PDF Word Counter Count words, characters, and analyze text content in PDFs.
Word Count in PDF
Count words, characters, and analyze text content in PDFs.
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Words, characters, and stats are calculated instantly.
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See detailed stats including top word frequencies.
What Is Word Count in PDF?
A Word Count in PDF is a feature that extracts and analyzes the text content of PDF documents to provide detailed statistics about the text. It is commonly used by writers, students, and researchers who need to verify the length of their manuscripts or essays, as well as anyone requiring document text statistics for pdf word counter purposes. One specific problem it solves is providing an accurate count of words in a PDF, which can be challenging due to the format's complexity, making it difficult to count words in pdf without specialized tools.
The tool uses advanced text extraction techniques, such as pulling selectable text from all pages using the pdfjs-dist library, to ensure accuracy. What makes this tool different is its ability to not only provide a total word count but also break down the statistics into characters with and without spaces, lines, pages, average words per page, unique word count, and even an estimated reading time based on 250 words per minute. It also includes features like pdf text analysis to identify the top 10 most frequent words in the document and displays them in a visual bar chart.
It calculates these statistics by first extracting all the text from the PDF pages and then processing it to extract individual words, lines, and characters. The word frequency is calculated by iterating over each word, converting it to lowercase, removing non-alphanumeric characters, and then counting the occurrences of each unique word. This level of detail makes it a valuable resource for anyone needing to analyze pdf character count or understand how to count words in pdf documents accurately.
Why Use Word Count in PDF?
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Full text statistics at a glance
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Top 10 word frequency analysis with charts
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Estimated reading time calculation
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Unique word count for vocabulary analysis
Common Use Cases
Academic
Verify essay and thesis word counts.
Publishing
Check manuscript length and text density.
SEO
Analyze content length for optimization.
Translation
Estimate translation workload from word count.
Technical Guide
The tool works by utilizing the pdfjs-dist library to extract text content from each PDF page. This process involves importing the library and setting up a worker source, which allows for asynchronous processing of the PDF document. Once the PDF is loaded, it iterates over each page, extracting the text content using the getPage and getTextContent methods. The extracted text items are then concatenated with spaces to form a single string, which is analyzed further to extract individual words, lines, and characters.
The word count calculation involves splitting the concatenated string on whitespace characters, followed by filtering out empty strings. This approach ensures that only non-empty words are counted. Character counts are calculated with and without whitespace variants, using methods like length and replace to exclude or include spaces as needed. Unique words are counted after converting each word to lowercase and removing non-alphanumeric characters using regular expressions.
To calculate word frequency, a map data structure is used to store the count of each unique word. The entries in this map are then sorted in descending order based on their counts, allowing for the top-10 most frequent words to be displayed. The reading time estimate is calculated by dividing the total word count by 250, which is assumed to be the average number of words a person can read per minute. This calculation provides a rough estimate of how long it would take to read the entire document.
The tool also uses React state management features like useState and useCallback to manage the application's state and handle user interactions. The FileDropzone component is used to handle file uploads, while the glass-card and glass-button components provide a visually appealing interface for displaying statistics and interacting with the tool. By leveraging these technologies and algorithms, the tool provides accurate and detailed statistics about the text content of PDF documents.
Tips & Best Practices
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1Scanned PDFs without OCR will show zero words
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2Reading time assumes 250 words per minute
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3Unique word count excludes single-character words
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4Frequency analysis ignores case and punctuation
Related Tools
Frequently Asked Questions
Q Why does it show zero words?
Q How accurate is the word count?
Q Does it count headers and footers?
Q What is the reading time based on?
Q Can I export the statistics?
About This Tool
Word Count in PDF is a free online tool by FreeToolkit.ai. All processing happens directly in your browser — your data never leaves your device. No registration or installation required.