Word & Character Counter

Count words, characters, sentences, and paragraphs in your text.

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Case Converter

Convert text between UPPERCASE, lowercase, Title Case, and more.

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InnoviCat Lorem

Generate placeholder text with 26 themed generators, 7 output types, and vocabulary statistics.

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Text Diff & Compare

Compare two texts side by side and highlight additions, deletions, and changes instantly.

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Frequently Asked Questions

How are words counted in different languages?
Our word counter uses Unicode-aware word boundary detection as defined by the Unicode Consortium. For languages like English, French, and German, words are separated by spaces and punctuation. For CJK languages (Chinese, Japanese, Korean), where words aren't space-separated, the tool counts characters as the standard unit of text measurement.
What is Lorem Ipsum text?
Lorem Ipsum is placeholder text derived from sections of 'de Finibus Bonorum et Malorum' by Marcus Tullius Cicero, written in 45 BC. It has been used as standard dummy text in the printing and typesetting industry since the 1500s. Our generator produces text using the original Latin source passages.
Is my text kept private?
Yes, all text processing happens entirely in your browser. No text you enter is ever sent to any server. This makes our tools safe for confidential documents, drafts, legal text, or any sensitive content you need to analyze or transform.
How is reading time estimated?
Reading time is calculated by dividing the total word count by the average adult silent reading speed, typically 200–250 words per minute — a figure supported by research from Brysbaert (2019), published in the Journal of Memory and Language. Our tool uses 200 WPM as a conservative estimate to account for varying text complexity. For example, a 1,000-word article takes approximately 5 minutes to read. This metric is widely used by publishing platforms including Medium and WordPress to help readers gauge article length at a glance.
How does the text diff tool compare texts?
The text diff tool performs a line-by-line comparison algorithm to identify additions, deletions, and modifications between two text inputs. Added lines are highlighted in green, removed lines in red, and modified lines display both the old and new versions side by side. This is the same conceptual approach used by version control systems like Git for comparing code changes. It is useful for reviewing document revisions, checking contract edits, verifying translated text against the original, or comparing configuration files across environments.