As of September 2026, Latka tracks 4 software localization tools companies under $1M in annual revenue. They have combined revenues of $2M and employ 32 people.
Every company below sells software localization tools to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Software localization tools are designed to facilitate the adaptation of software applications to meet the linguistic, cultural, and functional requirements of specific markets. These tools streamline the process of translating text, adjusting user interfaces, and ensuring that applications resonate with local users by considering cultural nuances. The primary use cases include enhancing user experience for non-native speakers, expanding market reach, and ensuring compliance with local regulations and preferences. Typical features of software localization tools include translation memory, terminology management, real-time collaboration, and integration with development environments. Workflows often involve collaboration between translators, developers, and project managers to ensure that localized software meets the desired quality standards. Common buyer personas for these tools include localization managers, software developers, and marketing teams, as they play crucial roles in bringing products to various global markets.
Sorting: Highest -> Lowest
Showing 4 of 4 companies ranked by annual revenue.
Austria
Developer of a localization management platform. The company's platform offers continuous translation of software, mobile or web applications to integrate localization into the software development process.
Beijing, China
Developer of a Saas based language translation software created to provide artificial intelligence technology, big data technology and services that continue to create convenient language services for users. The company's software is based on an intelligent translation, language assets, auxiliary translation, retrieval and speech recognition, enabling users to get an online instant translation, computer-assisted translation and localization services for web portals.
United States
Localizely is a translation management system for agile teams that streamlines software localization. We believe translation management for apps should be easy, so the team can focus on things that bring business value. Developers can easily integrate translations into the apps build process, and managers can easily collaborate with translators. We built Localizely from our experience by working on software projects with 2 to 100 languages.
Italy
Provider of an open-source machine translation platform intended to overcome technology barriers that hinders the wide adoption of currently available machine translation software by end-users and language service providers. The company's open-source machine translation platform is a ready to install application, manages context automatically so that it will not require building domain-specific systems and provides real time data adaptation to content, enabling users to scale data and avoid expensive ad-hoc hardware installations.
Latka tracks 4 software localization tools companies under $1M in annual revenue. Together they generate $2M in annual revenue and employ 32 people.
Lingohub is the largest, with $823.9K in annual revenue, founded in 2012.
The average software localization tools company in this list makes $507.8K a year, across 4 companies with reported revenue.
Ranked by annual revenue, the leaders are Lingohub, New Tranx Information Technology, Localizely and ModernMT.
- Must provide features for translating software interfaces and user documentation - Should support multiple languages and regional dialects within those languages - Must facilitate collaboration between translators, developers, and project managers - Should offer tools for quality assurance and maintaining translation consistency - Not just for translation; must also support cultural adaptation of content - Must have integration capabilities with development and version control systems
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