MachineTranslation.com, the AI translation platform from professional translation company Tomedes, has introduced a new workflow that allows businesses to upload multiple files and select multiple target languages in a single session, according to a press release. Previously, each file and each language required its own session, and platform data showed businesses averaging more than seven sessions to complete one translation project, even though they were satisfied with translation quality. Customers attributed the repeat visits to the workflow rather than the output.
Under the new workflow, every uploaded file is translated into every selected language. For each translation, leading AI models including ChatGPT, Claude, Gemini, DeepL and Google produce independent versions, and the platform delivers the one most of them agree on, in the original file format with the layout preserved. The change fits how multilingual work actually arrives: a marketing team localizing content for two markets, a legal team sending agreements to international partners, and a brand entering a new region with product listings, help guides and supplier briefs can each treat the work as one project.
“Most businesses using MachineTranslation.com are not thinking about translation. They are thinking about reaching more people,” said Ofer Tirosh, CEO of Tomedes. Businesses should not have to reshape their projects around a tool, according to Rachelle Garcia, AI Lead at Tomedes. “We think the platform should work around them,” she said. Both features are available to all users, subject to existing word limits by plan.
The announcement matters because it directly addresses a workflow inefficiency that was driving repeated sessions, not dissatisfaction with translation quality. By consolidating multi-file, multi-language projects into a single session, the platform reduces friction for teams that routinely handle content across markets and document types. This could encourage broader adoption of AI translation for complex, multi-market projects, as businesses can now manage them as single undertakings rather than fragmented tasks. The platform’s consensus-based approach, where multiple AI models independently translate and the majority version is delivered, remains central to its offering, now applied more efficiently across 330+ languages. For more information, visit https://www.machinetranslation.com/.
