AIPE vs MTPE: How to Choose by Content Type

What AIPE and MTPE actually mean

MTPE stands for machine translation post-editing. It is the established industry term for reviewing and correcting machine-translated text. AIPE stands for AI post-editing. It has started appearing on purchase orders and vendor menus as AI translation tools became familiar to people outside the language industry.

Term	Stands for	Who uses it	What it usually means
MTPE	Machine translation post-editing	Language service providers, translators	A human corrects machine-translated output
AIPE	AI post-editing	Buyers, some vendors	The same thing, with the AI element emphasized

If your order says AIPE and your invoice says MTPE, you have probably not been sold two different things. The workflow is the same: a draft from a translation engine or large language model, then human review.

The One Question That Separates Them

There is one situation where the labels can mean different things. Some vendors use "AI post-editing" to describe a workflow where a second AI model, not a person, does the editing. The research literature calls this automatic post-editing, or APE.

Automatic editing can be useful for internal or low-risk material. But it removes the human quality gate, and that changes the risk completely. Automated editors can also over-edit, rewriting correct sentences and introducing new errors.

So before you approve any order labelled AIPE, ask one thing:

Is the post-editing done by a human linguist, or by an automated system?

For anything customers, partners, regulators or search engines will read, the answer should be a human. If you want to understand how automatic editing and automated quality scoring fit into a modern workflow, our guide to automatic post-editing vs automated quality estimation covers it in detail.

Four levels of AI translation

Once you know a human is involved, the real decision is the level of human effort. There are four.

Level	Who does what	Quality target	Best for
Raw machine output	Machine only	Understandable, unpredictable	Gisting, internal research
Light post-editing	Machine drafts, human fixes serious errors	Accurate and readable	Technical, high-volume, short-shelf-life content
Full post-editing	Machine drafts, human revises for accuracy, terminology and style	Comparable to human translation	Customer-facing content at scale
Human translation	Human translates from the source, then a second linguist reviews	Highest, with full accountability	High-risk, creative or certified content

Light post-editing corrects mistranslations, missing content and clear errors so the text is accurate and easy to understand. It does not polish style. We use it mainly for technical content where readability matters more than elegance.

Full post-editing goes further. It checks terminology, tone and fluency so the result reads as if a translator wrote it. We use it for content that carries your brand, such as marketing materials and website copy, where native reviewers also pay attention to cultural nuance.

You can read how we run each level on our pages for machine translation post-editing and full post-editing.

Choose by content type

Content type is the biggest factor in choosing a level, because it sets what happens if something goes wrong. Use this matrix as a starting point.

Content type	Risk if wrong	Recommended level	Why
Internal memos, meeting notes	Low	Raw or light	Staff only need to understand the meaning
Support tickets, chat logs	Low to medium	Light	Speed matters and shelf life is short
User reviews (for analysis)	Low	Raw or light	Used for insight, not published
Help center and knowledge base articles	Medium	Light or full	Clarity is critical, style less so
Technical manuals and specifications	Medium to high	Light or full	Consistent terminology and accuracy matter
Software UI strings	Medium to high	Full	Short strings, space limits and tone matter
E-commerce product listings	Medium	Light for specs, full for descriptions	Facts must be right, selling copy must persuade
Website pages	Medium to high	Full	Public, brand-defining and read by search engines
Marketing campaigns and slogans	High	Full post-editing with transcreation, or human	Cultural fit is the product
Legal contracts, filings	Very high	Human translation	Errors have legal consequences
Medical and clinical content	Very high	Human translation, specialist review	Errors can affect safety
Certified translations	Required human	Human translation	A certification needs a human professional

A few notes on reading this table.

Sort content into buckets, not documents. A single product page may contain specifications (light editing is often enough) and a hero headline (needs a human touch). Splitting content by type inside a project usually saves more than picking one level for everything.

"Recommended" is a default, not a rule. Regulated industries, a public launch or a sensitive audience can push any row up a level.

