Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Bring in extensive amounts of text into Transana in a plain text format from Word documents or RTF files, then proceed to categorize and code the information. You can also import, transcribe, code, and analyze up to four media files simultaneously, making it easy to manage your projects efficiently. Identify media Clips within their context and export Clip videos as needed. Additionally, you can import still images or capture snapshots from your video data within Transana, allowing for versatile visual integration. Crop, categorize, and apply coding shapes to your images, and seamlessly embed them into your Documents and Transcripts as required. Furthermore, you can import survey data formatted as spreadsheets for qualitative analysis, selecting specific questions for automatic coding during the import process. Utilize Transana’s robust analysis tools to maximize insights from your survey responses, and easily convert your video files into an analysis-friendly format with Transana’s user-friendly conversion feature, enhancing the overall workflow of your project. This comprehensive set of features makes Transana a powerful tool for qualitative researchers seeking to integrate various data types effectively.
API Access
Has API
No
API Access
Has API
No
Pricing Details
$0
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Vendor Details
Company Name
Spurgeon Woods
Founded
2000
Country
United States
Website
www.transana.com
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
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
No
Quantitative Content Analysis
Yes
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
No