Professional Machine Translation Post Editing by Expert Linguists

Machine Translation Post Editing helps you translate large volumes quickly and affordably. At NexTranslate, we pair smart Machine Translation with human editors who refine and elevate every line through post editing machine translation so your content stays natural, accurate, and on brand.

Our Machine Translation Post Editing Process

We evaluate your content type, domain, and language pair to choose the most suitable machine translation engine for optimal results.

Your files are processed through secure, high-performance AI translation models, custom or third-party, based on your needs.

Our skilled linguists improve grammar, clarity, terminology, tone, and contextual accuracy to ensure a polished, human-sounding output.

We run comprehensive quality checks, validate formatting, and integrate feedback for continuous improvement.

MTPE Tiers We Offer

Light Post-Editing
Full Post-Editing

Secure, Scalable, and Streamlined

Frequently Asked Questions

Machine Translation Post Editing combines machine translation with expert human editing for fast, cost-effective, accurate language translation.

Yes, we offer both based on quality requirements.

Absolutely. We offer Machine Translation Post Editing solutions for website localization to speed up multilingual deployments.

Yes, but full post-editing is recommended for regulated industries.

E-commerce catalogs, support articles, product descriptions, internal documents, etc.

Yes. All machine-generated content undergoes human review for accuracy.

Yes, typically 30–50% more cost-efficient.

No. With professional editors, quality remains high.

Yes, plus glossaries and translation memories to maintain accuracy.

Businesses needing large-volume, fast-turnaround multilingual content.

Translate Faster, Without Compromising Quality

Want to scale global content while saving time and budget? Let’s discuss how our machine translation post editing solutions can help you localize more, efficiently, accurately, and at scale.