DeepL vs ChatGPT vs Google Translate

For most small businesses, DeepL is the best default for translating finished documents, ChatGPT is the better choice when you want to rewrite or adapt text for an audience, and Google Translate is best kept for quick, low-stakes understanding. None of the three should receive confidential customer documents on a free plan. The differences that matter are formatting, terminology control and what happens to your text after you paste it in.

This is a desk review. We read each provider’s own pricing, product and data pages on 30 October 2026, and we have not run a controlled accuracy test. Where we say what to expect from a tool, that is a reasoned judgement about how it is built, and we say so. Prices change and differ by country, so check each vendor’s own page before you buy.

Key takeaways

• DeepL is a dedicated translation product. It translates documents and returns them with their formatting, and it has glossaries to hold your terms.
• ChatGPT is a general assistant, so it can translate and also rewrite, adjust tone and explain a choice. It does not promise to return a file laid out like the original.
• Google Translate comes in two forms that people mix up: the free consumer website and app, and the paid Cloud Translation API with its own data terms.
• DeepL’s own plan table lists no data training on every plan, including Free. Google’s API page says it does not use your content to train its translation features. OpenAI’s business plans do not train on your data by default.
• The free consumer tools are the risk. Staff paste contracts into whatever is open in the browser.
• Accuracy varies by language pair. Test your own pair on your own text.
• A machine translation is a draft. Anything a customer, regulator or court will read needs a fluent human to check it.

Which is Best for Business Translation?

It depends on the job, so start there.

Google Translate sits outside that split. The free app is useful for working out what a supplier’s email says. The paid Cloud Translation API is the route for a developer who wants translation inside your own systems. If you are weighing general assistants against each other, our reviews of Gemini vs ChatGPT for business and Claude vs ChatGPT for business cover that side.

What is the difference between DeepL, ChatGPT and Google Translate?

They are different kinds of tool, which is why comparing them feature by feature can mislead.

A large language model such as the one behind ChatGPT predicts text from context, which is why it handles tone and rewriting well and also why it can add or drop a phrase without telling you. Our glossary entry on large language models explains the idea, and the entry on hallucination covers the failure to watch for.

Which is more Accurate for Business Translation?

We have not measured it, and we would be wary of anyone who claims one tool is simply more accurate than another. Accuracy changes with the language pair, the subject and how formal the text is.

What we can say is how each is built, and what that tends to mean:

• DeepL is a specialist, translation only. On a finished document it tends to stay close to the source, which is what you want for a contract or a specification.
• ChatGPT is more flexible and more likely to paraphrase. That is useful for a marketing line and risky for a clause, because it may smooth over something that should stay exact.
• Google Translate covers a very wide range of languages. It is a reasonable first read, and its quality on less common pairs is often the reason people use it.

The only test that counts is yours. Take ten real sentences, five easy and five that carry a number, a legal term or a product name, and run them through each tool. Then ask a fluent colleague to mark what is wrong. Fifteen minutes of that is worth more than any league table.

Use a sheet like this to score each tool, one row per sentence type.

Back-translation, translating the result back into the original language, will not prove a translation is right, but it quickly shows where meaning drifted.

Can they translate Whole Documents with the formatting intact?

This is where the three differ most.

DeepL’s own pages describe translating entire documents while preserving the original formatting, and name PDF, Word, PowerPoint and Excel among the formats. Its plans cap how many file translations you get each month and how large the file can be, so the allowance matters if you translate in bulk.

ChatGPT will translate the text of a file you give it, but it is a chat tool. It does not promise to hand back a brochure or a slide deck laid out as you sent it, so expect to rebuild the layout by hand.

Google’s paid Cloud Translation API, in its Advanced edition, lists document, batch and real-time translation. That is a developer route and not a button for the office manager. The free website and app can translate pasted text and uploaded files, but they are not what you would build a business process on.

If layout matters, as it does for contracts, brochures and presentations, the cost of tidying a badly formatted result can outweigh the cost of the tool.

Can you make them use your own terminology?

Consistent terms matter more than people expect. If your product is “the Workbench” in English, you do not want it to become three different words across a French brochure.

• DeepL offers glossaries. The Free version and the Individual plan allow one glossary with 5 entries per language pair. Team allows 5 glossaries with 1,000 entries per language pair, and Business lists unlimited use under fair use. That is the clearest control of the three.
• ChatGPT has no glossary feature as such, but you can paste your terms into the prompt and tell it to use them. It works for a short list. For a long one it is easy to lose track. Our article on how to brief an AI tool like a new hire covers writing a brief it will follow.
• Google lists glossary support in the Advanced edition of the paid API.

If you translate the same product pages and manuals again and again, a glossary is the feature that earns the subscription.

Is it Safe to translate confidential Documents?

Safe depends on which version you use, not just which brand.

DeepL. Its plan comparison marks no data training as included on every plan, including the Free version, and its security page says: “Texts are never stored or used for model training without your consent.” Its pricing page says processing is ISO 27001 and SOC 2 Type II certified, and that for paid subscribers content is stored temporarily and never used to train its models. For business use, take a paid plan and read the privacy policy for the exact terms. Our glossary entries on GDPR and data protection cover what you owe your own customers.

