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ATLAS.ti | Qualitative Data Analysis Software

ATLAS.ti helps research organizations and businesses organize and analyze non-numerical data. It is designed for teams that need to identify themes across interviews, surveys, or documents.

At a glance

Best for
Research Organizations, Academic Institutions, Market Research Firms, UX and Product Designers, Data Analysts
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a free trial is available.
Key use cases
Interview Analysis, Survey Data Analysis, Focus Group Analysis, Literature Review, User Research
Integrations
Mendeley import, Zotero import, Endnotes import, Twitter import, Evernote import
Official website
atlasti.com
Screenshot of atlas ti website

ATLAS.ti is a qualitative data analysis (QDA) platform available for Windows, Mac, and web browsers. It is designed to help researchers, academic institutions, and commercial firms manage the process of coding and analyzing unstructured data from various sources.

The software supports imports of PDFs, images, audio, and video. It includes AI-powered tools to help with coding and summarization, which may reduce manual work involved in identifying patterns within text and media.

For teams, the platform supports real-time collaboration via the web version and shared licensing options. Buyers should note that some features and supported data types differ between the desktop and web versions.

Prospective buyers should confirm whether the AI coding and automated transcription features align with their specific scientific or institutional rigor requirements.

Key Features

Multi-source Data Import

Supports importing text, PDFs, images, audio, video, survey data, and reference manager data.

AI-Powered Coding

Uses OpenAI technology to suggest codes and supports automated coding based on research goals.

Sentiment Analysis & Opinion Mining

Classifies text segments by tone and evaluates key aspects and affections in context.

Auto Transcription

Converts audio and video files into text for 30+ languages.

Data Visualization

Includes tools for creating word clouds, Sankey diagrams, bar charts, and network visualizations.

Real-time Collaboration

Supports team members working together on projects and sharing findings via the web platform.

Use Cases

Interview Analysis

Organizing and coding transcripts from individual or group interviews to identify recurring themes.

Survey Data Analysis

Analyzing open-ended responses from surveys to gain qualitative insights.

Focus Group Analysis

Processing group discussions and using speaker coding to track different participants.

Literature Review

Importing data from reference managers to organize and analyze academic papers.

User Research

Analyzing UX research, customer feedback, and concept prototypes to validate designs.

Best For

Research OrganizationsAcademic InstitutionsMarket Research FirmsUX and Product DesignersData Analysts

Integrations

Mendeley importZotero importEndnotes importTwitter importEvernote importExcel exportPDF exportWord exportSPSS exportQDPX export

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a free trial is available.

FAQ

What types of data can ATLAS.ti analyze?

ATLAS.ti supports a wide variety of data, including text files, PDFs, images, audio and video files, survey data, and social media comments.

Does ATLAS.ti have AI capabilities?

Yes, it integrates OpenAI technology for features such as AI Coding, Conversational AI, AI Summaries, and Sentiment Analysis.

Can multiple people collaborate on a project in ATLAS.ti?

Yes, the software supports real-time team collaboration through its web version and offers multi-user licenses for shared projects.

Is ATLAS.ti available for Mac and Windows?

Yes, it provides native applications for both macOS and Windows, as well as a version accessible via web browsers.

Source category: Data & Analytics

Source subcategory: Qualitative Data Analysis

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