What is TAWNY?
Emotion and attention decoded from any camera, GDPR-compliant.
Who is TAWNY best for?
TAWNY is best for market and academic researchers who want to measure reactions to ads or products from ordinary webcam video.
Ad and UX testing
Researchers record participants at home and see moment-by-moment emotion and, with web-based eye tracking, where their attention goes.
Academic studies
The platform exports raw emotion data per participant as CSV files for analysis in R, Python or SPSS.
Developers and product teams
A REST API on request, a Python SDK on PyPI and on-premise options bring its models into their own products.
Events, retail and transport
Custom crowd analytics count people and track flow and density from existing cameras, as in a passenger counting system built with Deutsche Bahn.
How much does TAWNY cost?
TAWNY does not publish prices: its Professional platform plan is billed yearly and priced only at checkout after you sign in, and the maker says it generally starts with a free trial.
TAWNY's docs say a TAWNY Professional subscription, sold through Paddle and billed yearly, is needed to create projects or upload videos, and cancelling during the free trial costs nothing. Research projects run by its team, API access and custom work are arranged through the contact form. Plans and current prices are on docs.tawny.ai.
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What are the best TAWNY alternatives?
One tool on Recaply does TAWNY's job.
Questions about TAWNY
What is TAWNY?
Emotion and attention decoded from any camera, GDPR-compliant.
Who is TAWNY for?
TAWNY is best for market and academic researchers who want to measure reactions to ads or products from ordinary webcam video.
Is TAWNY free?
You can try TAWNY free before paying.
What are the best TAWNY alternatives?
The closest alternatives on Recaply are Imentiv AI.
Where can I try TAWNY?
On its official website, tawny.ai.
Do collaborators need their own TAWNY subscription?
No. Only the owner of a TAWNY project needs an active Professional subscription to upload new videos; people invited to the project as collaborators can open and work in it without paying.
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