* Via image (it uses OCR(Optical Character Recognition) to parse check content. The picture of a check must be contrast and well-lined (text must be perpendicular to right and left borders of an image) enough in order to be parsed well.)
* Via plaintext, copied from an E-Mail. Just copy&paste text from your email, pick a correct store type (autodetect is in my plans!) and parse.
* Via E-Mail file (.eml) **[!NOT IMPLEMENTED YET!]**
* Via QrCode on check (OFD (ОФД, Оператор Фискальных Данных in Russian)). **[!NOT IMPLEMENTED YET!]**
### Output
At the start of writing this program, I considered 3 or more output formats: csv, xlsx and ods. But throught the development I understood that most of modern table processor (i.e. electronic tables) can import csv much better than I'd be writing a shitty export module, adding more dependencies and shitty code to the codebase. So I decided that there's no need to use anything other than csv format.
To export, you need to specify an output file path and, if you wish, you can change order and/or rename columns, choose to print or not to print header (column names) and total.
# Installing
## Building
In general, you need to install following dependencies in order to build that app(I suppose you have install all the build necessaries such as cmake, make, gcc, git, etc...):
* tesseract (you also have to install appropriate for your needs language data)
* opencv
* curl
* nlohmann-json
* qt5
Please, do not hesitate to open an issue if you cannot build that. I will help and if you are building on a distro that is not listed there, we can append that list as soon as we will solve your problem!
### Linux
##### Arch Linux
I recommend using aur helper (I use yay) to install dependencies. Or, if you're masochist, you can build all by yourself /shrug
```
#Install dependencies
yay -S sudo cmake git coreutils base-devel eigen qt5-base mbedtls gtkglext cpr opencv opencv2 nlohmann-json tesseract tesseract-data-rus
