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Document AI & Process Automation

Turn documents into data, and data into action

Invoices, contracts, medical records, product catalogs. We build pipelines that extract, classify, and route documents at scale, with validation loops and downstream automation included.

01Overview

What we deliver

Most business workflows start with documents: invoices, reports, catalogs, transcripts. We build pipelines that ingest mixed formats (PDF, images, Excel, scans), extract structured data using OCR and LLMs, validate the output, and hand it to the next system.

02Why choose this service

Key benefits

01

Handles any format

PDFs, scans, images, Excel, CSV. Multi-page, rotated, low-quality, all of it.

02

OCR plus LLM hybrid

Tesseract and Google Vision for text extraction, LLMs for meaning, context, and structure.

03

Validation built in

Structured outputs with schema validation, confidence scores, and review queues for low-confidence cases.

04

Integrates downstream

Send to accounting, ERP, CRM, or wherever the data needs to go next.

03How we work

Our process

01

Document Audit

Sample documents, expected fields, output schema, and accuracy requirements.

02

Pipeline Design

OCR strategy, LLM prompts, validation logic, and confidence thresholds.

03

Build & Benchmark

Ship a working pipeline. Measure accuracy on real documents. Tune until it hits your bar.

04

Deploy & Automate

Integrate with email, file drops, S3, or APIs. Route extracted data to the systems that need it.

04Applications

Common use cases

01Invoice processing with vendor matching and accounting integration
02Product catalog consolidation from images, PDFs, and spreadsheets
03Medical transcription and clinical report generation
04Real estate exposé and property description generation
05Construction schedule analysis and weekly reporting

05Technologies

Tools we use

Google Cloud VisionTesseract OCROpenAI GPT-4oGemini VisionPyMuPDF / pdf-libPyPDF / pdf2picAWS LambdaPython / FastAPI

06Case study

Franck Muller

Franck Muller

Multi-format

product ingestion, one dashboard

The problem

Luxury watch product data was scattered across images, PDFs, and Excel files, consolidated manually by the team.

The result

Full-stack platform with OCR and computer vision pipelines that extract structured product records, surfaced through an admin dashboard for review.

Read the full case study

07FAQ

Common questions

How accurate is the extraction?

Depends on document quality and schema complexity. We benchmark on your real documents and iterate until we hit your target, usually 95% or better for structured fields.

What about low-confidence cases?

We surface them in a review queue. Humans review only the edge cases, not every document.

Can this handle handwritten or scanned documents?

Yes, with the right OCR engine and pre-processing. Quality varies with the source.

Trusted in production by

Maxiom
MindTime
Franck Muller
Backyard Design
TrueClaim
Bank Marketing Center
True Terpenes
Restaurant SupplyRestaurant Supply
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How can we help you?

We'll tell you how we'd build it, and how fast.

Book a call