Stop Manual Data Entry: How I Pushed My OCR Accuracy to 99%
From dealing with "alphabet soup" errors to building a fully automated pipeline, here is my personal field guide to painless text extraction.
Read more →Latest insights and updates about OCR technology and image processing
From dealing with "alphabet soup" errors to building a fully automated pipeline, here is my personal field guide to painless text extraction.
Read more →I used to be a 'self-host everything' extremist. But after a year of maintaining a local Tesseract server, I realized I was wasting my life on the wrong problems.
Read more →I sat down and calculated the 'Developer Tax' we were paying for manual data entry. The numbers were so bad that my boss thought I was joking. Here is the breakdown.
Read more →I used to spend my Fridays re-typing paper invoices into spreadsheets. Then I wrote a 50-line Python script that did it in seconds. Here is the full story of how I killed manual data entry in my workflow.
Read more →Traditional OCR was a 'dumb' tool that saw shapes but didn't understand words. By adding Large Language Models (LLMs) to the pipeline, we’ve moved from reading text to understanding intent.
Read more →Stop blaming your API. If your OCR is failing, it’s probably your fault. Here are the 3 pre-processing tricks I use to get production-ready results every time.
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