PDF inventory
Pages, size, format, author, encryption and attachments of each file, at a glance.
Your files never leave your deviceDrop your PDFs here
Analyze as many files as you like at once.
How to build a PDF inventory, step by step
This tool analyzes several PDFs at once and produces an exportable table of their pages, size, metadata and particulars — with no limit on the number of files.
Drop your PDFs
Drag in one or several files, or add more afterwards: they’re appended to the existing table rather than replacing it.
Wait for the analysis
Each file is opened and read in turn; progress is shown while it runs.
Review the table
Name, size, pages, format, title, author, creation date, encryption, presence of text and number of attachments appear as columns; the trash icon removes a row that shouldn’t be in the export.
Export as CSV or Excel
Both formats carry exactly the same columns; the CSV opens anywhere, the Excel file (.xlsx) is better suited to sorting directly in a spreadsheet.
An unreadable or password-protected file still appears in the table, with its name and size: its other columns stay blank rather than being guessed at.
Frequently asked questions
How many files can I analyze at once?
As many as you like, with no limit imposed by the tool — only your device’s memory bounds how many files you drop at once. You can also add files in several batches: they’re appended to the existing table.
What’s the difference between the CSV and the Excel export?
Both contain exactly the same columns. The CSV opens everywhere, including in a non-Microsoft spreadsheet app; the Excel workbook (.xlsx) is handy if you want to sort or format the table directly in Excel or LibreOffice.
How is the page format (A4, Letter…) determined?
From the dimensions of the first page, compared against the most common standard sizes (A4, A3, A5, Letter, Legal), portrait or landscape included. A size that matches no standard is shown as-is, in points.
How is the presence of a text layer checked?
The tool scans the file’s first few pages for selectable text. A document made entirely of scanned images with no character recognition comes back as “Text: No” — a sign that OCR would help before making use of its content.
What happens to an unreadable or password-protected file?
It still appears in the table, with its name and size. Page count, title and the other metadata stay empty, because they could not be read. The “Encrypted” column only shows “Yes” when the file is genuinely password-protected: a file that is simply corrupted or invalid shows “No” there, even though it remains unreadable. Nothing is silently dropped: across two hundred documents you see exactly which ones could not be opened.
Which columns does the exported table contain?
File name, size, page count, page format, title, author, creation date, encrypted or not, presence of a text layer, and number of attachments. Enough to sort a whole collection and spot at a glance which scans still need text recognition.
Do the title and author come from the file name?
No, from the PDF’s internal metadata. That is why they are often empty, or still carry the name of an earlier document when the file was produced from a template. Before archiving, the author column is worth a second look.