Buyer's guide

Qualitative Data Analysis Software: 10 Tools Compared

Prices, free options, AI features and who each tool suits. Prices checked 2 November 2026.

Qualitative data analysis (QDA) software helps you organise, code and interpret interviews, focus groups, open-ended survey responses and documents. Choosing one is harder than it should be: the established tools are powerful but expensive and slow to learn, the free ones are basic, and a wave of AI tools promise speed without always showing how they reached their answers.

This guide compares ten tools researchers actually use, from NVivo to free, open-source options. We make one of them, QualIntel OS, so we have tried to be fair: each entry says who the tool suits and what to watch out for, and every price links back to the vendor so you can check it.

The short answer

Your university provides a licence: start with what you have. NVivo, ATLAS.ti or MAXQDA, often free through your library or IT service.
You have no budget: Taguette for simple tagging, or QualCoder for a fuller free toolkit.
You want the cheapest paid option: Quirkos, about US$60 a year for students or a US$69 lifetime offline licence.
You are working in a team, in the browser: Dedoose or Delve.
You are analysing customer or user interviews for a product team: Dovetail.
You are using AI on a thesis and need to defend it: QualIntel OS, which records every AI suggestion and your decision on it.

Comparison table

Tool	Runs on	Price	Free option	AI	Best for
NVivo	Desktop (Windows, Mac)	Student licence about US$118–130 for 12 months	Free trial; often free through universities	AI Assistant for summaries and code suggestions	Large or mixed-media projects, especially if your university provides it
ATLAS.ti	Desktop (Windows, Mac) and web	Student licences for 6 or 12 months; price varies by region	Free trial; some universities provide it	AI coding and conversational AI built in	Researchers who want a full-featured tool with AI built in
MAXQDA	Desktop (Windows, Mac)	Student licences for 6 or 12 months; price varies by region	Free trial; some universities provide it	AI Assist add-on (basic tier free, Premium is a paid subscription)	Mixed-methods projects and visual analysis
Dedoose	Web browser	US$12.95 per active month (students), US$17.95 (individuals)	30-day free trial	Not a focus of its plans	Mixed-methods teams who want to pay only for months they use it
Delve	Web browser	About US$18 a month on its education plan	Free trial	AI-assisted coding and an AI chat	Beginners and small teams doing thematic analysis
Quirkos	Desktop (Windows, Mac, Linux) and web	About US$60 a year for students; lifetime offline licence US$69	Free trial	None by design (offers automated transcription)	Beginners, small budgets, and researchers who would rather not use AI
Taguette	Web browser (hosted or self-hosted)	Free	Free and open-source	None	Simple coding on a zero budget
QualCoder	Desktop (Windows, Mac, Linux)	Free	Free and open-source	Check the current release	Researchers who need more than Taguette but have no budget
Dovetail	Web browser	Free plan; paid plans priced on request	Free plan (one project)	AI summaries, clustering and chat	Product and UX research teams analysing customer interviews
QualIntel OS	Web browser	Project Pass US$39 (90 days); Thesis Pass US$89 (12 months); one-time, no subscription	Free plan: up to 5 transcripts, with AI coding on 3	AI surfaces evidence; you accept or reject every suggestion	A thesis or study that uses AI and has to show examiners how every decision was made

Prices are in US dollars, checked 2 November 2026, and change often; many vendors price differently by region and offer education discounts. ATLAS.ti and MAXQDA set student prices by region, so check their sites for yours.

The tools, one by one

NVivo

Desktop (Windows, Mac) · Student licence about US$118–130 for 12 months

NVivo, from Lumivero, is the most widely taught qualitative data analysis software and the one many supervisors and methods courses assume you will use. It handles interviews, focus groups, surveys, PDFs, images, audio and video, and has deep querying, matrix coding and visualisation tools that have built up over decades.

Its newer AI Assistant can summarise documents and suggest codes. The main barrier for self-funded students is cost; the main barrier for everyone is the learning curve, which is real but well supported by university training sessions and online tutorials.

Best for: Large or mixed-media projects, especially if your university provides it.

Watch out for: Check whether your university already has a site licence before you buy: many give NVivo to students and staff free.

