undergrad + postgrad
Dissertations & theses
Synthesise the findings of your literature review into themes with an audit trail your supervisor can check — codes, quotes, and a named framework.
Free for 3 studies — no signup
Paste your studies. Watch the themes emerge.
The thematic analysis tool for students, researchers, and lecturers. Paste the findings of 3–15 studies, choose your framework — Braun & Clarke, thematic synthesis, grounded theory, and more — and watch codes form and cluster into themes you can defend, with a verbatim quote behind every one.
How it works
From a pile of findings to named themes in minutes
01
Paste your studies' findings
One box per study: paste the findings or results section and label it with a short citation. Three studies minimum, fifteen maximum — the first three are always free.
- Smith et al. (2021)
- Bergström et al. (2023)
- Chen & Okafor (2022)
02
The engine runs your framework
Choose Braun & Clarke, Thomas & Harden thematic synthesis, framework analysis, grounded theory, or content analysis. Each study is coded first, then codes are clustered across studies — and you watch it happen, bubble by bubble.
- ① Familiarisation
- ② Initial codes
- ③ Searching for themes
- ④ Reviewing → ⑤ Naming → ⑥ Report
03
Get a report you can defend
Named themes with definitions, analytic narratives that cite your studies, every code backed by a verbatim quote, plus a synthesis summary and limitations note. Download as a Word document and drop it into your write-up.
- Themes + definitions
- Verbatim quotes per code
- Summary + limitations
Who it's for
Built for the university workflow
If your work involves making sense of findings across studies, this engine does the first pass — you do the thinking.
evidence synthesis
Systematic reviews & meta-synthesis
Run a Thomas & Harden thematic synthesis across included studies and export descriptive-to-analytical themes for your review paper.
any discipline
Literature reviews
Stop summarising paper by paper. See what your fifteen sources say together — where they converge, and where they contradict.
lecturers
Teaching qualitative methods
Show a class the whole coding-to-themes journey live in one seminar, then have students critique and refine the machine's codes.
researchers
Grant & ethics applications
Build a quick evidence map of prior findings to justify your study — with quotes ready to cite in the background section.
public sector
Policy & practice briefs
Turn a stack of report findings into themed, quotable evidence summaries for decision-makers in an afternoon.
The honest question
“Couldn't I just ask a chatbot?”
You could — and you'd get a fluent summary you cannot cite, check, or defend. Markers and reviewers ask how you got your themes. This tool answers that question: a named framework, study-by-study coding, and a verbatim quote behind every code.
| What you need | Generic chatbot | thematicanalysis.ai |
|---|---|---|
| Named methodology | “I asked ChatGPT to find themes” — hard to defend in a viva | Braun & Clarke, Thomas & Harden, and more — cited in the report |
| Evidence trail | Fluent summary, no quotes, no way to check a claim | Every code carries a verbatim quote from a named study |
| Study-level coding | Everything blended into one answer | Each study coded separately, then synthesised across studies |
| Structure | Different format every time you ask | Themes → definitions → narratives → codes, identical every run |
| Seeing the analysis | A wall of text | Watch codes appear and cluster into themes, live |
| Write-up ready | Copy-paste and reformat by hand | One-click Markdown report with summary and limitations |
Pricing
Pay per study, not per subscription
No accounts, no monthly plans, no student-budget ambush. Your first 3 studies in every analysis are free; add more only when you need them.
First 3 studies
Free
- Every framework included
- Full report with quotes & export
- No signup, no card
Extra studies (up to 15)
$0.50 / study (≈50p)
- Pay as you go — per analysis, no lock-in
- Same full report, more evidence
- Checkout launching soon — free tier is live today
Your first three studies are on us
Paste your findings, pick a framework, and watch your themes take shape — before your coffee goes cold.
Start your free analysisFAQ
Frequently asked questions
The findings or results section of each study — the part that reports what was found. You don't need the whole paper: skip the abstract, methods, and references. Paste one study per box and label it with a short citation like “Smith et al. (2021)”. Interview transcripts or report extracts work too; treat each one as a study.
Five: Reflexive Thematic Analysis (Braun & Clarke) — the default and the most widely taught; Thematic Synthesis (Thomas & Harden) for systematic-review style syntheses; Framework Analysis (Ritchie & Spencer); Grounded Theory with constant comparison; and Qualitative Content Analysis. The engine follows the phases and terminology of whichever you pick, and the report names the method so you can cite it.
The first 3 studies of every analysis are free — no signup, no card. Each additional study costs $0.50 (about 50p), up to a maximum of 15 studies per analysis. Pay-as-you-go checkout is launching soon; until it arrives, analyses are capped at the 3 free studies.
Yes — as an AI-assisted first pass, not a replacement for your judgement. Review every code against its quote, rename themes to fit your research question, and follow your institution's or journal's policy on disclosing AI assistance. The report includes a limitations note that says exactly this.
Every code carries a verbatim quote copied from the text you pasted, and every theme lists the studies and codes behind it — so each claim is checkable in seconds. The engine is instructed never to paraphrase or invent quotes, and anything you can't verify against your own sources, you should cut. That audit trail is the difference between this and asking a chatbot.
Your text is processed to produce your results and is not stored on our servers — analyses live in your browser session and disappear when you leave (so export your report before closing the tab). Text is sent to OpenAI's API for analysis, which does not use API data to train models.
No. Open the tool, paste your studies, run the analysis, download the report. Nothing to sign up for, nothing to cancel.
At least 3 — below that, cross-study themes aren't meaningful — and at most 15 per analysis. If you have more than 15 sources, run them in batches by sub-topic and merge the themes in your write-up, or start with your 15 most central studies.