# Stop typing documents in · Structurify · Dscvry > Structurify turns documents into structured, review-ready data: pre-built templates, confidence scores, human review, and export to CSV, JSON or webhooks. Source: https://dscvryai.com/technology/products/structurify/ # Stop typing documents in. Choose a template. Upload. Review and export. How Structurify works · How it works · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## The data is there. It's stuck in documents. Invoices, tax forms, contracts and records arrive as PDFs, scans and spreadsheets. Someone retypes them, or the data never reaches a system at all. ### Manual entry. Hours of copying values from documents into systems, with errors along the way. ### Every layout different. Each supplier and authority formats the same information its own way. ### No way to check. Without a confidence score, every extracted value has to be trusted or rechecked. ## How Structurify works. Choose a template, upload, then review and export. Start from a template, not a blank page. ### Templates Pre-built templates for invoices, tax forms, medical records, contracts and more, or start blank for your own documents. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ Every value, with its confidence. ### Review Extracted data arrives with confidence scores. People approve, edit or flag values before anything is exported. See it in supplier quality → https://dscvryai.com/use-cases/supplier-quality/ Documents in. Data out. ### Formats PDFs, images, Word, Excel and PowerPoint files, including scans, in batches. Out come CSV, JSON or webhooks. See it in purchase orders → https://dscvryai.com/use-cases/purchase-orders/ Say what you need. ### Plain English Extractions are defined in plain English, with no code and no machine learning expertise required. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ ## Built on tested components. Structurify is a product: document repair, text and layout reading, table recovery and schema checks, assembled into one workflow and exposed as a product. Upload Sense PDFs, images, office files and scans. Read Specialized model Text, layout and tables recovered. Extract Specialized model Fields filled against the template. Check Rules & code Formats, totals and schema validated. Review Human Low-confidence values go to a person. ## Thirteen fields automatic. One checked by a person. Extraction · invoice INV-8841. Extraction does the typing. People check what it isn't sure about. **Template.** Invoice template, 14 fields. **Extracted.** 13 fields with confidence above the review threshold. **Low confidence.** VAT number partly unreadable on the scan: 0.61. **Reviewed.** A person corrected the VAT number; the record exported as JSON. Illustrative example. Document and values are fictional. ## Built for real teams. Enterprise controls from the first document. - ### Enterprise security. SSO, role-based access, audit logs and encryption. [Security & trust](https://dscvryai.com/security/) - ### Try it today. Structurify runs as a service, with evaluation credits to start. [structurify.ai](https://structurify.ai/) - ### Inside larger systems. The same components power document work across the AI. [Documents](https://dscvryai.com/technology/sense/documents/) ## Where it shows up. Problems that start with a document. Which invoices are we overpaying? ### Invoice errors Catch overbilling, duplicates and mistakes before payment. See how → https://dscvryai.com/use-cases/invoice-errors/ Does this PO match what we’re paying? ### Purchase orders Find mismatches before payment. See how → https://dscvryai.com/use-cases/purchase-orders/ Is the supplier’s evidence complete? ### Supplier quality Find missing or inconsistent evidence. See how → https://dscvryai.com/use-cases/supplier-quality/ Did they deliver what the contract says? ### Contract compliance See whether obligations were actually met. See how → https://dscvryai.com/use-cases/contract-compliance/ ## Where it runs. The AI goes to where the work is, from hosted to air-gapped. ### A managed environment. Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement. Discuss hosted · ## Put them to work. Each one is tested on your own work before you rely on it. ### Models Specialist models, evaluated on your data and run inside your boundary. Explore Models → https://dscvryai.com/technology/models/ ### Agents Agents that run on their own and hand over to a person at the decisions that matter. Explore Agents → https://dscvryai.com/technology/agents/ ### Products Ready-made products for recurring jobs, from documents and contracts to sustainability data. Explore Products → https://dscvryai.com/technology/products/ ### APIs Model, agent and data APIs that plug into the systems you already run. Explore APIs → https://dscvryai.com/technology/apis/ ### Data Data collected, extracted and governed, with every value traced to its source. Explore Data → https://dscvryai.com/technology/data/ ### Evaluations Tests built from your own cases, rerun every time a model changes, so you always know how well it does your work. Explore Evaluations → https://dscvryai.com/technology/evaluations/ ## Bring us the work where wrong is expensive. Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run. [Talk to us →](https://dscvryai.com/contact/) **London**Discovery AI Limited · United Kingdom **Hyderabad**ReDscvry Technology Private Limited · India **Chennai**ReDscvry Technology Private Limited · India