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Document Automation Pipeline

From messy PDFs to clean, validated data

Document Automation Pipeline

OCR, extraction, approvals, and exports - built for reliability and audit trails.

Timeline

3-5 weeks

Category

Document automation

Stack

Python, OCR, queue workers, Postgres, S3, admin UI

Delivered by

Lowkey Tech

Type

Sample case study

Overview

A document pipeline that automates extraction and keeps humans in the loop for edge cases.

What we built

Intake via email/upload/S3 with automatic classification

OCR + extraction (rules first, LLM fallback for unstructured docs)

Validation UI, exception queue, and role-based approvals

Exports to accounting/ERP via CSV or API with retries

Audit trail for every field change and approval

Value delivered

Cut manual data entry and reduce processing time

Reduce errors with validation gates and exception handling

Improve turnaround time and operational visibility

Scale volume without adding headcount

Outcomes

What this delivers in the real world.

Automation

Straight-through processing for clean documents

Reliability

Queues, retries, and dead-letter handling

Compliance

Approvals + audit trail by default

Ops

Exception queue for fast human review

Demo

See Document Automation Pipeline in action.

Get a tailored walkthrough for your team.

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Document Automation Pipeline | Lowkey Tech