Software · Data and AI
Document AI
Software that reads scanned and digital documents, pulls out the data you need and flags anything it is unsure of.
Teams still retype invoices, claim forms and purchase orders into other systems by hand. We build document AI that reads PDFs, scans and phone photos, extracts the fields you care about and checks them against your records. Every field carries a confidence score, and anything below your threshold goes to a reviewer, so speed never comes at the cost of wrong data.
What we build
- Invoice capture that extracts supplier, GSTIN, line items and totals into your ERP
- Claim and application form readers that handle printed and handwritten entries
- KYC checks for ID and address proofs, with mismatches flagged for staff
- Contract review tools that find parties, dates, renewal terms and unusual clauses
- Review screens showing the document beside the extracted fields for quick correction
- Classifiers that sort incoming mail and email attachments by document type
DemoInteractive · sample data
Try it live.
A working sample with made-up data. It runs in your browser; nothing is sent anywhere.
TAX INVOICE Kestrel Packaging Pvt Ltd GSTIN: 27AAKCK4821M1Z5 Invoice No: KP/2026/1184 Date: 21-10-2026
- Supplier
- GSTIN
- Invoice number
- Invoice date
- Subtotal
- Tax total
- Total
What it does well
Confidence per field
Each value carries a score, and low scores route to a reviewer instead of straight through.
Side-by-side review
Reviewers see the highlighted source text next to each field and correct it in one click.
Validation rules
Totals are re-added, tax numbers checked for format and suppliers matched to master data.
Mixed inputs
Digital PDFs, phone photos, multi-page scans and email attachments share one pipeline.
Learns from fixes
Reviewer corrections are stored and used to improve the layouts that fail most often.
Audit trail
The original file, extracted values, confidence and every human change are kept together.
Questions
How accurate is document extraction?
It depends on your documents: clean digital invoices behave very differently from faded handwritten forms. We measure accuracy per field on a sample of your real documents before launch and set confidence thresholds so uncertain values are always checked by a person.
Can it read handwriting and Indian languages?
Printed text in Hindi, Tamil, Marathi and many other scripts is well handled by current OCR models. Handwriting is harder and varies a lot between writers, so we test it on your samples and usually keep a reviewer in the loop for handwritten fields.
Where do the extracted fields go?
Into whichever system needs them: your ERP, accounting software, claims system or a database. We build the connector, map each field, and hold back documents that fail validation until a reviewer has fixed them.