Turn documents into data your systems can use.
Invoices, bills of lading, forms, contracts, and statements often trap critical data in PDFs, scans, and email attachments. We build extraction pipelines that read documents, extract and validate the fields you need, and send them directly into your systems, with human review only when necessary.
The manual document grind.
Manual data entry
Staff typing data from documents into systems, one field at a time.
Slow processing
Documents sit in queues while people catch up.
Errors
Typos, missed fields, and inconsistencies from manual keying.
No structure
Data trapped in PDFs and scans with no way to query or route it.
No trail
No record of what was extracted, by whom, or when.
Any document, any format.
PDFs
Digital and scanned.
Images & scans
With OCR.
Email attachments
Pulled straight from the inbox.
Forms
Invoices, POs, bills of lading, KYC forms, statements, contracts.
What we deliver.
Extraction pipelines for your document types
Validation rules: checks that catch errors before they enter your systems
Exception queues: low-confidence items routed to a person for review
Field-level extraction: the exact data points you need
Confidence scoring: the system knows when it's unsure
Routing into your downstream systems, with a full audit trail
From document to clean data
Ingest
Documents arrive from email, drives, or APIs.
Read
OCR and parsing turn the document into machine-readable text.
Extract
AI identifies and pulls the fields you need.
Validate
Rules check the data makes sense; confidence scores flag uncertainty.
Route
Clean data flows into your systems; exceptions go to a human queue.
Built to be right, not just fast.
Extraction is only useful if you can trust it. So we don't just pull data out — we check it. Validation rules confirm the data makes sense, confidence scoring flags anything uncertain, and a human-review queue catches the exceptions before they reach your systems. Every field extracted and every correction made is logged, so you always know what happened and why.
Sends clean data where it needs to go.
Why our extraction holds up.
We ship this in production
Not a proof of concept — extraction pipelines running in live operations.
Senior-led
Experienced engineers on the work, not juniors learning on your project.
Validation-first
Every extraction is checked before it enters your systems.
Secure by default
Handled under ISO 27001 practices. Your documents stay private.
From discovery to production.
Discovery & Assessment
Document types, fields, validation rules, success metrics.
Build & Validate
Build the pipeline, test extraction accuracy on real documents.
Deploy & Harden
Integration, exception workflow, monitoring, handover.
Operate & Optimise
New document types and accuracy tuning.
Document Extraction
FAQ's.
Anything else? Write to us directly.
PDFs (digital and scanned), images and scans (with OCR), and email attachments, including invoices, purchase orders, bills of lading, KYC forms, statements, and contracts.
Accuracy depends on the documents, and we measure it against your real data. Just as important, we use validation rules and confidence scoring, and route low-confidence items to human review, so errors are caught before they reach your systems.
Low-confidence extractions go to an exception queue for a person to review, rather than being passed through automatically.
Yes. We route validated data into your ERP, CRM, accounting, or database systems via APIs and connectors.
Yes. Every extracted field and every correction is logged with attribution and timestamps.
Yes. Documents are handled under ISO 27001 practices with encryption and access controls.
Stop typing data out of documents.
Tell us the documents your team keys in by hand — we'll map the fastest path to automating it.
support@zyqo.ai · Bengaluru, India