Automated Post-Editing (aPE).

Boost the quality, speed, and consistency of your machine translations.

Our Automated Post-Editing (aPE) service combines the precision of artificial intelligence with expert linguistic knowledge to turn raw machine translations into polished, brand-aligned content that’s ready to use.
Whether you’re managing large volumes or simply aiming to save time and cut costs, aPE offers a flexible, scalable, and reliable solution to elevate your linguistic quality.

automated-post-editing

Streamline your translation workflows with AI.

Consistent quality at any volume

aPE enhances terminology, style, and syntax through contextual automated editing, ensuring fluent, consistent texts across all languages.

Faster turnaround, tangible results

Batch processing and parallel workflows allow for significantly reduced turnaround times-even for complex, multilingual projects.

Lower costs, full control

Cut costs compared to full human post-editing-without giving up reports, glossaries, or quality control.

One service, two delivery modes.

Managed service.

1. Fully managed post-editing

Our team handles the entire aPE process end-to-end, delivering translation-ready files with no setup required on your side.

2. Pre-edited delivery for in-house review

Receive APE-processed files optimised for your team’s final review, reducing revision time while keeping your editors in control.

Self-service.

1. Post-edit via our web interface

Connect your own OpenAI or Anthropic key, upload your XLIFF files, and run multi-step post-editing directly in your browser — no third-party storage, no data leaving your environment.

2. Integrate aPE into your pipeline via API

Submit jobs and retrieve edited files programmatically through our REST API, making post-editing a seamless step in your existing translation workflow.

Six dimensions of quality.

Our tool performs comprehensive quality analysis across six key dimensions:

Accuracy

Ensures the translation faithfully conveys the source meaning.

Fluency

Corrects grammar, syntax, and sentence structure errors

Style

Delivers natural, flowing sentences in the target language.

Terminology

Applies your approved glossary terms consistently.

Locale

Ensures correct number formats, date formats, and measurement units.

Formatting

Preserves all tags, placeholders, and special formatting.

The numbers speak for themselves.

Up to 90%

reduction in post-editing time

Up to 50%

reduction in post-editing + human revision costs

100%

terminology consistency across all segments

What you get – and where it fits.

All outputs are delivered as updated XLIFF files, ready to import directly into your CAT tool. We support all major platforms — SDL Trados Studio, memoQ, Phrase (Memsource), and Okapi Framework — with additional formats available on request.

Edited XLIFF files

Ready to import directly back into your CAT tool

Excel report

Detailed breakdown of all changes with before/after comparison

Comparison files

Side-by-side view for quick review and validation

Request a tailored quote.

Contact us today to find out how Automated Post-Editing can improve your translation workflows.
We blend cutting-edge technology with linguistic expertise to deliver high-quality content, faster and more cost-effectively.

FAQ.

Yes, you can upload an entire folder into the tool. It will automatically include all the files for processing, but they must all be in the same language pair.

Currently, the tool can process a combination of languages at once, but it does not support processing multiple languages simultaneously in a single project.

Yes, the tool can automatically detect the source and target languages, which are stored as metadata in the xliff files.

The autodetected specifications are used during file processing as additional context for the LLM(s), enhancing the post-editing process.

Currently, the Glossary supports XLSX file format. If you have glossaries in a different file format, we can take care of the conversion.

Yes, you can disable the review step by selecting the appropriate option in the Model Analysis tab.