Kahubi vs NVivo
NVivo has been the reference tool for qualitative analysis for a long time. It is deep, flexible and taught in methods courses everywhere. Kahubi takes a lighter, AI-first approach to the same job: transcribe interviews in the EU, get suggested codes you confirm, and move from themes to a written findings section in one place.
What NVivo does well
Credit where it's due: these are real strengths, and for some workflows they are exactly what you need.
- Very deep coding, querying and visualisation features for qualitative data
- Mixed-methods support, with case classifications and matrices
- Widely taught, with a large body of tutorials and books
- An AI assistant in recent versions for summaries and coding help
Where Kahubi differs
Transcription in the same place, in the EU
Upload interview or focus group recordings and Kahubi transcribes them with speaker labels on European providers, in 99+ languages. No separate transcription service, no file juggling, and the transcript stays linked to the audio.
AI-suggested codes, human decisions
Kahubi suggests codes for each segment based on your framework (thematic analysis, framework analysis, grounded theory and others). You accept, rewrite or reject each one. Themes are built only from codes you confirmed, so the analysis stays yours.
From themes to a findings section
Once themes are confirmed, Kahubi drafts the findings with quotes linked back to the transcript and timestamp, in your citation style and voice. The literature for your discussion is in the same project.
Web-based from the start
Kahubi runs fully in the browser with shared projects for co-authors. Desktop NVivo needs installing on each machine, and Lumivero’s new cloud version is still rolling out.
Feature comparison
| Capability | NVivo | Kahubi |
|---|---|---|
| Chats with your full library | Partialimports literature for analysis; the new NVivo AI Cloud adds chat over project data, but no literature library chat | Yesthe agent reads, searches, and cites your whole library |
| Edits a real LaTeX manuscript (compiled to PDF) | No | YesLaTeX → PDF compile built in, plus .docx and .tex export |
| Systematic review flow with PRISMA support | Partialcan organise literature reviews; no screening flow | Yesdefine → search → screen → written review (PRISMA, MOOSE, Cochrane) |
| Statistics on your CSVs (t-tests, ANOVA, regression…) | Partialmixed-methods features; no statistical test suite | Yesfrom t-tests to PCA and Cronbach’s alpha, results land in your draft |
| Interview transcription processed in the EU | Partialseparate paid transcription service | Yesspeaker labels, 99+ languages, EU-based providers |
| Learns your writing voice from your papers | No | Yesa style profile learned from your own publications |
Last reviewed October 2026. Based on each product's public materials. Features change, so verify details on their site. Spotted something out of date? Tell us and we'll fix it.
Choose NVivo if…
You need advanced qualitative querying, mixed-methods matrices or a tool your department already teaches and licenses.
Choose Kahubi if…
You want transcription, AI-assisted coding, the literature and the written findings in one EU workspace, without desktop installs.
Kahubi pricing
Simple monthly plans, cancel anytime. A real free tier to start with, and predictable monthly cost on every paid plan.
Try Kahubi on a small project
For a single ongoing study
For active researchers
For labs and heavy users
Kahubi vs NVivo: common questions
Can Kahubi replace NVivo?
Is AI coding acceptable in qualitative research?
Where is my interview data processed?
Can I export my coded data?
Try the Kahubi side of the comparison
Sign up free, import your library in minutes, and run one real task (a screening round, an analysis, a draft) before you decide.