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Top 10 Machine Translation Software Companies (November 2026)

As of November 2026, Latka tracks 13 machine translation software companies. They have combined revenues of $259.3M and employ 1.9K people. They have raised $444.3M and serve 503K customers combined.

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
13
Revenue
$259.3M
Funding
$444.3M
Employees
1.9K

Filters

Sorting: Highest -> Lowest

Filters

Top Machine Translation Software Companies by revenue

Showing 10 of 13 companies ranked by annual revenue.

1DeepL logo
DeepL

Cologne, Germany

AI machine translation services

Revenue
$185.2M
Customers
500K
Year founded
2017
Funding
$400M
Team size
1K
2Lilt logo
Lilt

San Francisco, California, United States

Developer of a machine assisted translation platform designed to automate translation for businesses. The company's platform offers multiple suggestions, incremental domain adaptation, sub-segment matching and word alignment, enabling users to translate professional documents accurately without the need of a human translator.

Revenue
$30.3M
Year founded
2015
Funding
$36.9M
Team size
533
3QuillBot logo
QuillBot

Chicago, Illinois, United States

In 2017, our founders wanted to find a way to help students still learning English improve their writing. Today, our brands—QuillBot, Scribbr, and LanguageTool—are on a mission to make written communication better and more efficient. Our personalized AI tools empower 56M people around the world to learn and improve their writing, enabling better communication across languages and cultures. Career opportunities at QuillBot, Scribbr, and LanguageTool will come from the talent acquisition team at QuillBot.

Revenue
$27.4M
Year founded
2017
Team size
249
4Wordly 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
5Taia Translations logo
Taia Translations

United Kingdom

Taia Translations is a Ljubljana-based translation technology company founded in 2018 by Marko Hozjan and co-founder Mattia. The company operates a one-stop platform combining AI-powered machine translation with professional human translation services, serving businesses that need to localize documents, websites, software, and other content. Its platform includes a usage-based translation marketplace and a subscription SaaS product called Catapult, which allows customers to perform translations independently using machine translation while preserving document formatting. As of July 2021, Taia reported monthly revenue of approximately 100,000 euros, implying an annualized run rate of roughly 1,200,000 dollars, up from 25,000 dollars per month in August 2020. The company had grown its customer base from fewer than 1,000 in mid-2020 to 3,000 by mid-2021. Taia raised 1,200,000 euros in October 2020 at a 6,000,000 euro pre-money valuation, bringing total funding to 1,400,000 euros, and was preparing to raise approximately 3,000,000 euros in a new round targeting a close in Q1 2022. The company employs 30 full-time staff, including at least 12 engineers, and has funded its growth primarily through cold outreach sales. With a customer acquisition cost of roughly 150 dollars and a CAC payback period of three to four months, Taia was burning cash as of the interview date but held approximately 500,000 euros in the bank. Hozjan told Latka the company's 2021 revenue target was 1,500,000 euros.

Revenue
$3.4M
Customers
3K
Year founded
2017
Funding
$4.2M
Team size
26
6Voiseed logo
Voiseed

Milan, Lombardy, Italy

Voicing Emotions. We respond to the growing demand for multilingual expressive voice content by revolutionizing Speech Synthesis with a new technology.

Revenue
$2.2M
Year founded
2020
Funding
$3.2M
Team size
20
72txt logo
2txt

Berlin, Germany

Developer of a product description software intended to create advisory and promotional e-commerce texts. The company's software combines methods from linguistics, computer science and artificial intelligence to develop algorithms in order to derive meaning and relationships from article master data and translate it word for word into high-quality product descriptions, enabling clients to access their fast and highest linguistic quality and variety text generation to maximize reach and conversion.

Revenue
$1.4M
Year founded
2013
Team size
14
8WORDVICE Corporation logo
WORDVICE Corporation

United States

The Wordvice AI Writing Assistant is a comprehensive English revision tool that makes context-based suggestions to improve your vocabulary and enhance your style. The AI Writing Assistant provides a suite of tools for all kinds of writing: ① AI Proofreader, ② AI Paraphraser, ③ AI Text Summarizer, ④ AI Translator, ⑤ AI Plagiarism Checker, ⑥ AI Detector

Revenue
$1.2M
Team size
11
9Everytale logo
Everytale

Claymont, Delaware, United States

Everytale is a virtual events platform that provides an easy-to-use tool to create, promote, broadcast, and scale events of any size. Our Vision: Build a barrier-free information environment for everybody, internationally! Our Mission: Offer quality video communications platform bringing people to interact everywhere around the world - regardless of their origin, language barrier, or social background. Our Product: Everytale's platform is very simple and carefully designed for all events and their participants. It offers event organizers, experts, and learners a 4K LIVE video broadcasting platform & tools powered with advanced A.I. With important features from other virtual event platforms in the market, it offers additional game-changing features like live language translation, speech transcription, and a fully functional learning ecosystem for participants to drive event retention. Record and upload events to our global event library for re-visits. Benefits: For Events - Event hosts save on marketing costs by expanding reach to global users with A.I. targeted tools - activating extra registrations. Get a customized profile for individual needs and event satisfaction. A gamified platform environment makes the event experience unforgettable! For Participants - Participants open a new door to opportunities. Establish diverse contacts, interact with sponsors, pitch, and discuss ideas also privately, and access an open platform of video content in the native language.

Revenue
$990K
Year founded
2019
Team size
9
10LabSense logo
LabSense

Paris, Île-de-France, France

LabSense provides & develops multilingual artificial intelligence solutions to ease communication, content mining and production for our clients. We happily serve businesses and organizations in multiple industries : media, brands, digital agencies, e-commerce websites and content publishers. You have needs or are interested in content production at scale, data journalism, data mining... or are passionate about the following acronyms SEO, NLP, NLG, NLU, Machine Translation, Chatbots... ? We will be happy to help : [email protected] ! Solutions available in multiple languages : English, French, German, Spanish, Italian. https://twitter.com/Lab_Sense

Revenue
$770K
Year founded
2011
Team size
7

Frequently asked questions about Machine Translation Software Companies

How many machine translation software companies are there?

Latka tracks 13 machine translation software companies with reported revenue. Together they generate $259.3M in annual revenue and employ 1.9K people.

Which machine translation software company is the largest?

DeepL is the largest, with $185.2M in annual revenue, founded in 2017.

How much revenue does a typical machine translation software company make?

The average machine translation software company in this list makes $19.9M a year, across 13 companies with reported revenue. They serve 503K customers combined.

Who are the leading Machine Translation software vendors?

Ranked by annual revenue, the leaders are DeepL, Lilt, QuillBot, Wordly and Taia Translations.

How much funding have machine translation software companies raised?

The 13 machine translation software companies tracked here have raised $444.3M in disclosed funding between them.

Related Content Management Systems categories

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.