Nyatva builds document processing systems that extract structured data from invoices, purchase orders, forms and contracts without manual typing. The system validates what it reads against your own rules, flags anything uncertain for human review, and writes clean records straight into your accounting or ERP system.

Manual data entry is expensive twice over: once in salary, and again in the errors it introduces downstream. A processing pipeline reads the document, extracts the fields, checks them against expected values, and posts the result — at a fraction of the per-document cost.
Confidence scoring is what makes it safe. Every extracted field carries a confidence level, and anything below your threshold routes to a person instead of being silently posted. You choose where that line sits based on your own tolerance.
It handles the awkward reality of documents too: scans, photographs, inconsistent supplier layouts, multi-page attachments. We test against a sample of your real documents before quoting, so the accuracy figure you are given is measured on your paperwork rather than a vendor benchmark.
We discuss your goals, constraints and timeline. We ask a lot of questions, because a problem understood properly is usually cheaper to solve.
You receive a written proposal with scope, timeline and a fixed price. No hourly billing, no open-ended estimates.
We build with regular check-ins and working previews, so you see progress and can redirect us early rather than at the end.
We deploy, hand over the code and documentation, and stay available through the included support period.
Fixed-price build sized by document type and volume. Per-document running cost is typically a small fraction of the manual data-entry cost it replaces.
See pricing tiers and live currency conversionOn typical printed invoices Nyatva sees high-nineties field accuracy, but the honest answer depends on your documents, so Nyatva measures it on a sample of your real paperwork before quoting. Crucially, low-confidence fields are routed to a human rather than posted silently, so accuracy failures surface as review items instead of bad data.
Yes. Nyatva runs OCR before extraction so scans, faxes and phone photographs are handled, including skewed or slightly blurred pages. Very poor scans are flagged for human review rather than guessed at.
Yes, and that is the main reason to use an AI approach rather than template matching. The system extracts fields by meaning rather than fixed position, so a new supplier layout does not require a new template. Nyatva tests against your most awkward examples during the build.
Usually, yes. Nyatva writes extracted records into your accounting package, ERP or database using its API, or produces a validated import file where no API exists. The integration is confirmed during scoping so there are no surprises at the end.
A short call, no sales pitch. You'll leave with a clear recommendation and a fixed-price quote, whether or not you work with us.
Nyatva works with businesses in Hyderabad, Bengaluru, across India and worldwide.