QualiTaTi vs NVivo: free AI interviews with a direct NVivo export
QualiTaTi: Universities and research firms seeking self-serve text or voice interviews and researcher-controlled coding. NVivo: Desktop qualitative analysis with hierarchical codebooks, cases, memos, matrices and queries, plus an AI Assistant; NVivo AI Cloud launched in September 2026.
Choose by study workflow, evidence access, and total cost. There is no universal winner. NVivo: Opens REFI-QDA projects, so interviews collected in QualiTaTi can be coded in NVivo.
Published by QualiTaTi, one of the vendors compared. This is a dated review of public product documentation, not independent testing. Vendor descriptions are advertised capabilities; missing information is not evidence that a feature is absent.
Qualitati is best for
Universities and research firms seeking self-serve text or voice interviews and researcher-controlled coding.
NVivo is best for
Desktop qualitative analysis with hierarchical codebooks, cases, memos, matrices and queries, plus an AI Assistant; NVivo AI Cloud launched in September 2026.
Qualitati vs NVivo: feature-by-feature
| Feature | Qualitati | NVivo |
|---|---|---|
| Interviews with participants | AI-moderated text and voice interviews, and live AI-moderated focus groups with real participants, shared by link. | Analyses data you bring: documents, transcripts, audio and video. The vendor material reviewed does not describe interviewing participants. |
| Analysis | QDA Workspace with manual and AI-assisted coding, codebook management and source-linked references. | Hierarchical codebooks, cases and classifications, matrices and queries; AI Assistant summaries and code suggestions. NVivo AI Cloud adds AI agents for project setup and codebooks. |
| Coder agreement | Optional dual-AI coding reports Cohen's kappa between two AI coders; for agreement between human coders, export to your QDA tool. | The coding comparison query reports Cohen's kappa and percentage agreement between coders. |
| Working together | REFI-QDA (.qdpx) export of transcripts, codebook, cases and coded segments since 9 October 2026, with a step-by-step guide for opening it in NVivo. | Opens REFI-QDA projects (File > Open, file type REFI-QDA Project) and converts them into NVivo projects. |
| Price | Free: 30 credits every month. Student €9, Researchers €19, Team €99 per month (up to 15 seats). Text interviews use 1 credit per minute, voice interviews 5. Exports are free. | Licence prices depend on country and user type (student, academic, commercial); AI, transcription and collaboration options vary by bundle. |
| Platform and data | Runs in the browser. Data stored in the EU (Amsterdam). Global AI is the default and includes US providers under Standard Contractual Clauses; EU Assurance keeps AI processing in the EU on every plan. Public DPA. | Desktop projects on Windows and Mac, with a separate cloud offer (NVivo AI Cloud) whose storage and processing should be checked separately. |
| Evidence and exports Checked: qualitati.com/accuracy | Run the same pilot in both tools. Check transcript fidelity, source references, editable codes, and export completeness; these have not been benchmarked here. | Run the same pilot in both tools. Check transcript fidelity, source references, editable codes, and export completeness; these have not been benchmarked here. |
Choose Qualitati when…
You need to collect interviews or focus groups with participants and get clean transcripts to analyse.
You want to start coding in the browser and continue in NVivo when the study needs it.
Choose NVivo when…
Your institution licenses NVivo and your team already codes in it.
You need matrix queries, classifications and formal coding comparison across coders.
Frequently asked questions
Global pricing: 30 free credits each month, non-cumulative. Team: €99/month or €990/year, up to 15 seats and 9,000 shared monthly credits. Add software, recruitment, participant incentives, analysis usage, seats, exports, taxes, and billing period. Request a written quote for anything not included in the published plan.
Run the same pilot in both tools. Check transcript fidelity, source references, editable codes, and export completeness; these have not been benchmarked here. Review the privacy policy, DPA, subprocessors, retention, deletion, and data residency for your study. A feature listing does not establish certification or compliance.
Sources and review basis
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