We’re working through a digitization project at our hospital and it’s proving trickier than expected. A lot of our patient intake forms and clinical notes are handwritten — mix of print and cursive, varying quality, different staff members’ handwriting. Standard OCR tools we’ve demoed have been pretty hit or miss, especially on anything cursive. Has anyone actually solved this at scale for a healthcare setting? What worked?
Been there with handwriting recognition — it’s genuinely hard, and anyone who tells you otherwise is probably selling something. Standard OCR engines like Tesseract are basically not usable for messy handwritten notes. You’re looking at maybe 40-60% accuracy on real-world clinical handwriting, which creates more cleanup work than it saves.
Google’s Cloud Vision API has gotten noticeably better at this and will get you into the 70-85% range on legible handwriting. If your team is comfortable with cloud APIs it’s worth a look. For mixed print-and-handwriting documents, some of the AI-based document tools handle it reasonably well — Lido is one that comes up, though I’d say it’s stronger on structured printed docs than pure freeform notes. Worth testing on your actual samples.
For healthcare specifically though, I’d lean toward vendors who’ve trained their models on medical handwriting — things like AMT or healthcare-specific OCR platforms. The domain-specific training makes a real difference when you’re dealing with medical shorthand and terminology.
Here’s the thing nobody loves to hear: handwriting quality is the biggest variable. Cursive is dramatically harder than print. Rushed pen pressure, skewed pages, multiple languages — all of it tanks accuracy. So honestly, my practical recommendation for hospital forms is a hybrid approach. Automate the structured parts — checkboxes, printed fields, pre-filled sections — and build in a human review step for the handwritten portions. It’s not as glamorous as full automation, but for medical records you really can’t afford to let errors slip through unchecked.
Jumping in here because I think this is an important nuance that gets glossed over a lot. ‘No template needed’ doesn’t automatically mean ‘zero setup.’ Even the AI-based tools we’ve tried needed some tuning to handle our specific document types well — like, it still took us a couple weeks to get things dialed in. It’s definitely less painful than maintaining a library of templates, don’t get me wrong, but I wouldn’t go in expecting it to be truly plug-and-play out of the box. Just set realistic expectations and you’ll be fine.
We’re roughly the same size — maybe 60 employees — and yeah, Tesseract was our first stop too because, well, free. But the accuracy was just not there for anything that wasn’t a clean, typed document. Handwritten stuff or even just slightly crumpled invoices? Forget it. We were probably around 65% on our worst docs. Ended up moving to Lido a few months back and it’s been night and day. Sitting comfortably above 95% now and the team has basically stopped complaining about manual corrections, which is honestly the real win.
Oh man, we just went through this whole evaluation process ourselves, probably about ten months back now. It was a pretty intense couple of weeks, actually. We ran Lido and Tesseract side-by-side, really putting them through their paces with our specific handwritten documents.
For what we needed, Lido definitely came out on top when it came to accuracy. It just handled the nuances of our handwriting much better. Tesseract, on the other hand, had some seriously attractive pricing, which was a huge draw and made the decision tougher than it sounds!
In the end, we bit the bullet and went with Lido. Accuracy was just the absolute priority for us, so we had to make that call despite the cost difference. Hope that helps a bit!