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# Garbage In, Garbage Out: Engineering Reliable AI Document Extraction Pipelines


- **Date:** Friday, Jul 10, 2026
- **Time:** 14:20–14:50 (30 min)
- **Room:** Stage 8 - powered by Red Hat
- **Event:** World Congress 2026 Europe

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/100301-garbage-in-garbage-out-engineering-reliable-ai-document-extraction-pipelines)

## Description

Your OCR problem isn't really an OCR problem. It’s everything that happens before and after it. 

Most AI pipelines don’t fail because the model is bad. They fail because we send it garbage. We throw blurry mobile scans, crooked receipts, and massive blocks of unstructured text at an LLM and wonder why it’s expensive, inconsistent, and hallucinatory. 

 

In this talk, you’ll see how to design an end-to-end document extraction pipeline that: 

Validates and improves image quality at capture time 

Extracts structured, high-context data instead of dumping raw text 

Sends lean, intentional payloads to LLMs so they’re cheaper and more predictable 

## Speaker

### [Nazeer Saeed](https://www.wearedevelopers.com/@nazeer-saeed)

Staff Solutions Engineer at Apryse


## Related talks at this congress

- [Outclassing Frontier LLMs at Extracting Information](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1216-outclassing-frontier) — Etienne Bernard
- [Making Documentation AI-Ready: Preparing Your Docs for the LLM Era](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1232-making-documentation) — Edvin Teskeredzic
- [The LLM Evolution: From Sequence Imitation to Verifiable Reasoning](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1377-the-llm-evolution) — Kamen Petroff
- [High Quality AI Development](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1459-high-quality-ai) — David Tielke