Transana

Quirkos gives a visual, cheap and intuitive way to qualitatively analyse text data. Designed around a unique bubble interface, Quirkos is easy to learn and use, giving intuitive insights into data. Live collaboration, side-by-side comparisons and powerful visualisations help users uncover interesting findings. Available as cloud based, or offline software, with identical features and compatibility across Windows, Mac and Linux.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.