CAP-01Active
Field-Level Confidence
Every extracted value includes a 0–100 confidence score for validation and error handling.
SHEET 01Document AIEXTRACT
Define the schema. Extract with confidence.
Schema-based structured data extraction that pulls exactly the fields you need from any document. Every extracted value comes with a confidence score and source citation for full traceability.
99.5%Accuracy
50+Fields Per Schema
<1msExtraction Time
100%Traceable
SHEET 02How It WorksFLOW
Schema to structured data in three steps
Define what you need, point the engine at your documents, and receive validated JSON with confidence scores and citations on every field.
STEP 01Define Schema
Specify the fields, types, and validation rules you need extracted from your documents.
STEP 02Point at Documents
Upload documents in batch or enable real-time extraction via API.
STEP 03Get Structured Data
Receive JSON with confidence scores and source citations for every field.
INPUT: documents OUTPUT: structured JSON confidence + citations per field
SHEET 03Key FeaturesCAP-01..06
Built for transparency and control
Enterprise-grade extraction with full transparency and control.
CAP-02Active
Source Citations
Trace every extraction back to the exact location in the source document.
CAP-03Active
Multi-Field Extraction
Extract dozens of fields simultaneously from complex, variable-layout documents.
CAP-04Active
Layout & Context Aware
Understands document structure and semantic meaning, not just text proximity.
CAP-05Active
Iterative Schema Development
Refine schemas with feedback loops and sample validation before production.
CAP-06Active
Batch & Real-Time
Process thousands of documents in batch or extract on-demand via API.
SHEET 04Use CasesUC-01..04
Built for industry
Extraction tailored to the documents that matter most.
UC-01
Invoice Extraction
Line items, totals, vendor info, payment terms, and tax details.
UC-02
Contract Analysis
Key terms, dates, obligations, counterparties, and renewal clauses.
UC-03
Insurance Claims
Policy data, damages assessment, medical info, and claim amounts.
UC-04
Research Papers
Findings, methodology, citations, abstract, and author affiliations.
SHEET 05ProofMETRICS
Measured in production
Accuracy, throughput, and traceability, instrumented on every extraction run.
99.5%Accuracy
50+Fields Per Schema
<1msExtraction Time
100%Traceable
SHEET 06ComparisonVS
Why structured extraction wins
Schema-based extraction against manual data entry and template OCR, line by line.
FeatureAssistents ExtractionManual Data EntryTemplate OCR
Field Extraction99.5% accurate, schema-based, zero manual interventionHighly error-prone, time-intensive, inconsistentLimited to predefined layouts, fails on variations
SpeedMilliseconds to seconds per documentHours to days depending on volumeFast but rigid—requires document standardization
ScalabilityLinear cost scaling, handles 10K+ documentsNon-linear—requires hiring for volume spikesBreaks on layout variation or new document types
TransparencyConfidence scores + source citations for every fieldNo audit trail or confidence metricsNo visibility into extraction logic
Schema EvolutionAdapt schemas without retraining or code changesRequires process redesign and retrainingLocked to template—cannot evolve
5 criteria schema-based vs manual vs template OCR
SHEET 07Sign-offREADY
Ready to extract with confidence?
Start with a schema, process your first documents in minutes, and see the accuracy difference immediately.
- Capability
- Structured data extraction
- Output
- JSON · confidence + citations
- Accuracy
- 99.5% · 50+ fields per schema
- Sheet
- 7 of 7 · Extract