for page_num in range(len(doc)): page = doc[page_num] # Method 1: Draw white over watermark (crude but works) page.draw_rect(common_rect, color=(1,1,1), fill=(1,1,1), width=0) # Method 2: Remove text objects (more aggressive) page.clean_contents() doc.save(output_pdf) doc.close()
# Detect watermark region (first page, look for repeated gray text) first_page = doc[0] watermarks = [] for block in first_page.get_text("dict")["blocks"]: for line in block.get("lines", []): for span in line.get("spans", []): if span["color"] < 0.5: # dark gray/black threshold bbox = fitz.Rect(span["bbox"]) watermarks.append(bbox) pdf remove watermark github
# Most watermarks are at same coordinates across pages common_rect = fitz.Rect() if watermarks: common_rect = watermarks[0] # simplify: take first for page_num in range(len(doc)): page = doc[page_num] #
No single tool works universally. The deep approach: 3. Deep Dive: PyMuPDF Script (Most Effective) import fitz # PyMuPDF def remove_watermark_by_rect(input_pdf, output_pdf, rect_tolerance=0.1): """ Remove all vector/text elements inside specified rectangular regions. rect_tolerance: match watermark position across pages (fraction of page) """ doc = fitz.open(input_pdf) []): for span in line.get("spans"
And never remove watermarks to misrepresent ownership—that’s where engineering becomes forgery. This piece was assembled from real GitHub source analysis and PDF internals documentation. The code examples run on Python 3.8+ with PyMuPDF installed ( pip install PyMuPDF ).