Sastra Metrik:
visualizing literary analysis.
What is Sastra Metrik?
Sastra Metrik is an AI-powered literary analysis platform specifically designed to dissect the language mechanics within written works. We bridge the world of poetry with data technology to see how a text breathes, moves, and conveys its meaning.
Through an auditable scientific approach, this platform visualizes intrinsic literary elements — from rhyme schemes and lexical density to text atmospheric dynamics — into observable data without losing its poetic essence.
Digital Poetics & AI Methodology
Every text you entrust goes through two primary analysis phases. The first is Structural Analysis, which works deterministically to extract technical metrics such as figures of speech, narrative structure, and semantic maps.
The second phase is Hermeneutic Reading, where artificial intelligence synthesizes that structural data into deep narrative interpretations. The final result is not just numbers, but a comprehensive visualization that helps writers 'see words work' in a new dimension.
Vision: The Future of Literary Criticism
We believe that technology is not here to replace human critics or readers, but to expand the horizon of our perception. Sastra Metrik aims to be a supporting instrument for writers in the self-editing process and a tool for academics to perform work dissection objectively and systematically.
Infrastructure & Security
Powered by the most advanced language models (Large Language Models) from Google Gemini and OpenAI, Sastra Metrik is built with an architecture that prioritizes data integrity and processing speed. Every analysis is conducted privately and securely, ensuring the writer's intellectual rights remain fully protected.
Support & Community Relations
Sastra Metrik is developed by the creative unit of PT Captour Wisata Indonesia as a contribution to the digital literacy ecosystem in Indonesia. We highly value every input and invitation for collaboration to continue developing the quality of our machine reading.
For technical questions, partnerships, or credit usage assistance, please contact our team through WhatsApp Service (+62 878 2726 7325).