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<\/figure>\n<\/figure>\n\n\n\nHow Ovesio Makes Its Choice<\/h3>\n\n\n\n
When a translation request is made, Ovesio sends the text to multiple engines at the same time. It then analyzes the returned translations, checking for language fluency, completeness, and alignment with the original message. Based on this, it returns the most appropriate version.<\/p>\n\n\n\n
An upcoming feature will allow users to manually choose their preferred translation from the available options, for even more control.<\/p>\n\n\n\n
This system is particularly effective when translating structured data such as product specifications and attributes<\/strong>. Unlike other platforms, Ovesio applies a contextual matching mechanism<\/strong>, which helps maintain consistency across similar entries and avoids misinterpretation of short, technical phrases.<\/p>\n\n\n\n Another powerful feature of Ovesio is its ability to save previously translated segments as predefined translations<\/strong>. For example, if a certain product attribute like \u201cScreen Size\u201d or \u201cBattery Life\u201d has already been translated into another language, Ovesio will reuse that exact translation rather than sending it again to the AI engines.<\/p>\n\n\n\n This provides two major benefits:<\/p>\n\n\n\n If you submit the same article or product for translation multiple times without making changes, Ovesio detects that the content hasn’t been modified and won’t charge again for it<\/strong>.<\/p>\n\n\n\n To support complex translation needs, Ovesio offers two complementary tools: projects<\/strong> and workflows<\/strong>.<\/p>\n\n\n\n Projects<\/strong> are used to organize content separately when working with multiple websites or teams. For example, if you’re managing translations for several e-commerce platforms or microsites, you can group their content into distinct projects. This makes it easier to track progress, usage, and statistics per site or client, while keeping data isolated and organized.<\/p>\n\n\n\n Workflows<\/strong>, on the other hand, define how translation should be handled. In a workflow, you can specify:<\/p>\n\n\n\n This gives you control over both the quality<\/strong> of the output and the automation<\/strong> of the process. For example, a technical blog might use a workflow that prioritizes DeepL and OpenAI, while an e-commerce catalog might focus on reuse of predefined product attributes and clean HTML output.<\/p>\n\n\n\n By setting up reusable workflows, teams can save time, reduce errors, and adapt Ovesio to different types of content automatically, without redefining rules every time..<\/p>\n\n\nSmart Reuse of Translations<\/h3>\n\n\n\n
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Projects and Workflows: Managing Translation at Scale<\/h3>\n\n\n\n
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![](\"https:\/\/ovesio.com\/blog\/wp-content\/uploads\/2025\/11\/Frame-66-1.png?v=591699\" "\\"Ovesio")
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