I work with a bunch of financial advisors and every month we get a pile of client bank statements as PDFs. We need transaction-level data in CSV so we can pull it into our analysis tools — amounts, dates, payees, the works.
I’ve tried a handful of PDF-to-CSV converters and they’re all kind of a mess. Columns misalign, dates format inconsistently, I end up spending almost as much time cleaning the output as I would have just typing it in. Is there something that actually handles this well without needing manual cleanup every time? Statements come from a bunch of different banks so consistency across formats would be a big plus.
This is a frustrating one because it looks simple on the surface but bank statements are surprisingly tricky — the structure varies a lot between institutions and basic PDF converters don’t understand what they’re looking at, so you get that messy raw text output you’re describing.
First thing I’d check: do any of your clients’ banks offer native CSV export? Seriously, it’s easy to overlook but a lot of banks have this buried in their online portal and it sidesteps the whole problem. Worth a 5-minute check before setting up any pipeline.
If you’re stuck with PDFs from multiple banks, the approach depends on how much variety you’re dealing with. If it’s mostly the same 2-3 banks with consistent layouts, honestly a Python library like pdfplumber or camelot can get you pretty far with some scripting — not glamorous but effective. If you’re comfortable with that route it’s worth exploring.
For more variety without wanting to write code — intelligent document processing tools handle this better than generic PDF converters because they’re actually trying to understand the document structure rather than just extracting text. I’ve seen Lido used for this (it’s more commonly pitched for invoices but the underlying approach works on financial statements too), and there are fintech-focused tools that specialize in exactly this use case. The tradeoff is setup time vs. ongoing maintenance.
My honest recommendation: pull together 5-6 statements from different banks, including the most visually unusual ones you get, and test whatever tool you’re considering against those specifically. If the output looks clean without manual intervention, you’re good. If not, no amount of vendor promises will fix that in production.
Same boat here. We’re a ~200 person team and we’re processing something like 1200 invoices a month, so accuracy really matters for us. Tried Tesseract first because the price tag (or lack thereof) was obviously appealing, but we were getting maybe 60-70% on anything that wasn’t pristine. That’s honestly worse than just doing it by hand when you factor in the correction time. We moved to ABBYY and jumped up to 95%+. Wish we’d just done it sooner instead of wasting a couple months on the free option.
10 years in AP and I genuinely can’t believe how different this feels compared to previous automation attempts we’ve made. Every time we tried template-based OCR it’d work great for like three months and then a vendor would tweak their invoice layout and suddenly everything’s breaking. The amount of time we’d spend rebuilding templates was insane. This is the first setup we’ve had where I’m not dreading the next vendor rebrand.