Free converter 1.0 software for linux

Capacitor Converter is an extension which converts capacitor values.

Easy to use capacitor converter. Converts between pF, nF and uF in a flash. For those of you who didnt know you can make the toolbar disappear.

Just right-click(Windows) or ctrl+click(one button Macs) beside the address bar and select Capacitor Converter to make it disappear.

American Express Expense Report to QIF Converter project is a utility that converts American Express expense reports into QIF.
There are three main reasons:
1. American Express only offers QIF files for the last 6 months of activity whereas the expense reports go back 2 years. You can also run a report with a custom 1- to 12-month time period within 24 months of the current calendar month.
2. American Express QIF files have limited to no "categorization" whereas the expense report categorizes each transaction with a "Merchant Category" and "Subcategory".
3. American Express QIF files do not indicate which credit card in a multi-card account performed the transaction.
Main features:
- Inserts card owner and last 5 digits of the credit card in the memo field
- Reads config file for user defined rules so transactions can be automatically mapped to different accounts in your accounting software. Mapping can be based on:
- Credit card owner
- Vendor name
- AMEX "Merchant Category" and "Subcategory"
- Any combination of the above
- Sanitizes and cleans up vendor names
- Has the ability to add a prefix to all vendor names

YaHP Converter is a java library that can convert an HTML document into a PDF document.
YaHP is licensed under the LGPL (GNU).
Method Summary
void convertToPdf(java.lang.String content, IHtmlToPdfTransformer.PageSize size, java.util.List hf, java.lang.String urlForBase, java.io.OutputStream out)
Convert the document in content in a PDF file.
void convertToPdf(java.net.URL url, IHtmlToPdfTransformer.PageSize size, java.util.List hf, java.io.OutputStream out)
Convert the document pointed by url in a PDF file.
private java.net.URL copyToTemp(java.net.URL url)
Copy the file pointed to url in the temp directory
private void init()
initialize the classloader, and the transforme.
Enhancements:
- A NPE which occurred if the FOP_TTF_FONT_PATH property is not set was fixed.

Sound Converter project can convert sound files to other formats.

A simple sound converter application for the GNOME environment. It reads anything the GStreamer library can read, and writes WAV, FLAC, MP3, and Ogg Vorbis files.

Tamil Converters is a package containing five programs that convert Tamil text from ISCII to Unicode, Unicode to ISCII, ITRANS to ISCII, ITRANS to ISCII, and TSCII to Unicode.
All five programs provide fairly extensive checking of their input for errors and untranslatable codes. The ITRANS used is, by default, extended to include codes for the Tamil digits and to include HZ escapes (as defined in RFC 1843) that delimit the Tamil portion.
This allows processing of mixed Tamil and ASCII text. The extensions and use of HZ escapes can be disabled by command-line switches.
Enhancements:
- Several programs inadvertently omitted from the previous version of the package are now included.
- Several errors in the Makefile have been fixed.

Well... i apreciated the good job done by almusaihij http://www.kde-apps.org/content/show.php?content=53457
And ive read comment about too many buttons... Ive searched along in kde-apps and i found this app http://www.kde-apps.org/content/show.php?content=41272
So ive decided to take the best from those kommander script to realize a more "feeling" and clean gui.. I would like to thanx all this guys and the script code..hope i can help to contribuite in adding-code for future kommander interfaces..
It could be more improved... like multiple files converted... and a clean "map-format" ...because now is in a little bit of a mess...
If u like this prog check also:
-SoundKonverter
-Kvideoencoder
A big tnx to the Ubuntu italian community for support..;)
A special tan to almusaihij for makeing a Kubuntu .deb package and for sharing code and idea.
Enhancements:
- More improved code
- Added subtiles misc with avi file
- Added experimental controls

RIR to DNS converter is a tool to convert Regional Internet Registry data to a DNS country lookup zone. You can use it to build your own DNS zone for looking up country codes from IP addresses.

It uses data directly from RIPE, ARIN, APNIC, LACNIC, and AFRINIC. The data can be updated on a schedule of your choosing.

