I want to use a barcode-scanner (+ data matrix) to perform an input in an existing excel file (*.xlsx). The content of the scanned code should be devidied into two cells, split accoring to a tabulator symbol.
I have generated the following data matrix with the content Hans<tab>Müller where <tab> equals the decimal character code of 9 in ASCII.
Scanning the matrix in Notepad++ (focus in Notepad, scanning the matrix) results in the correct result. But if I try the procedure in excel (selecting a cell, scanning the matrix), the input is HansMüller. I expected "Hans" in the selected cell and "Müller" in the cell next to the selected one. So, what am I doing wrong?
How can I read the content of a data matrix into multiple cells in excel?
Update:
I am using the scanner ElmiScan ECR14 from elmicron. The website http://codecorp.com/ConfigGuide/?product=CR1400 provides a list of all configuration "codes" (CR1400 equalls ECR14).
If I enable Control Character Input - Ctrl + Character as suggested by Brian, Excel reads HansMÄller and still ignores the tab.
I am getting "Hans<tab>Mller" in plain old Notepad, and HansMller in Excel indicating that Excel is interpreting the <CTRL-I> as a "let's start typing
in italics now". My system is probably dropping the "ü" because of my U.S. keyboard.
When I copy from Notepad into Excel, however the embedded tab character has the desired result and advances to the next cell. This indicates to me that the scanner is in the default state of "Disable Function Key Mapping" and has interpreted the <CTRL-I> you have in the Datamatrix barcode as the keystroke
<CTRL-I> instead of the <TAB> key.
The solution is to place the scanner into "Enable Function Key Mapping" mode, which is not the default mode by scanning the Function Key Mapping barcodes in your scanner manual.
EDIT: So, I've reviewed the website and 1400 Configuration Guide and needless to say, they disagree. So it looks like there are a few different options for setting keyboard language support, which is where I think the problem lies.
I would start with the Config Guide and test modes B4, D3, D2, C3, B2, and B3 in that order.
Then I would move onto the website based guide and check out each of the following modes just to be sure.
The fact that after your previous experiment the "ü" turns into a "Ä" tells me we are on the right track. One of these settings should produce an ASCII <TAB> keyboard character for Excel. If none of these works, I would contact technical support at Elmicron.
Related
I am trying to extract data from this Japanese PDF using tabula-py (and tabula-java), but the output is gibberish. In both tabula-py and tabula-java, the output isn't human readable (definitely not Japanese characters), and there are no no error/warning messages. It does seem that the content of the PDF is processed though.
When using the standalone Tabula tool, the characters are encoded properly:
Searching online in the tabula-py and tabula-java documentation, and below are suggestions I could find, but these don't change the output.
Setting the -Dfile.encoding=utf8 (in java call to tabula-py or tabula-java)
Setting chcp 65001 (in Windows command prompt)
I understand Tabula and tabula-java (and tabula-py) use the same library, but is there something different between the two that would explain the difference in encoding output?
Background info
There is nothing unusual in this PDF compared to any other.
The text like any PDF is written in authors random order so for example the 1st PDF body Line (港区内認可保育園等一覧) is the 1262nd block of text added long after the table was started. To hear written order we can use Read Aloud, to verify character and language recognition but unless the PDF was correctly tagged it will also jump from text block to block
So internally the text is rarely tabular the first 8 lines are
1 認可保育園
0歳 1歳 2歳3歳4歳5歳 計
短時間 標準時間
001010 区立
3か月
3455-
4669
芝5-18-1-101
Thus you need text extractors that work in a grid like manner or convert the text layout into a row by row output.
This is where all extractors will be confounded as to how to output such a jumbled dense layout and generally ALL will struggle with this page.
Hence its best to use a good generic solution. It will still need data cleaning but at least you will have some thing to work on.
If you only need a zone from the page it is best to set the boundary of interest to avoid extraneous parsing.