Three factors that override the default

1. The language pair

Machine translation quality varies a lot by language. For widely supported pairs with clean source text, the draft is often strong and editing is faster. For lower-resource languages, the draft can be weak enough that a post-editor is effectively rewriting it. In that case the savings narrow, and human translation may give you a better result for a similar cost.

Ask your provider whether the engine they plan to use has been checked on your specific language pair and content type.

2. The quality of your source text

Post-editing works best on clear, consistent source text. Ambiguous sentences, inconsistent terminology and slang all produce weaker drafts and more editing work. If your source is messy, pre-editing can reduce errors before they occur and lower the editing effort afterwards. A good glossary and translation memory help in the same way.

3. Who is affected by an error

Ask a simple question: if this sentence is wrong, who is harmed, and how badly? An awkward help article costs a support ticket. A wrong dosage instruction costs far more. The higher the harm, the more human involvement you need, regardless of the price difference.

Same sentence, three levels

Here is an illustrative example of how the levels differ. The source sentence is English, and the translation is Spanish.

Source: Press and hold the power button for five seconds to reset the device. Your settings will not be lost.

Raw machine output:

Presione y sostenga el botón de encendido durante cinco segundos para reiniciar el dispositivo. Sus configuraciones no serán perdidas.

Light post-edit:

Presione y sostenga el botón de encendido durante cinco segundos para reiniciar el dispositivo. Sus configuraciones no se perderán.

Change: the last sentence was rewritten to fix an unnatural passive construction. Nothing else was touched.

Full post-edit:

Mantenga pulsado el botón de encendido durante cinco segundos para restablecer el dispositivo. No perderá su configuración.

Changes: the phrasing now matches the wording used across the rest of the manual, uses the more natural verb for holding a button, and addresses the user in the form the brand style guide requires.

The raw output is understandable. The light edit removes the most obvious error. The full edit reads like it was written in Spanish from the start. For a factory manual used by trained technicians, the light version may be enough. For a consumer product guide, the full version is worth it.

What post-editing costs

Post-editing costs less than translating from scratch, and light post-editing costs less than full. But the label does not set the price. Content difficulty does. A clean, technical English text in a well-supported language will edit quickly. A dense, ambiguous text in a harder language pair will not.

For that reason, be wary of any flat rate quoted without seeing your content. The fair question is not "what is your MTPE rate?" but "how good is the draft you will produce for this content, and how does that affect the effort?"

Our machine translation post-editing services start from [verify current starting rate per word]. You can also use our instant quote tool to estimate your own project.

Frequently asked questions

Is AIPE cheaper than MTPE?

No. They usually describe the same workflow, so price depends on the level of editing, the language pair and the content, not the label. If a quote for "AIPE" is much lower than an MTPE quote, check whether a human is actually editing.

Can AI do post-editing without a human?

Technically yes. This is called automatic post-editing. It can work for internal or low-risk content, but it has no human quality gate and can introduce new errors. For published, customer-facing or regulated content, human post-editing is the safer choice.

Is light post-editing enough for a website?

Usually not for public pages. Light editing fixes errors but does not polish tone or brand voice, which matter on pages that represent your company. Use full post-editing for key pages, and consider light editing for support articles or background content.

Which languages are riskier for post-editing?

Languages with less training data for translation engines tend to produce weaker drafts, so editors have more to fix. Ask your provider how they evaluate quality for your specific language pair before choosing a level.

How do I know if my vendor's post-editors are qualified?

Ask whether post-editors are native speakers with subject expertise, how terminology is managed, and what quality checks apply. Ask which standards the provider's process follows. At MarsTranslation, projects run under ISO-certified processes and are supervised by subject experts.

How to decide, in short

Confirm a human is doing the editing.
Sort your content by risk, not by document.
Match each bucket to raw, light, full or human translation.
Adjust for language pair and source quality.
Test on a sample before committing to a large project.

If you are not sure where your content falls, send us a sample. We will recommend a level for each content type and show you what the output looks like before you order. Request a free quote to get started.