ZZipCount
English

Batch word counter

Drop many documents at once — per-file results, grand totals, one-click CSV or JSON export. All local.

Count words across multiple files.

  • Processed locally; nothing uploaded.
  • File tools: PDF, DOCX and TXT.
  • Chinese/Japanese characters individually; other words split at whitespace.
Calculation methods →

Drop files here or click to choose

PDF, DOCX and TXT · mixed selection supported · parsed in your browser

How to review a multiple file word count

Compare drafts with the batch word counter. Get a multiple file word count through local bulk analysis of PDF, DOCX and TXT, then export results.

Select several PDF, DOCX or TXT files. Compare each row and the combined total, then export the results as CSV or JSON.

Checking failed rows before using bulk analysis

Review each result before accepting the multiple file word count; bulk analysis includes only text the parser can extract.

Text-layer parsing with page count and keyword analysis. Scanned image-only PDFs need OCR first — we do not run OCR. Word 2007+ documents. Legacy .doc is not supported — save as .docx first. Plain text, UTF-8. Other encodings may render incorrectly.

Are files uploaded for batch counting?

Files are processed on your device. Their contents are not uploaded to ZipCount. Clear the list or close the page when you finish.

Review each batch word counter row before exporting

Review each file before the total

The batch word counter accepts multiple PDF, DOCX and TXT files in one selection. Start with a small set that you can recognize by filename. Wait for each row to finish and review its status before using the combined word and character totals. Failed or empty rows should be investigated individually; they must not be interpreted as successfully counted blank documents. A PDF row can include its actual page count, while the other formats do not supply that same PDF page measurement. The batch word counter compares extracted text, not document formatting or visual similarity.

Avoid duplicates and preserve evidence

Use the batch word counter for a folder of submissions or translation source files after deciding whether alternate versions belong in the set. Adding the same source twice can inflate a project total; this is not an automatic duplicate-file detector. Export CSV for a spreadsheet or JSON for structured processing after checking the rows. Include the export with a list of the source filenames and your inclusion rules. Clear the set before starting an unrelated job. If a large batch strains browser memory, split it into smaller groups with distinct filenames and reconcile the successful rows.

Reconcile batch word counter totals with your source files

Set the scope before checking a limit

For an essay, count the text your school actually includes in the limit. A title page, bibliography and figure captions may follow different instructions. Paste the main argument first, then count any additional sections separately. When editing a long article, compare the introduction and conclusion with the central sections. A total can show that a draft is too long, but it cannot tell you which argument needs more evidence. Keep a copy in your editor so you can revise and compare the same passage again.

Understand punctuation and mixed languages

The counter separates ordinary words at whitespace. A contraction such as don’t and a hyphenated expression such as well-known each remain one word. A number such as 3.50 also counts as one. Punctuation by itself adds no words. Chinese characters and Japanese kana are counted individually, including next to Latin text without spaces. This is a reproducible counting convention, not linguistic word segmentation. For a bilingual assignment, check whether the recipient wants words, Chinese characters or a separate total for each language before interpreting the result. Character totals use UTF-16 units rather than visible symbols. An emoji or a letter with a separate accent can occupy several units. For a strict form limit, check the destination’s own counter as well, because its counting convention may differ.

Compare the same passage in Word and Google Docs

If another editor gives a different result, first select exactly the same passage in both tools. Copying a whole document can introduce repeated headers, page numbers or line breaks that were absent from the original selection. A DOCX file is counted from its main document text; separate footnote and header files are not read. A PDF depends on its extractable text layer and may contain awkward line endings. Inspect the extracted preview before relying on the total. Then compare a short sample containing the punctuation or mixed writing that caused the difference.

Separate text privacy from browser storage

Counting runs on your device without sending the pasted text or document contents to a counting server. ZipCount does not save the draft for your next visit, so keep your own source file before closing the page. Local processing does not control your clipboard, browser extensions or other people using a shared computer. Avoid leaving a private draft visible after you finish. For a speech, keep a separate rehearsal copy: the estimated duration is a starting point, and a timed reading with pauses gives a more useful delivery plan.

Keep a useful record

Before you start, keep the source document and write down what the receiving editor or submission form includes. After checking the result, note the filename, language, selected passage and counting convention alongside the total. A number copied without that context is difficult to compare later. If you revise the source, repeat the check on the revised version rather than combining totals from different drafts. Browser memory is finite: if a large file stalls, close other heavy tabs and try a smaller document. There is no promised maximum file size. A failed extraction is not evidence that the original document contains no words.

Related tools

Questions about inputs and results

Can I use a word counter online without an account?

Yes. ZipCount runs in the browser without an account. Choose the text tool for pasted passages or the matching file tool for documents. The result describes the text that was entered or extracted, so inspect its scope before using it for a formal submission.

Why can word count in Word differ?

Word and ZipCount can include different document sections or handle punctuation differently. Compare the same selected passage first. DOCX extraction here reads only the main document body, without separate headers, footers or footnotes. For an official submission, follow the recipient's specified editor and counting settings.

How does a word counter for PDF handle scans?

A PDF needs an extractable text layer. An image-only scan must go through OCR elsewhere first. Inspect the extracted text for missing letters, repeated headers and unusual column order. A readable page image alone does not establish that its words can be extracted correctly.

How do I compare a word counter with Google Docs?

Select the same passage in Google Docs and use its word-count command, then paste that selection into ZipCount. Compare words and characters separately. If a difference remains, test a short sample containing numbers, hyphenation or mixed writing before comparing an entire document.

Do I need a word counter extension?

No browser extension is required. Open the site directly in your browser. ZipCount does not provide a browser extension or connect to your editor account. Existing extensions and clipboard tools have their own access rules, which local counting cannot control.

How should I use batch word counter for a strict limit?

Count exactly the required passage and check whether the limit refers to words, characters or pages. Keep the instructions next to the result. The tool cannot decide whether references or captions belong in an institution's limit; that scope must come from the recipient.

Does batch word counter change or save my source?

No. Counting does not overwrite the source file or save a draft for a future visit. Keep a copy in your editor. File contents and pasted text are processed locally; ordinary page and asset requests still occur when the site is loaded.

How can I keep the result for later?

Record the total with the filename, language and counted scope. The batch tool offers CSV and JSON exports. Standalone file, character and reading tools do not all have download buttons; copy the relevant result manually or use the batch tool when a structured file report is needed.

Last updated: