Blog draft
Paste a 700-word guide about refund policy and shipping delaysRepeated phrases such as "refund policy" and "shipping delay"
Find repeated topic words and short phrases in pasted drafts, class notes, product copy, or support notes without sending text to Access Free Tools.
Find repeated words and phrases in pasted text.
Run the tool to keep a short in-tab history. Nothing is saved to an account.
Keyword extraction is local text analysis. No model or server upload is required.
This tool uses count-based browser analysis, not search-volume data.
No upload to Access Free Tools. No account needed.

Find repeated topics in a 700-word blog draft before writing a title.
Check whether product copy mentions the same feature names customers use.
Pull vocabulary from class notes before making flashcards.
Spot accidental repetition in a support article or FAQ.
Repeated phrases such as "refund policy" and "shipping delay"
Topic list with counts for battery, charging, and warranty
Main vocabulary such as chlorophyll, sunlight, and carbon dioxide
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Answers about this tool's inputs, browser processing, files loaded on first use, result limits, and privacy.
Use it when you want a quick browser-side AI helper for this task: Find repeated topics in a 700-word blog draft before writing a title. Check whether product copy mentions the same feature names customers use. It is best for drafts, checks, and learning, not final expert decisions.
Paste 80 to 1,500 words when possible: a draft section, study notes, product copy, meeting notes, or a support reply. The tool lowercases the text, removes common filler words, counts repeated terms, and highlights short phrases that appear more than once.
Read the list as a map of repeated topics. A "refund policy" count of 5 means that pair occurs five times after filtering. Removed words and punctuation can join tokens, so check the original draft before treating a pair as a verbatim phrase. Counts do not measure search demand.
Check intent, reader language, brand names, duplicate variants, and missing terms before using a keyword list in a title, blog, or product page. Merge close forms such as cost and costs manually.
Keyword extraction counts words and filtered neighboring token pairs in this browser tab without uploading the text to Access Free Tools for analysis. It uses no AI model or model host. See the Privacy Policy for separate site analytics and session-replay handling.
Keyword extraction needs no model or OCR download. The browser counts the pasted text after Extract keywords. If no words or pairs repeat after filtering, the lists report that no repeated terms were found.
No. Treat it as a helpful estimate or draft. AI and text-analysis tools can misunderstand short inputs, blurry images, unusual wording, mixed languages, or topics outside their training data.