Check current NVivo pricing · QualIntel OS vs NVivo

ATLAS.ti

Desktop (Windows, Mac) and web · Student licences for 6 or 12 months; price varies by region

ATLAS.ti is a full-featured QDA package with a strong network view for mapping how codes and concepts relate, which suits grounded theory and other theory-building work. Student licences cover both the desktop and web versions, which makes it easy to move between machines.

ATLAS.ti has leaned hard into AI, with automated coding suggestions and a chat interface over your documents. If you use those features for a thesis, plan how you will document and justify what the AI did, because your examiners will ask.

Best for: Researchers who want a full-featured tool with AI built in.

Watch out for: Its prices have risen noticeably in recent years, so compare the current student price with the alternatives.

Check current ATLAS.ti pricing · QualIntel OS vs ATLAS.ti

MAXQDA

Desktop (Windows, Mac) · Student licences for 6 or 12 months; price varies by region

MAXQDA is the third of the established desktop suites and a favourite for mixed-methods research, with built-in statistics, survey-data handling and a wide range of visual tools. Many users find its interface the most approachable of the three.

Its AI features come through the AI Assist add-on. A basic tier is free; the Premium tier, which most researchers would need for serious AI-assisted coding, is a separate paid subscription.

Best for: Mixed-methods projects and visual analysis.

Watch out for: Budget for AI Assist Premium on top of the licence if you plan to use AI.

Check current MAXQDA pricing · QualIntel OS vs MAXQDA

Dedoose

Web browser · US$12.95 per active month (students), US$17.95 (individuals)

Dedoose is a browser-based tool built for mixed-methods and team research. Its pricing is unusual: you pay only for the months in which you actually log in, which suits projects that run in bursts. Team members can code the same data, and it has tools for checking agreement between coders.

It covers the core qualitative workflow (coding, excerpts, descriptors and charts) without the depth of the desktop suites.

Best for: Mixed-methods teams who want to pay only for months they use it.

Watch out for: Monthly pricing adds up over a long thesis if you log in most months.

Check current Dedoose pricing · QualIntel OS vs Dedoose

Delve

Web browser · About US$18 a month on its education plan

Delve is a simple, browser-based tool designed to be easy to learn, with a clean coding interface and good teaching material on qualitative methods. It has added AI-assisted coding and an AI chat that it describes as a sounding board for your interpretations.

It is a good fit if you want something lighter than NVivo and plan to code mainly text.

Best for: Beginners and small teams doing thematic analysis.

Watch out for: As a monthly subscription, the total cost depends on how long your project runs.

Check current Delve pricing · QualIntel OS vs Delve

Quirkos

Desktop (Windows, Mac, Linux) and web · About US$60 a year for students; lifetime offline licence US$69

Quirkos is built for simplicity: codes appear as bubbles that grow as you code more text to them, which many first-time researchers find intuitive. It is one of the cheapest paid options, and the one-off lifetime offline licence is rare in this market.

Quirkos deliberately avoids AI analysis, which some researchers and ethics committees will see as a strength.

Best for: Beginners, small budgets, and researchers who would rather not use AI.

Watch out for: It has fewer advanced querying and reporting features than the big desktop suites.

Check current Quirkos pricing

Taguette

Web browser (hosted or self-hosted) · Free

Taguette is a free, open-source tool for highlighting and tagging text. You can use the hosted version or run it yourself, and you can export your tags and highlights in standard formats.

It focuses on tagging and does it well, which is exactly what some small projects need.

Best for: Simple coding on a zero budget.

Watch out for: You won't find the memo, query and visualisation tools of the larger packages.

Check current Taguette pricing

QualCoder

Desktop (Windows, Mac, Linux) · Free

QualCoder is a free, open-source desktop application that codes text, images, audio and video, with case management, memos and reports. It is maintained by a small community, so it moves at a slower pace than commercial tools.

For a free tool it is remarkably capable, and a good choice if your university does not provide a commercial licence.

Best for: Researchers who need more than Taguette but have no budget.

Watch out for: Installation and updates take a little more effort than a commercial product.

Check current QualCoder pricing

Dovetail

Web browser · Free plan; paid plans priced on request

Dovetail is a research repository built for product teams: it is excellent at turning many customer interviews into shareable insights, with strong AI summaries and clustering.

