“Mostly right” is the most expensive phrase in document automation. A 95%-accurate extractor sounds impressive until the 5% lands in your ledger, your contract terms, or your compliance file. Quillect is engineered around that reality: it measures confidence, validates against rules you define, and concentrates human attention exactly where the machine is unsure.
Quillect is an intelligent document processing (IDP) pipeline that turns inbound documents into clean, validated data your systems can trust. Documents arrive from email, API, SFTP, scanner, or web upload; Quillect classifies and routes them, extracts fields against a schema, checks the result with business rules, and only then promotes it — or escalates it for review.
A measured pipeline, end to end
Ingest from anywhere
Email, REST API, SFTP, network scanners, and web upload are all supported. Mixed-quality inputs — from crisp digital PDFs to skewed scans — flow through the same governed pipeline.
Classify and route automatically
Quillect identifies the document type and sends it down the right extraction path, so invoices, purchase orders, remittances, statements, and forms each get the handling they need.
Vendor-agnostic OCR
Use Amazon Textract, Azure Document Intelligence, Google Document AI, or open-source docTR. You are never locked to a single OCR vendor, which protects both cost and data-residency choices.
Schema-constrained LLM extraction
Fields are extracted against a defined schema with per-field confidence scoring. The model fills a known structure rather than free-styling, so downstream systems always receive predictable shapes.
Business-rule validation
Arithmetic checks, format rules, and cross-reference lookups run on every record. Totals that do not add up, malformed identifiers, and mismatched references are caught before they reach your books.
Human-in-the-loop on exceptions only
Low-confidence or failing records — and only those — go to a reviewer. Their corrections feed back into schemas and prompts, so accuracy compounds over time instead of plateauing.
Who Quillect is for
- Finance and operations teams drowning in high-volume, repeating document types.
- Regulated industries that need audit trails on every extraction decision and correction.
- Organisations that want vendor-neutral OCR and data-residency control, not a closed SaaS workflow.
- Teams replacing manual keying or brittle templates with a governed, improving pipeline.
Where Quillect excels
Designed for
- High-volume, repeating document types (invoices, POs, remittances)
- Bank statements and structured financial documents
- KYC and onboarding packages
- Forms with mixed-quality inputs, from digital PDFs to scans
Out of scope
- One-off, never-repeating bespoke documents with no schema
- Open-ended document “understanding” with no validation target
- Decisions that require human judgement the rules cannot encode
- Extraction without a defined output schema
Quillect FAQ
How is Quillect different from a single-vendor IDP suite?
Most IDP suites bind you to one OCR engine, one model, and one cloud. Quillect is vendor-agnostic across OCR and model, integrates with your existing identity and audit systems, and treats extraction as a measured pipeline with validation rather than a black box.
What happens to low-confidence extractions?
They are routed to a human reviewer with the original document and the proposed values side by side. Confident records flow straight through; only the ambiguous ones consume human time.
Does Quillect keep an audit trail?
Yes. Every classification, extraction, validation, and human correction is recorded, which makes Quillect suitable for regulated finance, insurance, and onboarding workflows.