AUTOMATION AND TECHNOLOGY

"Zażółć gęślą jaźń" – Or Why Your OCR Still Stumbles Over Polish Diacritics?

Are you tired of manually correcting "faktvra" to "faktura" and guessing whether the system read an "ł" or an "l"? Discover why Western tools don't understand our alphabet and how much these "minor" errors in corporate processes are really costing you.

TL;DR

  • The Problem: Most cheap OCR tools are trained on the English language, which makes them treat Polish characters (ą, ę, ś, ć) as errors or smudges.
  • The Cost: Manually correcting typos after an automated process defeats the purpose of automation and increases the risk of accounting errors (e.g., a wrong bank account number).
  • The Solution: You don't have to learn to live with errors. Dokum.ai was built specifically for Polish documents and flawlessly recognizes our specific grammar and invoice layouts.
  • The Conclusion: True automation is the kind you don't have to supervise. It's time for a tool that speaks Polish.

Know the feeling? You upload an invoice scan into a program that was supposed to "do the work for you." You open the resulting file, take a sip of coffee, and... facepalm.

Instead of "Spółka z ograniczoną odpowiedzialnością", you see "Spolka z ograniczona odpowiedzialnoscia". Or worse: Sp0lka z.ogr_niczona.

It was supposed to be automated, but you end up as a free proofreader, manually adding dashes over the "ó" and tails (ogonek) to the "ą". Why, in the age of artificial intelligence that paints pictures and writes poetry, is simply reading a Polish invoice still a Mount Everest for many programs?

Because Most Programs "Think" in English

Let's face it. Most cheap or free OCR (Optical Character Recognition) tools are created in the West. They are trained on documents from the US, the UK, or Germany. To such an algorithm, the Polish alphabet is utterly exotic.

  • The letter "ł"? To the program, it's just a smudged "t" or "l".
  • The tail on the "ę"? That's probably an ink stain or a scanner glitch—so the system "kindly" removes it.

The result is text that looks like someone typed it on a keyboard without Polish characters in 1998.

intage typewriter typing a document with missing Polish diacritics, symbolizing the manual corrections needed after using poor OCR software.


"One Tail, Huge Problem" – Or Why This Costs You Money

You might think: "Ok, they're just typos. I'll fix it in a minute." For one invoice? Sure. For fifty a month? That's almost an hour of wasted time.

But the problem goes deeper. If your OCR system doesn't understand Polish characters, then:

  • You can't search for documents. Try finding an invoice by typing the word "Błąd" (Error) into the search bar when the system saved it as "Blad" (Pale). Good luck.
  • You risk data errors. If the system confuses "Łukasz" with "Lukasz" in the transfer details, the bank might reject it. If it misreads the contractor's name, you'll have a mess in your CRM.
  • You lose your temper. And technology is supposed to free you from that, right?

Dokum.ai – The OCR That Speaks Your Language

When creating Dokum.ai, we started with a simple premise: Polish documents require a Polish approach. We don't use generic, "one-size-fits-all" engines that get lost at the first sight of a "Ś". Our algorithms were trained on thousands of Polish invoices, contracts, and official letters.

Dokum.ai understands the context:

  • It knows there is an "ł" in the word "Płatność" (Payment).
  • It distinguishes "Złoty" from "Zloty".
  • And most importantly—it handles the tables that can be truly creative in Polish invoices.

Stop Correcting the Machine

Automation only makes sense if it actually works. If you have to check every line after your OCR program, that's not automation. It's just a digital typewriter with typos.

Give your eyes and your keyboard a rest. Upload your documents to Dokum.ai and see what it's like when technology finally understands you. Literally.