I also want to try Qwen 3.5 plus. I have a doubt, I see almost same pricing for both Qwen and Claude code(the difference being the highest pro plan looks cheaper), and not for the lower plans. Am I missing something, when you say “cheaper” ??
What matters most is how well OCR and structured data extraction tools handle documents with high variation at production scale. In real workflows like accounting, every invoice, purchase order, or contract can look different. The extraction system must still work reliably across these variations with minimal ongoing tweaks.
Equally important is how easily you can build a human-in-the-loop review layer on top of the tool. This is needed not only to improve accuracy, but also for compliance—especially in regulated industries like insurance.
At instances where data accuracy is of paramount importance, i think a hybrid route of non-llm ocr for data parsing and LLMs for structured data extraction is the safe passage to tread on. Seen better results for LLMWhisperer(OCR)[1] and Latest Gemini.
Mobile phones from the past 15 years. Film cameras. Vinyl records (you have to see the look on today's kids' faces when they hear music from playing records).
Getting past 200 pages is the tough part. Hope I’ll get through. Also, getting used to so many characters with unfamiliar Russian names is slowing things down. Let's see.
Any tips and tricks for reading the magnum opus? Would help!