We’re basically drowning in invoices at this point. Thousands a month from what feels like a hundred different vendors, all formatted differently, and our current process just isn’t keeping up.
What OCR tools are people actually using for high-volume batch processing? We need something that can hook into our ERP without a massive custom integration project — and that doesn’t fall apart accuracy-wise once you’re pushing tens of thousands of documents a month. Real-world experience would be really helpful here, not just vendor feature lists.
Been through this scaling challenge and honestly, accuracy is almost the wrong thing to lead with. Even 98% sounds fantastic until you realize that on 10,000 invoices a month, you’re still manually touching 200 exceptions. The math gets uncomfortable fast.
The questions I’d actually be asking: can it handle your volume within your batch windows, how does it deal with exceptions, and does it speak your ERP’s API? Those matter more than headline accuracy numbers.
Template-based systems are a real headache at scale with diverse vendors. Every new vendor format means building and maintaining another template — it becomes its own job. What you want is something AI-based that adapts. We use Lido for this and it handles a pretty wide variety of vendor formats without reconfiguring anything per vendor. Other tools worth looking at depending on your ERP: ABBYY and Rossum come up a lot in these conversations. Lido also exports to Excel for anything we route outside the main system, which has been handy.
For rollout — don’t try to flip everything at once. Start with around 10% of volume, validate accuracy and throughput under real conditions, then ramp. Budget 4-6 weeks for integration testing. The time savings are real once it’s running — teams usually report somewhere in the 40-60% range for AP processing time — but the first few weeks are tuning work, not savings.
Ha, funny timing indeed. We just wrapped up something similar actually. Rossum was on our shortlist too — the integrations are genuinely impressive. We ended up going a different direction mainly because of cost but if your team is already living in Google Sheets I totally get why that’d be the deciding factor. Non-negotiables are non-negotiable lol.
This. Cannot stress this enough. We ignored scan quality for way too long and kept blaming the software when honestly half the problem was on our end. 300 DPI is the floor, not the goal. We pushed to 400 on anything with small print and the difference was noticeable. People always want to jump straight to “which tool is best” but if your input is garbage the tool doesn’t really matter.
Just wanted to add this because it took us by surprise — same thing here with email. I think we just assumed it would be supported and didn’t even think to ask during the demo. Ended up being a dealbreaker with the first vendor we tried. Definitely worth putting it on your checklist upfront rather than finding out three weeks into an implementation.
Okay, so everyone’s talking about how to scale batch invoices, and there’s one super simple thing I swear nobody ever brings up… and that’s setting up a dedicated email address for invoices before you even touch any automation. Think ap@yourcompany.com, or invoices@yourdomain.com – something specific.
It sounds so basic, right? But man, it makes a world of difference. I’ve seen so many teams try to automate things with invoices just landing in a general inbox, or worse, scattered across multiple people’s emails. It creates chaos, honestly. Your systems get confused, you miss stuff, and suddenly that ‘automation’ you built is just pushing around a bigger mess.
Having one single, clean stream for all incoming invoices? It’s a game-changer for consistency. Your OCR tools, your workflows, your approval systems – they all have one reliable source to pull from. It makes the whole pipeline incredibly cleaner and way more robust. Seriously, do this first. You’ll thank yourself later when things are humming along smoothly instead of you constantly chasing down stray documents.