AI + Post-editing: AI sets the pace, an expert puts the finishing touches on it

The starting point. In post-editing, a person works on a machine translation and compares it with the source, segment by segment. A proofreader typically focuses solely on the target text.

Yes, we select a post-editor in the same way as a translator in Premium: based on their field of expertise. Technical texts are edited by someone who understands how the machine works, not a generalist linguist.

That's what a post-editor is for: they work with both the source and the translation, so they can spot any discrepancies. Segments that can't be salvaged are translated from scratch. You don't see this process; you see the result.

Post-editing is for content that is intended for the public but doesn't pose any legal or reputational risk, such as product documentation, product descriptions for e-commerce, help materials, and B2B communications. If the text is critical to the brand, highly creative, or contains a lot of high-risk terminology, Premium is the better choice. Not sure which level your text falls under? Check out our guide to the different levels, or send us your document and we'll advise you on pricing.

It's a translation where AI does the initial pass, and an experienced human brings it to a state ready for publication. Today, AI translates so well that human work has shifted from fixing errors to refining style, terminology, naturalness, and tone. Finally, the text undergoes an independent internal quality control review.

No. Someone who only reads the translation doesn't know the source text, so they won't catch what the AI changed, hallucinated or omitted. Our post-editor works side by side with the source and translation, segment by segment, in your field, and finally, the text undergoes independent quality control by a human reviewer. It's the difference between "someone took a quick look" and "someone is responsible for the outcome."

Yes – in the end, a human did review it. The post-editor works on meaning, terminology, naturalness, and tone, removing the stiffness that typically gives machine translation away. The result should read well and sell well, not just be technically correct.

Days, not hours. AI produces the first draft in hours, and then people spend time on post-editing and a separate quality check. Large volumes in a short time are a natural environment at this level, and we confirm a realistic deadline during quoting and meet it in 99.98% of projects.

Because a human is involved. In Bridge, the text only goes through automatic quality control. In post-editing, an experienced post-editor works on it, and then a second person performs quality control.

A specific person. The post-editor brings the text to a state we can sign off on, and before delivery a second person independently runs a tool check during quality control. We don't hand you raw machine output for you to verify yourself; we deliver a text we take responsibility for.