Season 1 · Episode 135
Is OCR Dead? How Vision AI Is Redefining Text Extraction
Are specialized OCR tools obsolete? Herman and Corn explore how Vision Language Models are revolutionizing the way we turn images into data.
My Weird Prompts · Daniel Rosehill
January 2, 202620m 57s
Audio is streamed directly from the publisher (dts.podtrac.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
For decades, Optical Character Recognition was the "90% solved" problem that caused 100% of the headaches for developers and businesses. From the brittle pattern-matching of the 1970s to the manual correction workflows of the early 2000s, extracting text from messy documents was a notoriously unreliable process. In this episode, Herman and Corn dive into the "Transformer Revolution" and the rise of multimodal Vision Language Models (VLMs) like Gemini and Qwen. They discuss whether specialized OCR APIs are becoming obsolete, how AI handles complex scripts like Hebrew, and the dangerous new phenomenon of generative "hallucinations" in data extraction. Whether you're a developer or just curious about how your phone reads receipts, this deep dive reveals why the category of software we once called OCR is being completely swallowed by general-purpose AI.