The input data comes from:

ftp://ftp.afrinic.net/pub/stats/afrinic/delegated-afrinic-latest
ftp://ftp.apnic.net/pub/stats/apnic/delegated-apnic-latest
ftp://ftp.arin.net/pub/stats/arin/delegated-arin-latest
ftp://ftp.ripe.net/pub/stats/ripencc/delegated-ripencc-latest
ftp://ftp.lacnic.net/pub/stats/lacnic/delegated-lacnic-latest

The input data format is described in:

http://www.apnic.net/db/rir-stats-format.html

The output is a BIND 9 zone file that can be used to look up country codes
in a similar fashion to in-addr.arpa. For example, to find out what country
203.30.47.58 is:

host 58.47.30.203.rir.example.com
58.47.30.203.rir.example.com has address 127.0.65.86

where 65 and 85 are ASCII for A and U, which means 203.30.47.58 is
in Australia (AU).

HOW TO USE IT

Just feed it the above delegated- -latest files into stdin and it will
spit out the zone file to stdout. The zone file will only have the IP addresses,
so you could $INCLUDE it into a zone file that contains NS records, SOA, $ORIGIN,
etc.

WHY USE IT

You dont need the resolution of MaxMinds GeoIP database, but you do want
something that is free and you want it kept up to date on a schedule that
you decide.

You could use this to block or tag email based on countries, block or redirect
visitors to your website based on end-user country, and so on. Be very
careful about blocking mail this way, though, as you may block legitimate
email. Instead of blocking outright, use it in a SpamAssassin rule to add
something to the spam level, based on where the email comes from.

HOW IT WORKS

The RIR files contain ranges of IP addresses, and indicate what CC each range is allocated to. At the simplest level, rir2dns just sorts the ranges then iterates
through the IPs in each range and generates a reverse-dns-style A record that
represents the country code.

HOW IT WORKS - IN DETAIL

Rather than iterate through each IP address, the program tries to skip through
entire classes at a time (256 IPs, 65536 IPs, etc). Rather than iterate
through each IP, the loop iterates through classes or IP ranges (whichever are
smaller at the loop control), using control-breaks to accummulate neighbouring
ranges where possible so that entire classes that are in the same country dont
generate huge numbers of records.

Firstly, IPs are considered to be 4-digit numbers, but in base-256. In other
words, each octet is dealt with as if it were a single base-256 digit. This
turns out to be convenient because optimisations of large chunks of IP space can be done by looking for places where least-significant base-256 digits are zero.

Next, IP ranges are broken down into the following sub-ranges:

Optional individual IP addresses (ie: 4 octets)
Optional A-class ranges (ie: 3 octets)
Optional B-class ranges (ie: 2 octets)
Optional C-class ranges (ie: 1 octet)
Optional B-class ranges (ie: 2 octets)
Optional A-class ranges (ie: 3 octets)
Optional individual IP addresses (ie: 4 octets)

Considering that there is a pattern here, Im sure theres an elegant way to
handle breaking this down into two loops (one reducing the octets and one
increasing the octets), but I cant be bothered, so Ill break it down into
seven loops. Kind of hard-coded, but at least its simple.

For ease of processing, the IP addresses are actually converted to 32-bit numbers, then back again. This simplifies mathematics and looping through ranges.

Thats pretty much it, really...

Note that currently there are about 80,000 RIR records between all five
registries. This takes about 35 seconds on a 2.4GHz P4 to process, and
generates a 26MB file with around 3/4 million lines (RRs). This causes BIND
to use about 100MB or so of memory, and on a slow machine will probably cause it to take too long to reply, while it searches the zone. That size zone can
take a minute or two to load, which is quite a while.

Basic algorithm:

Read & process RIR data:

Read RIR ranges
Sort RIR ranges by start IP address
Glue together contiguous ranges of the same country

For each range

Generate the IPs at the start of the range

Generate the A-classes at the start of the range

Generate the B-classes at the start of the range

Generate the C-classes in the middle of the range

Generate the B-classes at the end of the range

Generate the A-classes at the end of the range

Generate the IPs at the end of the range