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Description
Examine a wide range of data types, including but not limited to texts, images, audio and video files, websites, tweets, focus group discussions, and survey results. MAXQDA stands out as both a powerful and user-friendly tool, being the only top-tier qualitative data analysis software that offers a completely identical experience on both Windows and Mac platforms. Regardless of your interview methods in the field, MAXQDA can seamlessly process all types of files. You can import handwritten notes, audio and video recordings, and transcripts from various transcription services, along with Word or PDF documents that include highlights and comments. Organize your documents by assigning unique colors and grouping them based on location, time, topic, or category, for instance. The integrated MAXQDA transcription tool allows for easy transcription of audio or video files. You can immediately start coding your data, adding memos, and paraphrasing as you transcribe, ensuring that your initial thoughts are captured as soon as they arise. This flexibility makes MAXQDA an invaluable resource for researchers looking to streamline their data analysis process.
Description
Skimle revolutionizes the way unstructured qualitative data is converted into structured, analyzable datasets through the use of artificial intelligence. In contrast to RAG chatbots that simply retrieve isolated excerpts, Skimle meticulously processes complete sets of documents from the outset—examining each segment, gathering insights, and categorizing them within a structured hierarchy of themes.
You can upload various formats of qualitative data such as interview transcripts, PDFs, audio or video files, and reports. The workflow that Skimle employs, which draws inspiration from scholarly thematic analysis, systematically codes every passage, uncovers recurring patterns, and compiles a comprehensive "spreadsheet" where documents are organized as rows and themes as columns. Each insight is directly tied to verified quotes, ensuring accuracy without any fabrication.
Supporting over 100 languages and capable of handling more than 1,000 documents per project, Skimle is fully compliant with GDPR regulations applicable in the EU, providing complete traceability between themes and quotes. Users can also enjoy features such as customizable categories, AI-driven chat for reasoning, and options to export findings into Word, Excel, or PowerPoint formats.
What sets Skimle apart is its ability to merge the rigorous standards of academic research with the rapid processing capabilities of AI. Tasks that traditionally consume weeks when using NVivo or other conventional tools can be completed in mere hours with Skimle, all while maintaining detailed audit trails essential for peer review and validation. This efficiency not only saves time but enhances the overall research experience, making qualitative analysis more accessible and streamlined than ever before.
API Access
Has API
No
API Access
Has API
No
Pricing Details
$45 per user per month
Free Trial
No
Free Version
No
Pricing Details
$0
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
VERBI Software
Founded
1989
Country
Germany
Website
www.maxqda.com
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Product Features
Qualitative Data Analysis
Annotations
Yes
Collaboration
Yes
Data Visualization
Yes
Media Analytics
Yes
Mixed Methods Research
Yes
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
Yes
Sentiment Analysis
Yes
Statistical Analysis
Yes
Text Analytics
Yes
User Research Analysis
Yes
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
Yes
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
No
Sentiment Analysis
Yes
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
Yes
