Why “just the text” is a harder request than it sounds
A Word document is a rendering instruction set, not a text file. The words you read are scattered across XML runs, split mid-sentence wherever formatting changes, interleaved with revision markers, field codes, and style references. Getting “just the text” means reassembling those fragments in document order while discarding everything else — which is why naive approaches fail in characteristic ways. Opening the DOCX in a text editor shows XML soup. Copy-paste drags formatting along on the clipboard. Save-As-TXT in Word works but requires Word, a license, and opening every file one by one.
The structural extraction this tool performs — unzip, parse, walk paragraphs — is the same approach used by search indexers and document pipelines, running in your browser instead of a server.
Reading the numbers: what the four counts actually tell you
The statistics panel isn’t decoration; each number answers a different editorial question. Words is the currency of content briefs, essay limits, and translation quotes (translators bill per source word — this count is your invoice check). Characters with spaces is what Twitter/X, meta descriptions, and most form fields measure. Characters without spaces is the standard billing unit in some markets (notably German and Japanese translation) and the metric behind classic typing-speed math. Paragraphs is the fastest sanity check that extraction preserved the document’s structure — a 40-page report collapsing to 3 paragraphs signals manual line breaks in the source.
One nuance worth knowing: different programs disagree on word counts by a percent or two, because “what is a word” has edge cases — hyphenated compounds, numbers, URLs. If a submission limit is strict, check which counter the recipient uses; the differences cluster exactly at the boundary where limits bite.
Where this sits among the extraction tools
This extractor is the Word-side sibling of PDF to Text — same job, different container, and the PDF version has a harder time because PDFs store positioned glyphs rather than flowing paragraphs. If you need the text with its structure — headings and lists intact for a wiki or repository — Word to Markdown preserves what this tool deliberately strips. And for analysis beyond counts (reading time, sentence statistics, keyword density), paste the extraction into the Text Counter.