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Documents in.
Structured data out.

OCR combined with LLM extraction turns any document — invoice, contract, KYC form, medical record — into clean, validated, structured data in seconds. No templates. No brittle regex. Works on everything you throw at it.

StatusOn request · Internal tooling
Accuracy>97% field extraction
API latency<3s per document
The problem

Template-based extractors break the first time a vendor changes their PDF.

Traditional OCR tools need a template for each document format. Every new supplier, every updated form, every international layout requires engineering time. At 50 vendors it's a maintenance nightmare.

Automated Document Reader uses a vision-language model to understand document intent, not structure. Give it any invoice — printed, handwritten, scanned sideways — and it extracts the right fields correctly. No templates maintained by your team.

Feature · Core

Template-Free Extraction

LLM-powered field extraction understands document semantics. Works on invoices, purchase orders, contracts, receipts and forms from any source.

Feature · OCR

Hybrid OCR Engine

Combines Tesseract, AWS Textract and PaddleOCR for maximum coverage across print quality, languages and page orientations.

Feature · Validation

Schema Validation & Confidence

Every extracted field carries a confidence score. Low-confidence extractions are routed to human review with highlighted ambiguous areas.

Feature · Workflow

Human-in-the-Loop Review

Clean review UI for exceptions. Corrections feed back into the model — accuracy improves continuously on your specific document types.

Feature · API

REST API & Webhooks

Send a document URL or upload directly. Get structured JSON back in seconds. Webhooks for async processing of large batches.

Feature · Compliance

PII Handling & Audit Trail

Automatic PII detection and masking, configurable data retention, full processing audit trail and GDPR-compliant data handling.

Interested in Document Reader for your document-heavy workflow?

Get in touch →