Detect Anomalous Fonts in PDF
Budget: $30 – $250 CAD
I’m holding a 90-page PDF that hides exactly twelve words whose font or point size differs from the surrounding text—sometimes the change is only a single letter inside the word. These anomalies are sprinkled randomly throughout the document, so there’s no predictable pattern to follow.
Whether you comb through the pages manually in Adobe Acrobat, run a Python script with pdfminer or PyPDF2, or mix both approaches, I’m fine as long as every out-of-place word is captured accurately.
Deliverables
• Either a succinct list of the twelve words with their corresponding page numbers, or a copy of the PDF with each word clearly highlighted.
• Nothing else is required; I don’t need a formal report or spreadsheet.
Precision matters here—I’ll confirm all twelve hits—so let me know how you plan to tackle the search and how soon you can turn the file back around.
Whether you comb through the pages manually in Adobe Acrobat, run a Python script with pdfminer or PyPDF2, or mix both approaches, I’m fine as long as every out-of-place word is captured accurately.
Deliverables
• Either a succinct list of the twelve words with their corresponding page numbers, or a copy of the PDF with each word clearly highlighted.
• Nothing else is required; I don’t need a formal report or spreadsheet.
Precision matters here—I’ll confirm all twelve hits—so let me know how you plan to tackle the search and how soon you can turn the file back around.
Related categories:
Python
Data Processing
Excel
PDF
LaTeX
Data Extraction
Data Analysis
Adobe Acrobat