InqScribe
Professional digital media transcription and subtitling for high-precision human-in-the-loop workflows.

Lean qualitative data analysis for rapid coding and thematic insight generation.
f4analyse is a specialized CAQDAS (Computer-Assisted Qualitative Data Analysis Software) designed for researchers who require a streamlined, high-performance alternative to overly complex analytical tools. In the 2026 research landscape, f4analyse maintains a competitive edge through its strict adherence to 'lean analysis' principles, focusing on speed, portability, and user-centric inductive coding. Its technical architecture is built for local-first data privacy, ensuring that sensitive qualitative data remains encrypted on the user's machine rather than in the cloud, which is a critical requirement for HIPAA and GDPR-compliant studies. The software facilitates a seamless workflow from transcription (integrated with f4transkript) to coding, memoing, and visualization. Its unique 'distribution analysis' tool allows researchers to quantify code frequencies across different cases instantly. By prioritizing a shallow learning curve without sacrificing depth in Boolean retrieval and hierarchical code management, f4analyse is the preferred choice for individual academics, medical researchers, and UX professionals who need to move from raw text to structured findings without extensive software training.
Direct synchronization between text segments and original audio timestamps for immediate context verification.
Professional digital media transcription and subtitling for high-precision human-in-the-loop workflows.
The AI-driven qualitative researcher that scales human-like interviews to thousands of participants simultaneously.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Quantitative summary of code frequencies visualized in a bar chart format with click-through to source text.
Real-time code generation directly from the text selection without pre-defining a codebook.
Rich-text memos that can be pinned to specific text passages, codes, or the project as a whole.
Complex search queries using AND, OR, and NOT operators across codes and variables.
A matrix view that displays code content across cases for horizontal comparison.
Logical merging of individual project files (.f4) for collaborative team analysis.
Managing 50+ interview transcripts without getting lost in complex software menus.
Registry Updated:2/7/2026
Quickly categorizing user feedback from usability tests into positive/negative sentiment.
Handling highly sensitive health data while maintaining strict GDPR compliance.