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Integrated with AI
Cloud and on-premise AI powered by leading Large Language Models
ChronoScan AI — Next-Level Document Intelligence
ChronoScan Advanced and Enterprise editions support the latest generation of AI, running Large Language Models (LLMs) for transformative document automation. LLMs deliver advanced data extraction, document analysis, automatic content classification, summarization, natural language understanding, and more.
Drastically reduce manual effort on complex and unstructured documents
Advanced content classification, entity extraction, and summarization out of the box
Choose cloud AI (maximum performance) or local models (total data privacy)
Cloud AI providers
OpenAI GPT / Azure OpenAI
ChatGPT 3.5, 4, GPT-4o, GPT-5
- Integration with ChatGPT 3.5, 4, GPT-4o and GPT-5 online services
- Context windows up to 1M tokens (4K, 16K, 32K, 128K supported)
- GPT-4-vision and GPT-4o support direct image processing — no OCR needed
- Highly flexible for extracting, classifying, or summarizing any data
- Scriptable via VBScript for direct AI-powered automation
No OCR required, faster for image requests
Consumes credits, requires internet, images processed on OpenAI / Azure servers
Gemini AI (Google)
Gemini Advanced on Google Cloud
- Enterprise-grade text and image analysis, semantic understanding, and entity extraction
- Multilingual support, entity recognition, and data classification
- Secure and scalable with Google Cloud infrastructure
- Handles images, tables, and formatted text natively
No OCR required, faster for image requests
Consumes credits, requires internet, images processed on Google servers
On-premise / Private AI
Open-Source LLMs — Llama, Mistral, Gemma & more
Via Ollama or compatible platforms
- Supports Llama (Meta), Mistral, Gemma and more via Ollama or similar platforms
- Run locally or on your private server — full data confidentiality, zero cloud dependency
- Ideal for strict privacy or compliance requirements
- Low-cost way to experiment with LLM technology in-house
Technical note
Each LLM has a context window (max tokens at once): 4K, 16K, 32K, 128K… More tokens = richer analysis but higher compute. GPU recommended for large-scale jobs.
No internet required, complete data privacy, no per-query costs
GPU recommended, performance depends on local hardware
Getting started guides