Document AI & Process Automation
Invoices, contracts, medical records, product catalogs. We build pipelines that extract, classify, and route documents at scale, with validation loops and downstream automation included.
Overview
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.
Why choose this service
PDFs, scans, images, Excel, CSV. Multi-page, rotated, low-quality, all of it.
Tesseract and Google Vision for text extraction, LLMs for meaning, context, and structure.
Structured outputs with schema validation, confidence scores, and review queues for low-confidence cases.
Send to accounting, ERP, CRM, or wherever the data needs to go next.
How we work
Sample documents, expected fields, output schema, and accuracy requirements.
OCR strategy, LLM prompts, validation logic, and confidence thresholds.
Ship a working pipeline. Measure accuracy on real documents. Tune until it hits your bar.
Integrate with email, file drops, S3, or APIs. Route extracted data to the systems that need it.
Applications
Technologies
Case Study
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.
FAQ
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.
We surface them in a review queue. Humans review only the edge cases, not every document.
Yes, with the right OCR engine and pre-processing. Quality varies with the source.
Explore more
Tell us about your product. We'll tell you how we'd build it, and how fast.