Your "standalone Tabula tool" output is very good but could possibly be better by use pdftotext -layout and adjust some options to produce amore regular order.
Your Question
the difference in encoding output?
The Answer
The output from pdf is not the internal coding, so the desired text output is UTF-8, but PDF does not store the text as UTF-8 or unicode it simply uses numbers from a font character map. IF the map is poor everything would be gibberish, however in this case the map is good, so where does the gibberish arise? It is because that out part is not using UTF-8 and console output is rarely unicode.
You correctly show that console needs to be set to Unicode mode then the output should match (except for the density problem)
The density issue would be easier to handle if preprocessed in a flowing format such as HTML
or using a different language
[![enter image description here][4]][4][![enter image description here][5]][5]I have a PDF that has tabular data that runs over 50+ pages, i want to extract this table into an excel file using Automation Anywhere. (i am using community version of AA 11.3). I watched videos of the PDF integration command but haven't had any success trying this for tabular data.
Requesting assistance.
Thanks.
I am afraid that your case will be quite challenging... and the main reason for that are the values that contains multiple lines. You can still achieve what you need, and with good performance, but the code itself will not be pretty. You will also be facing challanges with Automation Anywhere, since it does not really provide the right tools to do such a thing and you may need to resort to scripting (VBScripts) or Metabots.
Solution 1
This one will try to use purely text extraction and Regular expressions. Mainly standard functionality, nothing too "dirty".
First you need to realise how do the exported data look like. You can see that you can export to Plain or Structured.
The Plain one is not useful at all as the data is all over the place, without any clear pattern.
The Structured one is much better as the data structure resembles the data from the original document. From looking at the data you can make these observations:
Each row contains 5 columns
All columns are always filled (at least in the visible sample set)
The last two columns can serve as a pattern "anchor" (identifier), because they contain a clear pattern (a number followed by minimum of two spaces followed by a dollar sign and another number)
Rows with data are separated by a blank row
The text columns may contain a multiline value, which will duplicate the rows (this one thing makes it especially tricky)
First wou need to ensure that the Structured data contain only the table, nothing else. You can probably use the Before-After string command for that.
Then you need to check if you can reliably identify the character width of every column. You can try this for yourself if you copy the text into Excel, use the Text to Columns with the Fixed Width option and try to play around with the sliders
The you need to try to find a way how to reliably identify each row and prepare it for the Split command in AA. For that you need to have a delimiter. But since each data row can actually consists of multiple text rows, you need to create a delimiter of your own. I used the Replace function with Regular Expression option and replace a specific pattern for a delimiter (pipe). See here.
Now that you have added a custom delimiter, you can use the Split command to add each row into a list and loop through it.
Because each data row may consists of several rows, you will need to use Split again, this time use the [ENTER] as delimiter. Now you need to loop through each of the text line of a single data line and use the Substring function to extract data based on column width and concatenate them to a single value that you store somewhere else.
All in all, a painful process.
Solution 2
This may not be applicable, but it's worth a try - open the PDF in Microsoft Word. It will give you a warning, ignore it. Word will attempt to open the document and, if you're lucky, it will recognise your table as a table. If it works, it will make the data extraction much easier an you will be able to use Macros/VBA or even simple Copy&Paste. I tried it on a random PDF of my own and it works quite well.
I am facing a weird problem.
I have extracted data from an Excel file. It should contain an IBAN account number.
Then I tried to analyze the set of account numbers (which the source guarantees to be good) with a Java library.
To keep the scope of the question narrow, I can't explain the following. The below strings are different
03069
03069
The first is a copy & paste from the Excel file, the second is handwritten. Google returns different results for abi [above number] and in fact in the second case I can find that it is the bank code for Intesa Sanpaolo bank (exact page displaying the ABI code, localized, here).
So, to keep the scope narrow: how is that possible? Is it something to do with the encoding?
Try it yourself: do CTRL+F and try type "030", it will select both lines. Now type 6, it will match only the 2nd line.
