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Atlas.ti

Atlas.ti is an intuitive qualitative data analysis tool that helps you uncover meaningful insights from interviews, focus groups, surveys, and multimedia data.

Deploying ATLAS.ti for your institution or research team?

Get organization and campus licensing, centralized administration, and expert support to scale qualitative research across your teams.

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Organization, campus, and team licensing with flexible user management

Real-time collaboration via ATLAS.ti Web with secure, encrypted data storage

Dedicated onboarding, training, and live expert support for your researchers

Atlas.ti Product Overview

The AI-driven qualitative data analysis software trusted by researchers worldwide — from import to insight, all in one platform.

Accelerate productivity with AI

Reduce manual tasks with AI-powered code suggestions, auto transcription for 30+ languages, and conversational data exploration via natural language.

Uncover deeper insights

Reveal patterns and connections across text, audio, video, images, and surveys that would be missed through manual analysis alone.

Present your findings confidently

Transform your analysis into compelling visualizations — bar charts, word clouds, network diagrams — that communicate insights clearly and credibly.

Who is it for

Academic researchers

Faculty, PhD students, and postdocs in higher education conducting qualitative and mixed methods research across social sciences, education, and health.

Healthcare & life sciences

Clinical researchers and public health professionals analyzing patient narratives, interviews, and observational data to inform care and policy.

Market & UX researchers

Consumer insights and UX teams who analyze interviews, focus groups, and open-ended survey data to understand user needs and behaviors.

Government & enterprise

Policy analysts and enterprise teams who need secure, collaborative qualitative analysis with audit-ready documentation and team workflows.

Use cases

Thematic analysis

Systematically code and analyze recurring themes across interviews, focus groups, and open-ended responses with AI-assisted suggestions.

Grounded theory

Build theory iteratively from raw data through structured coding, categorization, and constant comparison across documents.

Mixed methods research

Integrate qualitative coding with quantitative survey data to develop richer, more complete research findings.

Discourse & content analysis

Analyze text, media, and social data systematically to surface patterns, sentiments, and conceptual frameworks.

Collaborative team analysis

Work simultaneously with team members in real time using ATLAS.ti Web, sharing codes, memos, and findings across your research group.

Multimedia data analysis

Import and code audio, video, images, and geo-referenced data alongside text for comprehensive multimodal research projects.

Frequently asked questions