data · open source

Document Processing & IDP with PostgreSQL

Document Processing & IDP built on PostgreSQL, chosen where it genuinely fits, and swapped where it does not.

Category
data
Vendor
Open source
Alternatives we also use
7

Why PostgreSQL for this

Every extracted field carries a confidence score, and anything below threshold goes to a human queue. That single design choice is what makes document automation safe to trust with money.

PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For document processing & idp that matters because the failure modes of this kind of system tend to cluster exactly there.

The honest trade-off: genuine analytical workloads past a certain scale belong in a warehouse. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

You own the code, the models where they are open-weight, and the documentation to run it without us.

The honest assessment

What it is
Our default database, relational, JSON, full-text and vector in one engine.
Strongest at
it handles far more workload than teams expect, with one operational model
Trade-off
genuine analytical workloads past a certain scale belong in a warehouse
Category
data

We are not a reseller for PostgreSQL and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.

What is included

  • Ingestion from email, scan, portal and API
  • Extraction with a confidence score on every field
  • Review queue for anything below threshold
  • Validation against your master data
  • Straight-through processing rate reporting
  • Integration with ERP and accounting systems

Questions

What accuracy do you achieve?

Field-level accuracy varies by document quality and field type. We report per-field accuracy and a straight-through processing rate, and route low-confidence extractions to review rather than guessing.

Can it handle handwriting?

Partially, and honestly it depends on the handwriting. We measure it on your actual documents and set the confidence threshold accordingly rather than claiming it is solved.

Will it integrate with our ERP?

Yes, SAP, Oracle, Tally, Zoho, NetSuite and most others, either through supported APIs or a controlled staging table.

Alternatives for document processing & idp

Same capability, different stack. Each page states its own trade-off.

Building with PostgreSQL?

Bring us the workload and we will tell you whether this is the right stack for it.

Or email bd@dtrasglobal.com · call +91 74118 77878