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Comparing MateCat and Swordfish Translation Editor

Which software is better? Here is a rundown of features and reviews to help you make your decision.


 
Name MateCat Swordfish Translation Editor
Review breakdown
(34 reviews)
(8 reviews)
Most helpful review
A very promising CAT tool
It is an outstanding CAT tool, I have worked with SDL, Fluency, OmegaT and other CAT tools and in most cases this one allows me to work faster using a much better quality automatic translation as a base for my work, I still have to learn more about it, but so far, even if it lacks of many features, looks like a very promising CAT tool.
18 out of 18 found this review helpful.


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Works perfectly !
SDL Trados just ignores the Mac users. It is expensive, the updates are expensive, innovations are rare, the technical support is not responsive. Swordfish is a multi-platform tool. It is relatively cheap, the updates are free. It is a rather new product. Innovations, improvements are coming in regularly. The technical support and the forum are super responsive. The TMX files are Trados compatible. No more SDL Trados for me !!!!!
11 out of 12 found this review helpful.


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Product description MateCat is an enterprise-level, online CAT tool designed to make post-editing and outsourcing easy and to provide a complete set of features to manage and monitor translation projects. Thanks to the integration of the largest collaborative translation memory and the best machine translation, you will always get from 10% to 20% more matches than with any other CAT tool and translate faster than ever. MateCat is the only CAT tool that empowers you to accept all translation projects, even when your translators are busy or you do not cover one of the language pairs required by your client. Use Matecat to outsource your extra projects in one click and keep full control by monitoring real-time progress and translation quality in your dashboard. You can use it for free at www.matecat.com Swordfish III is an advanced CAT (Computer Aided Translation) tool based on XLIFF 1.2 open standard, designed for demanding professional translators. Swordfish III supports exchanging TMX (Translation Memory eXchange), the vendor-neutral open XML standard for the exchange of Translation Memory (TM) data created by Computer Aided Translation (CAT) and localization tools, originally published by LISA (Localisation Industry Standards Association). Swordfish includes a super fast Internal database server and integrated support for RemoteTM in its two editions: LAN Server and Web Server. You can also use third party database engines like Oracle 10g, MySQL 5.x and Microsoft SQL Server 2005/2008 for storing TM and terminology data
Price free Options starting at €70.00
File formats 70 file format supported. Read more here Abiword Adobe InDesign Interchange (INX) Adobe InDesign IDML (CS4/CS5) DITA Maps HTML Microsoft Office 2007/2010 Microsoft Visio 2007/2010 MIF (Maker Interchange Format) OpenOffice/StarOffice 1.x and
License type Perpetual, open source Perpetual
Operating system Other, Windows, Android, Apple iOS, MacOS, Linux Linux, Windows
System requirements Google Chrome 30, or higher (on Windows, Linux and Mac OS X) Safari 1.7, or higher (on Mac OS X) Java 1.6/1.7 from Sun Microsystems or Oracle on Linux/Windows. Java 1.6 from Apple on Mac OS X. WebKitGTK+ 1.2.x is required to run on Linux systems.
Compatibility Supports for open standard file formats: XLIFF, TMX. Open API to connect to external applications (e.g. translation management systems) and machine translation systems. XLIFF Supported natively. Accepts version 1.0, 1.1 and 1.2 Uncleaned RTF Accepts uncleaned (tagged) RTF produced by Trados or Wordfast and generates uncleaned RTF from regular RTF files. TTX Seamless
Support and upgrades offered/included N/A - Software is free, Free upgrades to all future versions, Free technical support via support ticket center, Free community support Free upgrades to all future versions
Support and tutorial links http://www.matecat.com/support/
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Free trial
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Languages supported 90 languages are supported. Read more here
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