Keyword Frequency Counter File: PDF & TXT Analysis

Upload a TXT or searchable PDF to count how often each word appears. The ranked table shows frequency percentages and inline bar charts, with analysis running in your browser.

Target keyword mode: Enter comma-separated terms to track specific keywords instead of listing every word in the file.
Runs locally: All analysis happens in your browser — your files never leave your device.
Inline bar charts: Each result row includes a bar that shows the word's frequency relative to the top-ranked term.
CSV export: Download results as a CSV file for use in Excel, Google Sheets, or other tools.
PDF text extraction via pdf.js: Text is extracted from searchable PDFs entirely in your browser using the pdf.js library.

📁 Upload File

📁

Drag and drop a TXT or PDF file here

or click to browse · Supports TXT and searchable PDFs

🎯 Target Keywords

e.g. optimization, content, strategy

⚙️ Options

Case-insensitive

Filter stop words

Exclude numbers

Min word length

Show top

Keyword Frequency

Total Words 0

Unique Words 0

Filtered Words 0

#	Keyword	Count	Share	Distribution

How to Use This Keyword Frequency Counter for Files

Upload your file: Drag a TXT or searchable PDF onto the upload zone, or click to browse your computer. The tool extracts the text content automatically.
Set target keywords (optional): To focus on specific terms, enter comma-separated keywords in the "Target Keywords" field. Leave it blank to analyze every word in the document.
Configure options: Enable case-insensitive matching (default), filter out common stop words like "the" and "and," exclude numbers, set a minimum word length, and choose how many results to display.
Count and export: Click "Count Keywords" to see the ranked frequency table. Use "Copy" to paste tab-separated results into a document, or "Download CSV" to save a spreadsheet-ready file.

Pro Tips

Target keywords for SEO: Enter your SEO keyword list as comma-separated targets. The tool shows each keyword's count and percentage share so you can review distribution across your content.

Set min word length to 3 or 4: This filters out short particles and prepositions even when stop words are disabled, keeping the table focused on longer terms.

Use searchable PDFs only: The tool relies on the pdf.js library to extract text. Scanned documents without a selectable text layer will cause an error. Make sure your PDF contains actual text.

Combine with the text version: For quick analysis of snippets, use the Keyword Frequency Counter — it handles pasted text with the same analysis engine.

Client-side processing: All file analysis runs in your browser. Your documents are never uploaded to any server.

FAQ

Q. How do I count keyword frequency from a file?

Drag a TXT or searchable PDF onto the upload zone, or click to browse your computer. Once the file loads, configure your options (stop-word filtering, case sensitivity, minimum word length) and click "Count Keywords." The tool displays a ranked table with each word's count, percentage share, and a visual distribution bar.

Q. What file formats are supported?

Plain-text (.txt) files and searchable (text-based) PDFs are supported. Scanned PDFs and images containing text are not supported because the tool extracts text using the browser-based pdf.js library — the file must contain selectable text. Microsoft Word (.docx) files are not supported; convert them to TXT or PDF first.

Q. Can I check keyword density for SEO using this tool?

Yes. Enter your target SEO keywords in the "Target Keywords" field as comma-separated terms, then upload your article or page export. The tool shows each keyword's count and percentage of total words so you can review keyword distribution at a glance.

Q. How do I export the results?

Click "Copy" to copy the full table as tab-separated text, ready to paste into any document. Click "Download CSV" to save a comma-separated file that opens directly in Excel, Google Sheets, or any spreadsheet application.

Q. Is my uploaded file sent to a server?

No. All processing happens in your browser. For PDF files, the pdf.js library extracts text locally on your device. Your files are never uploaded to any external server.

About the Keyword Frequency Counter for Files

Upload a TXT or text-based PDF to get a ranked frequency table showing every word's count and percentage share. The stop-word filter removes common filler terms, and the target-keyword mode lets you focus on specific words. Each result row includes an inline bar chart so you can compare frequencies at a glance.

All processing runs in your browser — the pdf.js library extracts text from PDFs locally on your device, and your files are never uploaded to any server. Copy results as tab-separated text or download them as a CSV file for Excel, Google Sheets, or other data tools.

Common tasks include checking SEO keyword density in blog posts, reviewing terminology in research papers, comparing a resume against a job description, and auditing competitor whitepapers for repeated topics.

Common Use Cases

SEO content analysis: Upload blog posts, landing pages, or article exports to check keyword density. See how often your target terms appear and compare supporting keywords across the same file.
Academic research: Analyze research papers, theses, or e-books to identify frequently used terminology. Compare unique words with total words to review vocabulary variety.
Competitor PDF analysis: Upload a competitor's whitepaper, report, or case study to see which topics and keywords appear most often. Compare their top keywords with your own content plan to spot coverage gaps.
Resume keyword optimization: Paste a job description's key terms into the Target Keywords field, then upload your resume PDF. Review which terms are missing before you revise and submit the resume.
Legal and contract review: Scan contracts, agreements, or policy documents for specific terms by entering key legal phrases as target keywords. See how often critical terms appear across the document.

Supported File Formats & Features

Supported Formats: TXT and searchable (text-based) PDF.
Target Keywords: Analyze only the specific words you provide.
Stop Word Filter: Hide common English filler words for cleaner data.
Privacy: Local processing ensures your files never leave your browser.
Export: Save results as a CSV or copy them to your clipboard.

File Type	Extension	Extraction Method	Notes
Plain Text	.txt	Direct browser FileReader API	None — full text is read as-is.
Searchable PDF	.pdf	pdf.js client-side text extraction	Must contain a selectable text layer; scanned image-only PDFs are not supported.

Tips for Best Results

Use searchable PDFs only: The tool extracts text using the pdf.js library, which requires a selectable text layer. Scanned documents or images of text will return an error. If your PDF is scanned, run it through an OCR tool first to add a text layer.
Set min word length to 3 or 4: This filters out short particles and prepositions (e.g., "a", "an", "of") even when the stop-word filter is disabled, making the table focus on longer terms.
Check keyword density for SEO: Enter your target SEO keywords in the Target Keywords field and upload your content file. The results show each keyword's count and percentage of total words.
Combine with the text-paste version: If you need to analyze short snippets or copied text rather than a full file, use the Keyword Frequency Counter — it offers the same analysis engine with a direct text input field.
Export to CSV: Download your results as a CSV file and open it in Excel or Google Sheets to create pivot tables, charts, or combine frequency data from multiple documents for comparative analysis.