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Language AI & Translation System for your business
Discover how leaders in tech companies speed up translations, reduce errors, and accelerate global product delivery.
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Best way to translate PowerPoint (PPTX) files without breaking formatting
PowerPoint (PPTX) files are widely used for presentations, training materials, and sales decks, but translating them is more complex than translating plain text. This guide explains how to translate PPTX files without breaking formatting, the best workflows and tools to use, and how structured systems with translation memory, terminology control, and human review help teams maintain consistency and improve translation quality over time.
How global teams add human control into content workflows
As AI accelerates content production across languages and markets, the real operational challenge is not speed — it is control. This playbook explains how leaders and operations teams design human responsibility into multilingual content workflows, so that governance is built in, not bolted on.
What it looks like when translation is managed as a shared operational system
Most companies treat translation as a series of isolated projects. But when language is managed as a shared operational system, decisions are stored, AI is supervised, terminology is enforced, and review cycles become lighter over time. This article explores what that shift looks like in practice; and how modern Translation Management System (TMS) platforms like TextUnited make multilingual operations scalable, predictable, and controlled.
Where AI works best in global content (and where it still fails)
AI has transformed global content workflows, making translation faster and more scalable than ever. But speed alone doesn’t guarantee control. Without memory, structure, and governance, terminology drifts, formatting breaks, and teams quietly redo the same translations. This article explores where AI truly works best in global content, and where it still fails without the right system behind it.
Automatic Post-Editing (APE) explained
Automatic Post-Editing (APE) improves machine translation by automatically correcting common errors. This guide explains how APE works, its limitations, and how it fits into modern translation workflows.