ChatGPT. OpenAI’s help material says that on ChatGPT Business, Enterprise, Edu and the API, inputs and outputs are not used to train its models by default. Personal Free, Plus and Pro accounts work differently: sharing is on by default and you opt out in the settings. A staff member translating a contract on a personal account is the risk, not the business plan.

Google. Google’s data-usage page for the Cloud Translation API, last updated on 27 October 2026, says: “Google does not use the content you send to train and improve our Google Translation features.” That page covers the paid API. We could not confirm from Google’s own pages how the free website and app treat your text, so we treat it as unknown. Our rule is simple: nothing confidential goes into the free app.

If your staff are already translating things on their own accounts, that is shadow AI, and it is more common than a badly configured paid plan. Our article on what is safe to paste into AI tools gives a plain rule set, and the entry on data residency matters if a customer asks where their text is processed.

How much do they cost?

Prices change and differ by country, so treat these as a snapshot and check the vendor’s page.

DeepL publishes plans on its pricing page, which we read on 30 October 2026. Prices there are shown with VAT included and billed annually.

The text allowance is where the plans differ most. This chart shows the characters of text each DeepL plan includes per user per month, from DeepL’s plan table.

Business lists unlimited text under fair use, so it is not drawn as a bar. Individual and Team list a 30-day free trial. Enterprise is priced by quote.

ChatGPT is a subscription, and many businesses already pay for it. A translation is a bonus use on a seat you have, so the extra cost may be nothing. Our article on ChatGPT for small businesses covers the plans, and the figures are best read on OpenAI’s own pricing page.

Google works differently. The free app costs nothing. The Cloud Translation API is paid by usage, billed per character, and Google’s pricing page lists a monthly free allowance for text translation. That suits a developer building translation into a system and not a person translating a few documents.

To compare fairly, count your volume first: how many characters or files in a typical month, and in how many languages. Then check what each vendor currently charges for that.

Which should a Small Business choose?

A short guide, based on the work you actually do:

• You translate contracts, brochures or manuals and layout matters. DeepL on a paid plan, with a glossary for your product terms.
• You adapt marketing copy for another market. ChatGPT, because tone and audience are the point. Keep a person in the loop for the final version.
• You want to read a foreign email quickly. Google Translate is fine, as long as the email holds nothing sensitive.
• You want translation inside your own website or system. The Google Cloud Translation API, or DeepL’s API, built by a developer.
• You do not know yet. Start with the ten-sentence test above and decide on the result.

Whichever you pick, write down which tool is approved for which kind of text. Our article on writing an AI use policy for your team shows how, and AI governance for small and mid-sized businesses puts it in context. If you are unsure where AI should start in your business at all, see which AI tasks a small business should start with first.

How do you check a Translation before it goes out?

Machine translation is a draft. It is often a good one, but it can still mistranslate a number, flip a negative, or render a legal term as an everyday word, with no warning. A human has to be in the loop for anything that matters.

1. Decide the stakes first. An internal note needs a glance. A contract needs a professional.
2. Check the numbers, names and dates. These are the errors that cost money.
3. Read it as the customer would. Does it sound like a person wrote it?
4. Keep the source next to it. A reviewer can compare line by line.
5. Record which tool and which date. If a complaint arrives, you can trace it.

Our article on how to check AI output before it goes to a customer turns this into a routine, and the entry on human in the loop explains the idea.

When is machine Translation not enough?

Use a human translator, not a tool, for legally binding text, regulated material, medical information, and anything where one wrong word creates liability. Use one too for your brand’s headline copy in a new market, where what sounds natural matters as much as what is correct. A tool can still produce the first draft to save the translator time.

Our verdict

DeepL is the sensible default for a small business that translates documents regularly, mainly because it keeps formatting and lets you hold your terms in a glossary. ChatGPT earns its place when the task is adapting text and not just converting it, and it costs little extra if you already pay for it. Google Translate is a handy reader’s tool, and its paid API is the developer’s route, but the free app is the one to keep confidential text away from.

Before you roll any of them out, choose a paid plan with clear data terms, write down what must never be pasted, and test your own language pair on your own text. Judge by the result on your documents, not by reputation.

Further reading

• Gemini vs ChatGPT for business: how the two general assistants compare on data and pricing.
• Claude vs ChatGPT for business: the other assistant comparison most teams ask about.
• Customer data and AI tools: what is safe to paste: a plain rule set for staff.
• Is it safe to connect ChatGPT to Gmail, Drive or SharePoint?: what changes when a tool can see your files.

Sources

• DeepL plans and pricing: the Free, Individual, Team, Business and Enterprise plans with prices, character and file limits, glossary allowances, the no-data-training line and security certifications, as read on 30 October 2026.
• DeepL data security: the statement that texts are never stored or used for model training without consent, and the GDPR and SOC 2 Type II claims.
• Cloud Translation overview: the Basic and Advanced editions, glossary support, and document, batch and real-time translation.
• Cloud Translation data usage: the statement that content sent to the API is not used to train its translation features, last updated 27 October 2026.