A comprehensive practical guide to optical character recognition, document AI pipelines, vision language models, and extracting structured data from paper, scans, and PDFs.
- 1 Photos of Paper to Useful Text: How OCR and Document Extraction Actually Work How optical character recognition and document AI actually turn smartphone paper photos into structured data: digital image processing, homography perspective rectification, neural text detection, and spatial layout parsing. Scheduled · January 14, 2027
- 2 LLM Vision vs Classic OCR: When to Read, When to Reason A deep benchmark comparing multimodal vision LLMs against classic OCR: token costs, latency blowouts, the numeric hallucination trap, and how to build an intelligent hybrid routing pipeline. Scheduled · January 15, 2027
- 3 Document AI Pipelines for PDFs and Scans: Architecture, Layout, and Chunks A deep dive into Document AI pipelines for PDFs and scans: vector vs raster architectures, multi-column layout analysis, why naive token chunking breaks RAG, and how to build a semantic spatial chunker in Python. Scheduled · January 16, 2027
- 4 Docling and Open Extraction Stacks: Local Document Processing Without Cloud Lock-In A hands-on guide to Docling and open-source document extraction stacks: compare cloud APIs against local vision models, parse complex tables without fees, and build an air-gapped PDF pipeline in Python. Scheduled · January 17, 2027
- 5 Extracting Tables, Invoices, and Structured Fields: Beyond Plain Text OCR A deep engineering guide to extracting structured tables and invoice fields: spatial ray tracing for key-value pairing, multi-line item clustering, locale normalization, and Pydantic arithmetic validation. Scheduled · January 18, 2027
- 6 Human-in-the-Loop Document Verification: Designing Failure-Proof Accuracy Gates A masterclass in human-in-the-loop document verification: multi-signal confidence scoring, arithmetic gauntlets, auditor UI ergonomics, and active learning feedback loops in Python. Scheduled · January 19, 2027
- 7 Document AI Privacy and Compliance: Sanitizing Secrets, PII, and Regulated Data A comprehensive guide to Document AI privacy and compliance: expose the cosmetic redaction illusion, burn pixels and bytecode permanently, build air-gapped zero-egress pipelines, and sanitize PII in Python. Scheduled · January 20, 2027
- 8 When a Scanner App and Good Lighting Are Enough: The Practical Field Guide A practical field guide to document capture: learn how scanner apps, diffused lighting, and 4-point homography eliminate the need for expensive multi-modal AI pipelines. Scheduled · January 21, 2027