Paste interview excerpts, open-ended survey responses, or any text. Get word frequencies, recurring phrases, and candidate themes. Everything runs in your browser; nothing is uploaded or stored.
The most repeated content words and phrases. Treat these as starting points for coding, not as findings.
Counting words is not analyzing them. Wherever you want to go next, ReliCheck has the step:
The analyzer tokenizes your text and counts three things: individual words (with common function words like "the" and "of" ignored by default), recurring two and three word phrases, and basic corpus statistics such as total words, unique words, and lexical diversity.
Word frequency is a legitimate first look at open-ended data. If forty students answer "What was hardest about this course?" and "time" appears in half the responses, you know where to read closely. The frequency table tells you where to look; it cannot tell you what people meant.
A theme is an interpreted pattern of meaning, not a popular word. Two responses can share a theme without sharing vocabulary, and the same word can carry opposite meanings in different responses. That is why the panel below the phrase list is labeled candidate themes: the repeated language is evidence that something may be there, and reading the passages is how you find out what.
When your project needs real coding, memos, and theme development, that is qualitative analysis software territory. ReliCheck MM Studio handles it alongside your quantitative data.
Everything on this page runs locally in your browser. Your text never leaves your computer, which matters when you are working with interview data covered by an IRB protocol.