# Turn raw documents into clean, consistent, verified data. Pulling text off a page is the easy part. The Data Layer is everything that makes that data usable: structuring it, enriching it, verifying it against real sources, and reconciling it across documents, so what reaches your systems is already correct, not just captured. ## Extracted data is not the same as trustworthy data. Most tools stop at extraction. They hand you fields off a document and call it done, leaving your team to catch the mistakes: a misread total, a supplier name that doesn't match your records, a tax number that doesn't validate, two documents that disagree. Those errors are invisible until something downstream breaks. The Data Layer closes that gap. It doesn't just read a document, it makes the data consistent, checks it against external sources, and reconciles it across related documents before anything moves on. - **Before Staple:** extracted fields land in your systems unchecked, and errors surface later in payments, filings, or audits. - **What the Data Layer handles:** extraction, multilingual processing, table structuring, verification, validation, and reconciliation. - **What comes next:** clean, verified data passes to the Trust Layer to be sealed, then delivered. ## What the Data Layer does ### Data Extraction & Enrichment Converts complex documents into structured, normalized, enriched data downstream systems can use immediately. [Data Extraction & Enrichment](/content/platform/data-layer/data-extraction-enrichment/index.html) ### Multilingual Processing Reads, extracts, and validates across 300+ languages, no manual translation, no per-language setup. [Multilingual Processing](/content/platform/data-layer/multilingual-document-processing/index.html) ### Intelligent Tables Reads messy, inconsistent, and multi-page tables, capturing line items even when layouts aren't clean. [Intelligent Tables](/content/platform/data-layer/intelligent-tables/index.html) ### AI Contextual Verification Checks each field against the document's own context, catching values that were captured but don't make sense. [AI Contextual Verification](/content/platform/data-layer/ai-contextual-verification/index.html) ### Business Rules & Anomaly Detection Applies your own rules and flags outliers at the point of extraction, before they reach a downstream process. [Business Rules & Anomaly Detection](/content/platform/data-layer/business-rules-anomaly-detection/index.html) ### External Validation & E-Invoicing Validates data against tax authorities, registries, and e-invoicing networks, so what you record is externally confirmed. [External Validation & E-Invoicing](/content/platform/data-layer/external-validation-e-invoicing/index.html) ### Cross-Source Reconciliation Reconciles values, quantities, and line items across related documents, so mismatches surface at intake, not in an audit. [Cross-Source Reconciliation](/content/platform/data-layer/cross-source-data-reconciliation/index.html) ## Proven on the hardest real-world data Global construction leader Invoices and delivery orders arrived with stamps, handwriting, and unstructured tables across 12 sectors. Staple extracts complex table data with no templates, at 99.34% accuracy, with 65% of documents processed without correction. Result: 99.34% accuracy in data extraction Global investment bank Non-standardized documents across 5+ countries, with fields validated and quantities, values, and line items reconciled in real time, at 3 to 6 seconds per document. Result: 3 to 6 seconds per document to process ## FAQ ### What is the Data Layer in Staple's platform? The Data Layer is the stage of first-mile processing that turns raw document content into clean, verified, consistent business data. It covers extraction, multilingual processing, table structuring, contextual verification, business-rule and anomaly checks, external validation, and cross-source reconciliation. Its job is to make sure the data leaving it is not just captured but correct. ### Isn't this just OCR or data extraction? No. Extraction is one step inside the Data Layer. OCR reads characters off a page; the Data Layer structures that content, enriches it, verifies it against external sources, applies business rules, and reconciles it across documents. The output is verified data, not raw captured text. ### Does the Data Layer handle structured and unstructured data? Yes. Structured feeds, semi-structured forms, and fully unstructured documents, including scans, handwriting, and stamps, are all processed in the same pipeline across 300+ languages. ### How does Staple verify data instead of just extracting it? It checks data three ways: against the document's own context, against your configured business rules, and against external sources such as tax authorities and registries. It also reconciles the same information across related documents. A value that is captured but wrong is caught before it moves downstream. ### Which child capability should I look at first? It depends on your problem. For raw accuracy on hard documents, start with Data Extraction & Enrichment or Intelligent Tables. For correctness and compliance, look at AI Contextual Verification, External Validation & E-Invoicing, or Cross-Source Reconciliation.