thematicanalysis.ai - 2026 Pricing, Features, Reviews & Alternatives

thematicanalysis.ai is a browser-based AI thematic analysis tool for qualitative research. It codes interview transcripts, focus group transcripts, open-ended survey responses and published studies, then builds named themes with a verbatim quote behind every code.

Inputs

- Upload Word (.docx), PDF, TXT and VTT transcripts, CSV or Excel (.xlsx) survey exports from Google Forms, SurveyMonkey or Qualtrics, or paste text.

- Files holding several participants are split into one card per participant, with a check step to confirm speakers before the run. Repeated participant IDs across survey rows are merged.

- Two modes: primary research (participant by participant) and literature review (study by study, keeping methods, findings, discussion and conclusion sections).

Analysis

- Frameworks: reflexive thematic analysis (Braun & Clarke, default), thematic synthesis (Thomas & Harden), framework analysis, grounded theory, qualitative content analysis, and deductive coding with your own codebook.

- Every quote is checked against the uploaded text, and interviewer turns are masked so quotes come from participants.

- Focus groups: each speaker's stance (raises, endorses, challenges) is coded, with group-level evidence.

- Analysis can be written in 13 languages; quotes stay verbatim in the participants' language.

- A typical run takes under five minutes.

Review and control

- Rename, merge or reject codes and themes; your edits are kept beside the AI original.

- A source reader shows every quote in its original context.

Exports

- Word report (.docx), Excel tables (.xlsx), Word-ready theme matrix, thematic map (300 DPI PNG and SVG), and a .qdpx project file, the exchange format NVivo, ATLAS.ti and MAXQDA import.

Advanced tools (Advanced Project Pass)

- Literature reviews: Research Gap Finder and theory extractor. Primary data: demographics table, theme comparison by participant group and code saturation curve. Both: Ask Your Data chat.

Security and data handling

- No account or login. Text is sent to the OpenAI API for analysis and returned; no copy is kept in a database or log, and data is not used to train AI models. Results stay in your browser.

- Removing names and other identifiers before upload is still recommended.

Integrations

- No direct app integrations. Works with other QDA software through .qdpx export, and with Word and Excel through file exports.

Pricing

- Free: 3 participants or sources per analysis, 2 runs a month, no card. Thesis Sprint Pass: $9 for 30 days, up to 20 sources per analysis. Advanced Project Pass: $15 for 30 days, up to 50 sources per analysis plus the Advanced tools. No subscription.