Blog draft
Paste a 700-word guide about refund policy and shipping delaysRepeated phrases such as "refund policy" and "shipping delay"
Keyword Extractor
Find repeated topic words and short phrases in pasted drafts, class notes, product copy, or support notes without sending text to Access Free Tools.
Browser-only input No upload to Access Free Tools Lazy model loading Copy after checking
Browser-only AI
Keyword Extractor
Find repeated words and phrases in pasted text.
How to use the Keyword Extractor
- Enter text or choose an image for the AI task.
- Press the main action button so the browser can load any needed model or language files.
- Read the label, score, notes, and limits before copying anything important.
- Check the original text or image yourself because browser AI output can still be wrong.
What people use it for
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.
Quick examples
Product notes
Paste product copy with battery life, charging time, and warranty notesTopic list with counts for battery, charging, and warranty
Class notes
Paste 250 words about photosynthesis and chlorophyllMain vocabulary such as chlorophyll, sunlight, and carbon dioxide
Need the guide or a nearby tool?
Need a slower walkthrough, a related tool, or the full library? These links keep you close to the task you started.
- How to use the Keyword Extractor See slower examples, input meanings, formula notes, result limits, and mistakes to avoid.
- AI Tools Browse related calculators and utilities in the same category.
- Browser AI Tools Hub Compare this with the nearby tools and checks in the same job path.
- Tool and utility guides Find more guides that use real tool inputs, examples, mistakes, and result notes.
- All free tools Search every live tool, converter, calculator, AI helper, and browser utility.
Frequently asked questions
Plain-language answers about browser-only models, privacy, confidence limits, common mistakes, and when to double-check AI output.
When should I use the Keyword Extractor?
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.
What do the main Keyword Extractor inputs mean?
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.
How should I read the Keyword Extractor result?
Read the list as a map of what the text talks about. A phrase like "refund policy" appearing 5 times means the draft repeats that phrase; it does not mean people search for it or that it should be stuffed into a title.
What should I double-check before trusting the Keyword Extractor?
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.
Does this AI tool upload my input to Access Free Tools?
No. The tool runs in your browser tab. Your text or image is not uploaded to Access Free Tools. OCR plus the first text model are served from Access Free Tools after you click the button; some experimental model tools may still download model files from a third-party model host until we self-host more models.
Why can the first run take longer than normal?
The first run may need to download model, OCR, or language data into the browser. After that, the browser can often reuse cached files, but speed still depends on your device, browser, and internet connection.
Can I rely on the AI result as a final answer?
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.