Document Extraction & Search
We turn knowledge from PDFs, DOCX, PPTX, Excel files, images, scans, and emails into structured, searchable information. The result is reliable data, traceable sources, and a solid foundation for AI applications.
Defined starting point
Test with real documents before commissioning a system.
The fastest route to a reliable document AI project is a benchmark with your own files.
2 weeks
Document AI Benchmark
We test 30 to 100 real documents for extraction, search, source traceability, structure quality, and technical limits.
What we deliver in this area
Depending on the use case, we cover the steps that actually matter: from extraction and structuring to search, retrieval, and integration into existing workflows.
Extraction across mixed document sets
Search with source traceability
Integrated into existing workflows
Formats we commonly process
The exact mix depends on the use case. In practice, most projects deal with long-grown document estates across several file types.
Typical use cases
These examples show how document extraction and search speed up operations and make knowledge usable for AI systems.
Read invoices, forms, and attachments
Search contracts and policies
Make enterprise knowledge AI-ready
Structure email and document intake
Useful next building blocks
Document knowledge is often the foundation for privacy-conscious AI and agentic workflows.
Local & Privacy-Conscious AI
Decide whether document processing should run on Swiss hosting, hybrid architecture, or private infrastructure.
Check operating modelAgentic Software
Use extracted data and sources so agents can prepare dossiers, check status, or coordinate approvals.
View agentic workflowsOmnisearch & References
See how AI-assisted search, full-text search, and document platforms look in real projects.
View projects
Frequently asked questions about extraction & search
Short, honest answers to the questions that come up most often in first conversations.
How can AI extract data from business documents?
Modern models read layouts, tables, forms, and scans reliably. We combine OCR and vision models with validation rules and structured output so fields like amounts, dates, parties, or deadlines land cleanly in your systems instead of being retyped manually.
Which document formats can be processed?
Typically PDF, DOCX, PPTX, XLSX, CSV, scans, images, and emails including attachments. In practice, most projects deal with long-grown document estates that mix several formats, which is exactly what our extraction pipelines are built for.
How does AI search over internal documents work?
Documents are extracted, structured, and indexed. Search combines full-text and semantic retrieval, and answers link back to the concrete source. Results stay traceable and verifiable instead of an AI answering without evidence.
What happens with confidential documents?
Extraction and search can run on Swiss hosting or private infrastructure, with document-level access control. Where data residency is a hard requirement, we combine this area with our local and privacy-conscious AI offering.
Ready to make document knowledge productive?
We show you how distributed files can become a searchable, AI-ready knowledge base and which extraction steps actually matter for your process.
Digital4You
We focus on three connected areas: privacy-conscious local AI, document extraction and search, and agentic software for operational workflows.
Based in Urtenen-Schönbühl, Bern. Consulting, implementation, and operation with Swiss accountability.