It is not built around academic methodology, so it does less to help you document an analysis for a methods chapter or an examiner.

Best for: Product and UX research teams analysing customer interviews.

Watch out for: Its strengths are speed and sharing, not methodological transparency.

Check current Dovetail pricing · QualIntel OS vs Dovetail

QualIntel OS

Web browser · Project Pass US$39 (90 days); Thesis Pass US$89 (12 months); one-time, no subscription

QualIntel OS is the tool we make, so weigh this entry accordingly. It is AI-assisted qualitative data analysis software built for academic research: the AI surfaces candidate evidence and suggests codes, and you confirm or reject every one. Nothing is coded automatically. Every decision, rename and merge is recorded in an audit trail, and you can export an evidence pack and an AI-disclosure statement for your methods chapter.

It has methodology modes for reflexive thematic analysis, grounded theory, IPA, the Gioia methodology, codebook thematic analysis, content analysis and template analysis, and it charges once per study rather than monthly.

Best for: A thesis or study that uses AI and has to show examiners how every decision was made.

Watch out for: It is newer and less established than the big three, and it works with transcripts and documents rather than coding video or images.

See pricing

Free qualitative data analysis software

If you have no budget, you still have good options. In order of what to try first:

Your university's licence: many universities license NVivo, ATLAS.ti or MAXQDA for every student and staff member. Ask your library or IT service before you pay for anything.
QualCoder: the most capable free tool: a desktop app that codes text, images, audio and video, with memos and reports.
Taguette: the simplest free tool: highlight and tag text in the browser, then export.
Free plans: Dovetail's free plan covers one project; QualIntel OS's free plan covers up to five transcripts, with AI coding on three.
Free trials: most paid tools offer one, which is enough to test a tool on a few of your own transcripts before you commit.

How to choose

Answer these six questions and the shortlist usually picks itself.

What does your university provide?: a free licence is hard to beat, and your supervisor probably knows that tool.
What is your methodology?: reflexive thematic analysis needs freedom from a fixed codebook; codebook approaches and team projects benefit from inter-coder tools; grounded theory benefits from memos and ways to map relationships between concepts.
Are you working alone or in a team?: browser-based tools make sharing simple; desktop tools often need a paid collaboration add-on.
Will you use AI, and does your institution allow it?: if yes, choose a tool that records what the AI suggested and what you decided, so you can write an honest AI-disclosure statement.
How long will your project run?: monthly subscriptions suit short projects; one-off or annual licences suit a multi-year thesis.
Where will your data live?: check where each tool stores data and whether it uses your data to train AI models, especially if your ethics approval restricts either.

Types of qualitative data analysis software

Established desktop QDA software: NVivo, ATLAS.ti and MAXQDA. Full-featured and widely taught, with long-standing manual coding workflows; all three have added AI features. Licences are the most expensive, though many universities provide them.
Cloud and collaborative tools: for example Dedoose and Delve. Browser-based, easier for teams to share, usually on monthly subscriptions.
Free and open-source tools: for example Taguette and QualCoder. Free to use and good for straightforward coding, with fewer analysis and reporting features.
AI-assisted tools: product-research tools such as Dovetail focus on speed and sharing; research tools such as QualIntel OS keep the researcher confirming each decision and record an audit trail for examiners.

Qualitative coding software: the features that matter

Coding is where most of your time goes, so check how a tool handles it before you commit a thesis to it. Look for:

A codebook with definitions: each code has a name, a definition and inclusion rules you can export for your appendix.
Hierarchy and grouping: codes can be organised into categories or candidate themes, and regrouped as your analysis develops.
Retrieval: one click shows every extract coded to a code, across all transcripts, with the participant and location.
Merge, split and rename with history: codes change as you analyse; the tool should record those changes rather than overwrite them.
Memos: space to write analytic notes attached to codes, extracts and themes.
Fit with your method: inter-coder comparison if your approach needs agreement measures; freedom from a fixed codebook if you are doing reflexive thematic analysis.
Clean export: codes, extracts and the audit trail out in formats your supervisor can open.

Doing thematic analysis? See thematic analysis software for what matters for that method specifically, or start with how to do thematic analysis. Building theory? Read the grounded theory guide.

