Paper2LLM by KLIP
Transform Physical Archives into AI-Ready Intelligence
Paper2LLM bridges the gap between traditional archives and modern AI systems.
Through a combination of document digitization, data structuring, and LLM integration, it converts analog and paper-based information into structured, searchable, and secure digital knowledge pipelines. Whether deployed on the cloud or within a closed internal network, Paper2LLM makes legacy data accessible for intelligent processing without compromising data control.
From Paper to LLM in Four Steps
1. Digitization & OCR
We start by scanning paper or analog materials using high-throughput, project-specific equipment.
Our scanning systems are built for accuracy, consistency, and scale — capturing every page, drawing, or record in a format optimized for OCR and metadata extraction.
2. Metadata & Indexing
Once digitized, each document is analyzed to extract relevant metadata, context, and reference points.
This includes names, entities, dates, categories, and relational links, making it possible to locate and correlate information across large archives.
3. Parsing & Structuring
The extracted text and metadata are processed into machine-readable formats.
We structure messy or semi-structured data (tables, forms, handwritten notes) into consistent, searchable datasets that align with AI ingestion standards.
4. LLM Integration
Finally, we prepare and deliver the processed data into Large Language Model environments — public (secure cloud) or private (on-premise/internal network) — depending on your client’s requirements.
The result: clean, contextualized data that LLMs can query, summarize, or analyze.
Why KLIP PAPER2LLM is the solution for you
Proven Scanning Expertise
KLIP originates from the document digitization industry. We design and manufacture both scanning equipment and software, tailored for the unique demands of each project.
This lets us optimize performance and throughput in ways standard systems cannot.
Advanced Data Structuring
We specialize in turning unstructured and lightly structured data into indexed, contextual knowledge.
That means your clients can extract meaning from documents that were previously locked in archives or unsearchable formats.
Seamless LLM Data Delivery
KLIP bridges the technical gap between domain-specific archives and modern LLMs.
We handle the conversion of raw or technical information into representations that LLMs can interpret effectively, ensuring the data maintains both accuracy and relevance.
Flexible Deployment Options
Public Access (Cloud-Based)
Suitable for projects that require secure online accessibility. Data is stored and managed through protected cloud infrastructure while maintaining strict permission control.
Private / Offline (On-Premise)
Designed for institutions with sensitive or classified information. The entire Paper2LLM pipeline — from ingestion to model access — runs within the organization’s own network, with no external data flow.
Ideal Use Cases
Paper2LLM is suited for organizations that manage large volumes of historical or regulatory documentation:
- Government archives and registries – to access and cross reference data and information, to make quick and sound decisions based on actual data
- Research and academic institutions – providing indepth knowledge in an instant to identify possible breakthrough in the research process
- Enterprises with legacy records – connecting historical data with day to day business decisions
- Regulated sectors such as finance, healthcare, and law
Bring Intelligence to Your Archives
Partner with us to integrate Paper2LLM into your digital transformation portfolio — and help your clients unlock the knowledge hidden in their paper archives.