrine cells, which release their hormones into the systemic circulation.'], ], [40*mm,130*mm])] story += [Spacer(1,5),P('Principal hypothalamic signals','H2Clean'),table([ ['Hypothalamic hormone','Main anterior-pituitary target'], ['GHRH','Stimulates GH release from somatotrophs'], ['CRH','Stimulates ACTH release from corticotrophs'], ['TRH','Stimulates TSH release; can also stimulate PRL'], ['GnRH','Stimulates LH and FSH release from gonadotrophs'], ['Dopamine','<b>Inhibits</b> prolactin release from lactotrophs'], ], [65*mm,105*mm])] story += [Spacer(1,5),callout('Key rule','Most anterior-pituitary axes are under net stimulatory hypothalamic control. <b>Prolactin is the major exception:</b> tonic hypothalamic dopamine inhibits its secretion. Stalk interruption can therefore cause mild to moderate hyperprolactinemia (the stalk effect).','#FFF4C7')] story += [P('5. Posterior pituitary: neural connection','H1Clean')] story += [bullet('Magnocellular neurons in the <b>supraoptic</b> and <b>paraventricular</b> nuclei synthesize vasopressin (AVP/ADH) and oxytocin.'),bullet('Hormones travel down axons through the pituitary stalk and are stored in nerve terminals of the posterior lobe.'),bullet('AVP is produced as a precursor that is cleaved into <b>AVP + neurophysin II + copeptin</b>. Oxytocin is transported with neurophysin I.'),bullet('The posterior lobe releases, but does not synthesize, these hypothalamic hormones.')] story += [PageBreak()] story += [P('6. Blood supply and clinical implications','H1Clean')] story += [table([ ['Vessel','Main territory / consequence'], ['Superior hypophyseal arteries','Median eminence and anterior-pituitary portal system. Their portal circulation is essential for hypothalamic regulation of the anterior lobe.'], ['Inferior hypophyseal arteries','Supply the posterior pituitary more directly.'], ], [55*mm,115*mm])] story += [Spacer(1,5),P('Metastases and diabetes insipidus','H2Clean'),bullet('Pituitary metastases preferentially involve the <b>posterior lobe</b>, partly because of its direct arterial supply.'),bullet('Breast cancer is a common primary source of pituitary metastasis.'),bullet('Posterior-lobe or stalk involvement can lead to <b>central diabetes insipidus</b> through impaired AVP release.')] story += [P('7. Pituitary adenomas / pituitary neuroendocrine tumors','H1Clean'),P('Modern terminology often uses <b>pituitary neuroendocrine tumor (PitNET)</b>; “pituitary adenoma” remains widely used clinically.', 'BodyClean')] story += [table([ ['Size','Definition'], ['Microadenoma','< 1 cm'], ['Macroadenoma','≥ 1 cm'], ], [55*mm,115*mm])] story += [Spacer(1,5),P('Functional versus nonfunctioning lesions','H2Clean'),table([ ['Feature','Functioning lesion','Nonfunctioning lesion'], ['Hormone production','Clinically significant hormone excess','No clinically evident hormone hypersecretion'], ['Typical presentation','Hormonal syndrome; can also have mass effect','Mass effect and/or hypopituitarism; stalk effect may cause raised PRL'], ['Common secretion pattern','Prolactinomas are most common; then GH- and ACTH-secreting tumors. TSH-, FSH-, and LH-secreting tumors are uncommon.','May be discovered when large or incidentally.'], ], [42*mm,64*mm,64*mm],small=True)] story += [Spacer(1,5),callout('Important correction','Craniopharyngioma, Rathke cleft cyst, eosinophilic granuloma, and Langerhans-cell histiocytosis are <b>not nonfunctioning pituitary adenomas</b>. They are separate sellar or suprasellar conditions that can produce mass effect and/or pituitary dysfunction.','#FCE9E6')] story += [P('8. Mass effects of a macroadenoma','H1Clean')] story += [table([ ['Direction of extension','Structure affected','Possible finding'], ['Superior','Optic chiasm','Classically bitemporal hemianopia'], ['Lateral','Cavernous sinus: CN III, IV, V1, V2, VI and internal carotid artery','Ophthalmoplegia, diplopia, facial sensory loss; CN VI is often affected early because of its medial position.'], ['Inferior','Sphenoid sinus','Inferior extension'], ['Posterior','Dorsum sellae / brainstem region','Less typical pattern; depends on extent'], ], [35*mm,58*mm,77*mm],small=True)] story += [PageBreak()] story += [P('9. Imaging essentials','H1Clean')] story += [bullet('<b>Contrast-enhanced MRI</b> is the key imaging study for sellar lesions. Normal anterior pituitary enhances relatively uniformly after contrast.'),bullet('The normal posterior-pituitary “bright spot” on T1-weighted MRI reflects stored neurosecretory material. Its absence may be seen in central diabetes insipidus but is not diagnostic in isolation.'),bullet('An ectopic posterior pituitary can be seen as a T1 bright focus along the stalk or hypothalamic region in congenital pituitary disorders.')] story += [P('10. One-page revision checklist','H1Clean')] for tx in [ '<b>Anterior = oral ectoderm / Rathke pouch.</b> Posterior = neuroectoderm / diencephalic infundibulum.', '<b>Anterior cells:</b> somatotroph-GH, lactotroph-PRL, corticotroph-ACTH, thyrotroph-TSH, gonadotroph-FSH/LH.', '<b>Stains:</b> acidophils = GH + PRL; basophils = ACTH + TSH + FSH + LH.', '<b>Portal circulation:</b> superior hypophyseal artery → primary plexus → portal veins → anterior pituitary.', '<b>Prolactin:</b> mainly under dopamine inhibition. Stalk interruption can raise PRL.', '<b>Posterior lobe:</b> stores and releases hypothalamic AVP and oxytocin; AVP precursor gives copeptin.', '<b>Metastases:</b> often posterior lobe; consider central DI.', '<b>Macroadenoma:</b> ≥1 cm; optic chiasm compression produces bitemporal visual field loss.', ]: story += [bullet(tx)] story += [Spacer(1,10),callout('Source note','This is a reorganized typed study aid based on the supplied photographs, with selected terminology and factual corrections. Confirm local exam conventions with your prescribed text or faculty material. Core development and physiology were cross-checked with Langman’s Medical Embryology, Ganong’s Review of Medical Physiology, and Goldman-Cecil Medicine.','#E8F3FA')] doc.build(story,onFirstPage=footer,onLaterPages=footer) print(pdf, pdf.stat().st_size) PY

python - <<'PY' from pathlib import Path from pypdf import PdfReader p=Path('/tmp/workspace/pituitary-notes/output/Pituitary_Gland_Typed_Notes.pdf') r=PdfReader(str(p)) print('exists',p.exists(),'pages',len(r.pages),'size',p.stat().st_size) for i,page in enumerate(r.pages,1): text=page.extract_text() or '' print(i, 'chars',len(text),'has_title', 'PITUITARY' in text.upper(), 'box',tuple(round(float(v),1) for v in page.mediabox)) print('first:',(r.pages[0].extract_text() or '')[:280].replace('\n',' | ')) PY