What to look for as a PhD or postgraduate researcher

Interpretive control. The software should keep you, not the AI, making every coding and theming decision.
A defensible audit trail. A record an examiner can review to see exactly how you reached your interpretations.
AI-disclosure support. If AI assists your analysis, the software should help you document this clearly rather than leave you to reconstruct it afterwards.
Methodology fit. Guidance and reporting that adapt to your methodology (reflexive TA, grounded theory, IPA and so on), not one generic workflow.
Cost and learning curve relative to your project. A single-thesis project rarely needs the full feature set, or price, of enterprise team software.

A tool that is fast but leaves no defensible record is a liability, not a time-saver. See audit trails in qualitative research and our note on using ChatGPT for qualitative analysis.

By methodology

Reflexive Thematic Analysis →Grounded Theory →Interpretative Phenomenological Analysis (IPA) →Gioia Methodology →Codebook Thematic Analysis →Content Analysis →Template Analysis →

Frequently asked questions

What is the best qualitative data analysis software?

There is no single best tool; it depends on your project. NVivo, ATLAS.ti and MAXQDA are the established, full-featured options and are often free through universities. Dedoose and Delve suit teams that want to work in the browser. Quirkos is the cheapest paid option, and Taguette and QualCoder are free and open-source. For a thesis where you use AI and need to show examiners how every decision was made, an AI-assisted tool with an audit trail, such as QualIntel OS, is built for that job.

Is there free qualitative data analysis software?

Yes. Taguette and QualCoder are free, open-source tools for coding qualitative data. Many universities also give students free access to NVivo, ATLAS.ti or MAXQDA, so check with your library or IT service. Dovetail and QualIntel OS have free plans, and most paid tools offer a free trial.

What is the easiest qualitative data analysis software to learn?

Quirkos, Delve and Taguette are the simplest to pick up: each focuses on the core job of coding text, with little else to learn. NVivo, ATLAS.ti and MAXQDA are more powerful but take longer to learn, and university training sessions help. AI-assisted tools can shorten the first pass through your data, but you still need to understand your method.

NVivo, ATLAS.ti or MAXQDA: which should I choose?

All three are capable, full-featured packages, so the most practical deciding factor is often which one your university licenses and your supervisor knows. Beyond that, NVivo is the most widely taught, ATLAS.ti has AI built in and a strong network view for theory building, and MAXQDA is the favourite for mixed methods and visual analysis.

Can I do qualitative data analysis in Word or Excel?

For a small project, yes. Many researchers code a handful of interviews with comments in Word or a spreadsheet of extracts. It gets hard to manage as your data grows, because retrieving every extract for a code, renaming or merging codes, and keeping a record of how your analysis changed are all manual. That record matters if examiners ask how you reached your themes.

What is qualitative coding software?

Qualitative coding software helps you label passages of interviews, focus groups or documents with codes, organise those codes into categories or themes, and retrieve every coded extract when you write up. Most qualitative data analysis software is coding software at its core; tools differ in how they handle codebooks, memos, team coding, AI assistance and audit trails.

What should I look for in qualitative data analysis software as a PhD student?

Five things matter most: (1) whether it keeps you, not the AI, making every interpretive decision; (2) whether it produces a defensible audit trail an examiner can review; (3) whether it supports an AI-disclosure statement if you use AI assistance; (4) whether it fits your methodology; and (5) cost and learning curve relative to the scale of your project.

Is AI-assisted qualitative software accepted by universities and examiners?

Increasingly, yes, provided the AI's role is disclosed and you keep, and can demonstrate, interpretive control. Examiners care less about whether AI was used than about whether you can show how you reached your interpretations. Check your institution's AI policy before you start, and keep a record of what the AI suggested and what you decided.

Try QualIntel OS on your own data

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NVivo is a trademark of Lumivero; ATLAS.ti of ATLAS.ti Scientific Software Development GmbH; MAXQDA of VERBI GmbH; Dedoose of SocioCultural Research Consultants, LLC; Delve, Quirkos, Taguette, QualCoder and Dovetail of their respective owners. QualIntel OS is not affiliated with, endorsed by, or sponsored by any of them. This comparison reflects publicly available information and our own opinion as of 2 November 2026. Features and prices change often, so check each provider's website before you decide.