Keywords From Text
Extract both single keywords and repeated phrases from pasted text.
Options
Results appear here. Everything is processed in your browser — nothing you type is sent anywhere.
What the Keywords From Text does
Keywords From Text runs two analyses on the same input: a single-word frequency pass and a repeated-phrase pass, so you see both the vocabulary and the recurring expressions.
How it works
Phrases are counted only within sentence boundaries, and any window containing a stop word or a very short token is skipped, which keeps output readable rather than full of fragments.
- 1Paste your text.
- 2Choose the phrase length — two words is the most useful default.
- 3Set a per-group limit.
- 4Generate both groups.
- 5Copy the phrase group into your tag planning.
Worked example
An article about remote work returns 'remote', 'team', 'hours' as words and 'remote team', 'working hours' as phrases.
Who uses it
- Turning a finished article into a tag set
- Finding the phrases you unconsciously repeat
- Building a glossary from documentation
- Extracting anchors for internal linking
Best practices
- Use longer text — phrase detection needs repetition.
- Try three-word phrases on long-form content.
- Remove brand names from output if they are not tags.
- Follow with the Hashtag Generator to convert phrases.
Honest limitations
Phrases must repeat at least twice to appear, so a one-off but important phrase will be missed. No external corpus is consulted.
Frequently asked questions
- Why are some obvious phrases missing?
- A phrase must occur twice within sentence boundaries to be counted.
- Are stop words removed?
- Yes, both from single words and from phrase windows.
- What is the ideal input length?
- Three hundred words or more gives dependable phrase output.