Basic Stats:
Words: 0
Characters: 0
Reading Time: 0 min
Tokens (GPT4): 0
Detailed Statistics:
Characters (with spaces)
0
Characters (no spaces)
0
Words
0
Sentences
0
Paragraphs
0
Reading Time
0 min
GPT-4 Tokens
0
Claude Tokens
0
Enter Your Text
Type or paste your text into the text area.
View Statistics
The word counter will automatically update with real-time statistics as you type.
Customize & Analyze
Select your language and AI token model for more accurate estimates. Use the chart for a visual overview.
Manage Text
Use the buttons to copy, clear, download, or upload text files.
Comprehensive Text Statistics
Get instant counts for words, characters (with/without spaces), sentences, and paragraphs.
AI Token Estimation
Estimate token counts for popular AI models like GPT-4 and Claude, useful for large language model applications.
Reading Time Calculation
Quickly determine the estimated reading time of your text based on average reading speeds.
File Upload & Download
Easily upload text files (.txt, .md, .rtf) for analysis and download your text content.
A word counter is an online tool that provides various statistics about a given text. It helps users quickly determine the number of words, characters, sentences, and paragraphs, as well as estimate reading time and AI token counts. It's useful for writers, students, SEO specialists, and anyone needing to analyze text length and complexity.
Instant & Accurate
Get real-time, precise statistics as you type or paste your text.
AI Token Estimation
Unique feature to estimate token counts for popular AI models, aiding in content creation for LLMs.
User-Friendly Interface
Clean, intuitive design makes text analysis simple and efficient.
Privacy-Focused
All text processing happens locally in your browser; your text is never sent to our servers.
It provides counts for words, characters (with and without spaces), sentences, paragraphs, estimated reading time, and AI token estimates for GPT-4 and Claude models.
The token estimates are based on average character-to-token ratios for different languages and models. They are approximations and may vary slightly from actual tokenizers but provide a good general idea.
Yes, you can upload .txt, .md (Markdown), and .rtf (Rich Text Format) files directly into the tool for analysis.
Absolutely. All text processing is done client-side in your browser. Your text is never uploaded to any server, ensuring complete privacy and security.