Projects
Organize documents, jobs, and settings into focused workspaces. Track high-level throughput and health.
Drop to upload
Drag & drop a PDF here
Operations Command
Observe ingestion workloads, track live execution, and audit historical outcomes.
Active Jobs
0 Running or queuedCompleted Today
0 Since midnightFailures
0 Need attentionLive Activity
0 jobsCompleted Jobs
0 entriesExecution timeline
Visual overview of recent jobs and their lifecycle transitions.
Select a document
Choose a document from the documents tab to inspect individual metadata and page previews.
Document Compare
Visualise how categories overlap across documents. Connections highlight shared knowledge areas.
About
Documents transformed into actionable intelligence
DocumentDNA is purpose-built for detailed document processing, advanced knowledge discovery, and high-fidelity insights extraction across complex and unstructured content. Its core mission is to transform incoming files from raw, fragmented data into structured, actionable knowledge that can directly support decision-making. The platform analyzes documents at multiple levels, capturing entities, relationships, context, and hidden patterns that are typically lost in traditional document pipelines. This enables organizations to accelerate research, strengthen compliance controls, and generate reliable, explainable reports. As a result, DocumentDNA turns documents from passive storage artifacts into active, intelligence-driven assets.
DocumentDNA is a non-commercial research project led by Renat Gilmanov, designed to demonstrate how complex, user-oriented solutions can be developed rapidly when grounded in deep, domain-specific knowledge and expertise. The project serves as a practical proof that combining strong domain understanding with modern AI techniques enables faster iteration, higher quality outcomes, and meaningful real-world impact.