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Top 1 Machine Translation Software Companies With $5M–$10M Revenue (November 2026)

As of November 2026, Latka tracks 1 machine translation software companies with $5M–$10M in annual revenue. They have combined revenues of $5.6M and employ 51 people.

Every company below sells machine translation software 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.

What Machine Translation Software Companies do

Machine translation software refers to programs that automatically translate text from one language to another using algorithms. These tools are primarily used in scenarios where quick translations are needed, such as for personal communication, web content, and user-generated content. They often leverage various techniques, including rule-based, statistical, and neural machine translation methods, to enhance translation accuracy and efficiency. Typical features of machine translation software include support for multiple languages, integration with other software applications (like content management systems), and capabilities for translating various content types, such as text, documents, and websites. Common buyer personas include content creators, marketers, and global businesses looking to reach a wider audience without the high costs associated with human translation.

Companies
1
Revenue
$5.6M
Funding
-
Employees
51

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Machine Translation Software Companies With $5M–$10M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Wordly logo
Wordly

Los Altos, California, United States

Wordly provides AI-powered translation and captions for attendees at in-person, virtual, and hybrid meetings and events. Translate speakers into dozens of languages without the need for human interpreters or special equipment. Attendees select their preferred language and use their phone, tablet, or computer to access the live translation. It's available on-demand 24/7, works with all major video conferencing and virtual platforms, and does not require any IT support to implement. Wordly makes it fast, easy, and affordable to increase inclusivity, engagement, and learning. Over 1,500 businesses and 3 million attendees have used Wordly across tech, financial services, healthcare, manufacturing, education, and non-profit sectors. Wordly is sold both on a pay as you go project basis and money saving annual subscriptions. Use Wordly for industry conferences, customer webinars, sales kickoff meetings, partner training, employee onboarding, and much more.

Revenue
$5.6M
Year founded
2017
Team size
51

Frequently asked questions about Machine Translation Software Companies With $5M–$10M Revenue

How many machine translation software companies with $5M–$10M in annual revenue are there?

Latka tracks 1 machine translation software companies with $5M–$10M in annual revenue. Together they generate $5.6M in annual revenue and employ 51 people.

Which machine translation software company with $5M–$10M in annual revenue is the largest?

Wordly is the largest, with $5.6M in annual revenue, founded in 2017.

How much revenue does a typical machine translation software company with $5M–$10M in annual revenue make?

The average machine translation software company in this list makes $5.6M a year, across 1 companies with reported revenue.

Who are the leading Machine Translation software vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are Wordly.

Related Content Management Systems categories

All Content Management Systems SaaS categoriesEvery category we track inside Content Management Systems, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Machine Translation to everything else.

Inclusion Criteria

- The software must provide automated translation capabilities. - It should support multiple languages and dialects. - The product must integrate with other software applications for streamlined workflows. - It should handle different formats, including text, documents, and web content. - Not focused solely on human-assisted translation; must primarily offer machine-based translation solutions.