<!-- SC_OFF --><div class="md"><p>So far I have only tried Qwen and olmOCR. My biggest struggle at the moment has been extracting a date that is oriented in a title block, where
<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I’ve built a fairly flexible RAG pipeline that was initially designed to handle any type of document (PDFs, reports, mixed
<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I'm a Computer Engineering student working on my final degree project (TFG), and I have around 300 hours to complete it.</p>
<!-- SC_OFF --><div class="md"><p>The way PaddleOCR designed their API, it moves memory too much back and forth between RAM and VRAM, which makes is too slow for my use case. Is
<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I’m pretty new to the AI engineering side of things, but I've recently been tasked with a massive digitization project at
<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1t0txco/why_is_table_extraction_with_vlm_models_still/"> <img alt="Why Is Table Extraction with VLM
<!-- SC_OFF --><div class="md"><p>Working on parsing messy PDFs — fillable contract forms, but with all manner of non-savvy handling... partly filled with Acrobat, handwritten
<!-- SC_OFF --><div class="md"><p>Tesseract.js no lo hace y lo ve como líneas, incluso si el texto está en diferentes columnas...</p> <p>Bettee if works for both pdfs and
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