Documents in. Clean data out.
We build document-AI pipelines that read invoices, receipts, IDs, forms, and Indian-language scripts, then hand back structured, testable output.
Deliverables
What you get, in writing.
Field-level extraction
Named fields from PDFs, scans, and photos with confidence scores and a JSON schema you can validate against.
Indian-language OCR
Tamil, Telugu, Kannada, Hindi, Bengali, and mixed-script documents, with a written accuracy report on your sample.
Semi-structured forms
Layout-aware parsing for KYC packets, applications, and multi-page documents with checkboxes and signatures.
Human-in-the-loop review
A keyboard-first review screen for low-confidence fields, with an audit trail per document.
Ingestion to database
S3, SFTP, or API ingest; batch or event-driven processing; delivery straight into your system.
Runbook & metrics
Deployment guide, monitoring, and an accuracy baseline measured on your own validation set.
97%
Field-accuracy target on the agreed schema
24h
First response to every inquiry
30d
Support after launch
Tools we reach for · documented, replaceable, no lock-in
Process
How it runs.
Four steps, agreed before any code is written: what the system should do, what it should refuse, and how success gets measured.
- 01
Fields & samples
Send 20–100 representative documents. We agree the schema, accuracy target, and validation split.
- 02
First extraction
Working JSON output on your sample and a first accuracy readout, usually within the first week.
- 03
Harden & validate
Error analysis, targeted fine-tuning if needed, and a validation report on held-out documents.
- 04
Deploy & handoff
Deployed on your infrastructure with a runbook, dashboards, and 30 days of support.
Paperwork piling up?
Share the format, volume, and fields you need. You get a fixed scope, price, and accuracy target within 24 hours.