Paste or type text, optionally load a .txt file, and watch live counts, length goals, and reading or speaking estimates update in the browser.
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Word Counter measures the text statistics implemented by the tool: words, characters including spaces, characters excluding whitespace, sentences, paragraphs, non-empty lines, average words per sentence, average characters per word, longest word token, plus estimated reading and speaking times. Optional length goals compare the current character or word total against fixed limits for a tweet (280 characters), meta description (160 characters), essay (500 words), blog post (1,000 words), and speech (750 words). The tool counts text; it does not evaluate grammar, originality, reading level, or writing quality.
Words are identified with a whitespace split after trimming the string, so runs of spaces, tabs, and newlines separate tokens, while hyphenated terms and apostrophe contractions usually stay as a single token. Character totals use JavaScript string length (UTF-16 code units), and the no-spaces figure removes all whitespace characters. Sentence totals are estimated by splitting on periods, question marks, and exclamation marks, so abbreviations, decimals, and URLs can skew the result. Paragraphs are non-empty blocks separated by blank lines; lines are non-empty rows after a newline split.
Reading time assumes a fixed 200 words per minute and speaking time assumes 130 words per minute. Neither rate is adjustable in the interface. Short texts under one minute show seconds (at least one second when there is at least one word); longer estimates round up to whole minutes. These durations are planning estimates only and do not account for pauses, difficulty, or personal pace. There is no keyword-frequency panel, density report, or SEO ranking analysis—only length metrics and the preset goal bars.
Analysis runs in the browser from typed or pasted text and from plain .txt files opened with the file picker or drag-and-drop. Imported file bytes are read locally and are not posted to a counting API. Ordinary website assets may still load. Identified analytics may include whether text arrived by paste or file, imported file type and size, and the first successful word and character totals—not the raw text, pasted body, or filename.
There is no hard character ceiling in the counter itself; very large drafts can slow the tab because stats recalculate on each change without a worker. Plain .txt files are limited to 5 MB; Word, PDF, Markdown, HTML, and rich-text formats are not accepted as uploads. Languages written without spaces, emoji and combined Unicode sequences, and punctuation-based sentence splitting can produce totals that differ from other editors. Clipboard actions copy the text or a stats summary; there is no file download or undo after Clear or Start over.
Typical tasks this tool is built for.
Word counting, file reading, and statistics run locally in the browser. Typed, pasted, and imported plain-text content is not uploaded for analysis. DevToolKit may receive usage or diagnostic metadata such as input method, imported file type and size, word count, and character count. Identified analytics do not include the raw text, pasted content, or filenames.
Practical tips before you download or share the output.
Words use whitespace tokenization (trim + split on whitespace). Characters use JavaScript string length; no-spaces removes all whitespace. Sentences split on . ! ?; paragraphs on blank lines; lines are non-empty rows. Reading ~200 wpm, speaking ~130 wpm (estimates; short texts show seconds). .txt only up to 5 MB. Local counting; analytics may include method, file type/size, wordCount, characterCount—not raw text. No grammar, plagiarism, keyword density, or file export.
Longer reads that pair well with this tool.
Developer guide
Fourteen In-browser developer utilities for JSON, encoding, tokens, diffs, hashes, regex, SQL, UUIDs, and timestamps — fast checks without installing anything.
SEO guide
Manual SEO fundamentals for small sites — titles, descriptions, crawlability, and sitemaps — without relying on fake analyzer tools.
Writing guide
Word Counter and Text Diff for drafts — count length, compare revisions, and publish cleaner copy with two In-browser DevToolKit tools.
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It measures implemented text statistics—words, characters with and without spaces, sentences, paragraphs, lines, averages, longest word, length goals, and estimated reading and speaking times—from text you enter or load from a .txt file.
Words; characters; characters without spaces; sentences; paragraphs; lines; average words per sentence; average characters per word; longest word; reading time; speaking time; and progress against selectable length goals.
The text is trimmed, split on whitespace (spaces, tabs, newlines), and empty pieces are discarded. That is whitespace-based tokenization, not linguistic word segmentation.
The characters total is the JavaScript string length of the current text (UTF-16 code units). It includes spaces, tabs, and newlines.
It is the string length after removing all whitespace characters with a whitespace match, not only ordinary space characters.
Sentence totals are estimated by splitting on one or more periods, question marks, or exclamation marks. Abbreviations, decimals, and URLs can produce extra segments.
Paragraphs are non-empty blocks separated by blank lines (a newline, optional whitespace, then another newline).
Yes. Lines are rows that contain non-whitespace content after splitting on newline characters. Blank lines are not counted.
Tokens stay whole when they are not broken by whitespace, so well-known and don't typically count as one word each.
Counts use JavaScript string length. Many emoji and surrogate-pair characters use more than one UTF-16 unit, so one visible symbol can increase the total by more than one.
Not as linguistic words. Text written without spaces often becomes a single word token under whitespace splitting.
Reading time is an estimate based on the tool’s fixed 200 words-per-minute assumption. Under one minute it shows seconds (minimum one second when there is at least one word); otherwise it rounds up to whole minutes.
Speaking time uses a fixed 130 words-per-minute assumption with the same seconds-or-ceil-minutes display rules. It does not model pauses or presentation style.
No. There is no keyword list, density report, or stop-word filtering—only length and structure statistics plus the preset goal bars.
No. The tool counts text and estimates time. It does not correct grammar, detect plagiarism, score readability, or rewrite content.
Yes. You can use Upload .txt or drag and drop a plain text file. The imported content replaces the current editor text.
Plain .txt / text/plain only, up to 5 MB. PDF, Word, Markdown, HTML, and rich-text documents are not accepted as uploads.
There is no hard character ceiling in the counter. Practical limits are browser memory and responsiveness for very large drafts. Uploaded .txt files are capped at 5 MB.
Counting runs locally in the browser. Typed, pasted, and imported plain-text content is not uploaded for analysis. Ordinary site requests and optional analytics metadata may still occur.
Copy text copies the editor contents. Copy stats / Copy stats summary copies a plain-text list of the main totals. There is no stats file download or CSV export.
No. Clear and Start over reset the workspace. There is no undo or restore of the previous text.
Identified events may include input method, imported file type and size, and first-success wordCount and characterCount. They do not include the raw text, pasted body, or filename.
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