Same happened in Notepad++
There's an U+200B ZERO WIDTH SPACE in between 030 and 69 in the first text.
Paste the text in https://www.branah.com/unicode-converter for example, or edit in a hexadecimal capable editor.
The solution for cleaning such strings could be for example to whitelist characters, so replace everything that isn't A-Z0-9 will be scrubbed.
I have created a job in talend open studio for data integration v5.5.1.
I am trying to find matches between two customer names columns, one is a lookup and the other contain dirty data.
The job runs as expected when the customer names are in english. However, for arabic names, only exact matches are found regardless of the underlying match algorithm i used (levenschtein, metaphone, double metaphone) even with loose bounds for the levenschtein algorithm min 1 max 50).
I suspect this has to do with character encoding. How should I proceed? any way I can operate using the unicode or even UTF-8 interpretation in Talend?
I am using excel data sources through tFileInputExcel
I got it resolved by moving the data to mysql with a UTF-8 collation. Somehow Excel input wasn't preserving the collation.
I'm finding it difficult to parse a pdf file that's created in a non-english language. I used pdfbox and itext but couldn't find anything in there that could help parse this file. Here's the pdf file that I'm talking about: http://prapatti.com/slokas/telugu/vishnusahasranaamam.pdf The pdf says that it's created use LaTeX and Tikkana font. I have Tikkana font installed on my machine, but that didn't help. Please help me in this.
Thanks, K
When you say "parse PDF files", my first thought was that the PDF in question wasn't opening in various PDF viewers & libraries, and was therefore corrupt in some way.
But that's not the case at all. It opens just fine in Acrobat Reader X. And then I see the text on the page.
And when I copy/paste that text from the first page, I get:
Ûûp{¨¶ðQ{p{¨|={pÛû{¨>üb¶úN}l{¨d{p{¨> >Ûpû¶bp{¨}|=/}pT¶=}Nm{Z{Úpd{m}a¾Ú}mp{Ú¶¨>ztNð{øÔ_c}m{ТÁ}=N{Nzt¶ztbm}¥Ázv¬b¢Á
Á ÛûÁøÛûzÏrze¨=ztTzv}lÛzt{¨d¨c}p{Ðu{¨½ÐuÛ½{=Û Á{=Á Á ÁÛûb}ßb{q{d}p{¨ze=Vm{Ðu½Û{=Á
That's from Reader.
Much of the text in this PDF is written using various "Type 3" fonts. These fonts claim to use "WinAnsiEncoding" (Also Known As code page 1252), with a "differences" array. This differences array is wrong:
47 /BB 61 /BP /BQ 81 /C6...
The first number is the code point being replaced, the second is a Name of a character that replaces the original value at that code point.
There's no such character names as BB, BP, BQ, C9... and so on. So when you copy-paste that text, you get the above garbage.
I'm sorry, but the only reliable way to extract text from such a PDF is OCR (optical character recognition).
Eh... Long shot idea:
If you can find the specific versions of the specific fonts used to generate this PDF, you just might be able to determine the actual stream contents of known characters converted to Type 3 fonts in this way.
Once you have these known streams, you can compare them to the streams in the PDF and use that to build your own translation table.
You could either fix the existing PDF[s] (by changing the names in the encoding dictionary and Type 3 charproc entries) such that these text extractors will work correctly, or just grab the bytes out of the stream and translate them yourself.
The workflow would go something like this:
For each character in a font used in the form:
render it to PDF by itself using the same LaTeK/GhostScript versions.
Open the PDF and find the CharProc for that particular known character.
Store that stream along with the known character used to build it.
For each text byte in the PDF to be interpreted.
Get the glyph name for the given byte based on the existing encoding array
Get the "char proc" stream for that glyph name and compare it to your known char procs.
NOTE: This could be rewritten to be much more efficient with some caching, but it gets the idea across (I hope).
All that requires a fairly deep understanding of PDF and the parsing methods involved. But it just might work. Might not too...