The machine is fast, cheap and confident, and it doesn’t know when it is wrong.
A mistranslated support article sends your customer down the wrong path and creates the ticket it was written to prevent. A product listing that reads like a computer wrote it sells nothing. An internal update that comes out oddly in German gets ignored in Munich, and nobody tells you. Machine translation makes all of this cheaper to produce and does nothing to help you spot it, because the output is fluent whether or not it is true, and the person publishing it cannot read the language it is in.
You want the speed and the price without the gamble. The way to get both is a workflow in which the machine produces the draft and a professional linguist, a native speaker of the target language, checks it before delivery. That is how Brightlines runs machine translation: as an agency service with a named human accountable for the result, not as software you are left to operate alone.
Nothing slips through
- Every job is reviewed by a qualified native-speaker linguist before delivery
- An enhanced workflow adds a second linguist for a final review
- Raw machine output never goes to a client, on any project, at any price
Nothing invented survives
- Hallucinated facts, mistranslated terms and false friends are corrected before publication
- Routine checks for spelling, grammar, spacing and consistency run automatically, so the linguist's time goes on meaning and tone
- Your glossary and translation memory apply to every project, machine-assisted or fully human
Nothing leaves the building
- AI is accessed through a secure API inside our professional translation environment
- Your content is never pasted into a public web tool
- Creative work stays fully human: transcreation never touches a machine
Book a translation discovery call
The people who carry the risk
when a translation goes wrong.
Marketing, brand and content teams
Your campaigns go out in languages you cannot read, under a brand you are paid to protect. Machine translation lets you cover more markets on the same budget, and it will turn 'hit the ground running' into a French sentence about falling over. Our linguists catch what the machine misses, so the Madrid version sounds like your brand rather than a computer that has read about your brand.
If the volume is your problem
You have volume, deadlines and a budget that will not stretch to fully human translation of every support article and manual revision. Automated translation services give you the throughput; the human check keeps the Berlin office believing what it reads. One supplier, one process, and a plain answer on what suits the machine and what does not.
Support and help content
A help article that misdirects a customer produces the contact it existed to prevent. Support libraries run to thousands of articles, change weekly and rarely justify a fully human budget. A machine draft with a professional linguist's review keeps the whole library current across your markets without publishing guesswork.
- Help centre articles and troubleshooting guides
- Macros and templated support replies
- Chatbot and self-service content
- Product FAQs in every market
- Revisions reviewed and shipped as the source changes
Ecommerce catalogues
A listing that reads like nobody sells the product will not sell the product. High-volume catalogues are what machine translation is built for, and where unreviewed output does the most visible damage. Linguists check titles, descriptions and keywords so listings read as written for the market, not processed through it. For full storefronts, machine website translation is covered on our website translation page.
- Product titles and descriptions at catalogue scale
- Category and attribute data
- Seasonal range refreshes across all target markets
- Marketplace listings across regions
- Search keywords verified by native speakers
Internal communications
A memo nobody translates is a decision made only in English. Machine translation with a human review brings the cost down far enough to cover the lot: announcements, intranet pages, team updates. The linguist's check means the Warsaw office reads what you meant, not what the machine assumed. Anything binding, HR policy included, goes through a specialist human workflow instead.
- Company announcements and leadership updates
- Onboarding guides and how-to notes
- Intranet and wiki pages
- Training notes and process guidance
- Meeting summaries and project updates
Certified legal documents
A certified translation rejected by the receiving authority costs you the deadline it was meant to meet. Requirements vary between courts, embassies and government bodies, so we confirm the exact form of certification needed before translation begins.
- Certified translator statements
- Notarised translations
- Apostille-ready documents
- Sworn translation requirements confirmed per country
- Official personal documents for legal use
Knowledge bases
Documentation that lags its source is documentation users stop consulting. Knowledge bases run to hundreds of thousands of words and never stand still, which puts fully human translation beyond most budgets. The machine keeps pace with the volume; the linguist keeps the meaning intact.
- Developer and API documentation
- User guides and manuals
- Internal process documentation
- Release notes and changelogs
- Terminology held consistent by your glossary
The content where a machine draft and a human check make sense.
Supported
Languages
We support a wide range of languages, from major global markets to specialist regional languages.
You ran it through AI. It looks fine. You cannot read it.
You built or bought an AI pipeline, it produced fluent copy in eight languages, and nobody in the building can judge a word of it. Publishing it is a bet. ZURU Toys faced exactly this with 22,000 words of AI-generated product copy for 58 products across eight languages, all bound for packaging and retail listings. An expert review found the same pattern in every language: meaning preserved, English sentence structure and rhythm carried over, copy that read as translated rather than native. Accuracy and fitness for purpose are not the same thing.
If you have AI-translated content waiting to publish, the fix depends on the state of the copy, which is why this runs as three services rather than one: a review that tells you where you stand, AI translation editing where correction is enough, and human retranslation where it is not. It is the work Brightlines did for ZURU before a word reached the shelf
Review
- Expert human linguists assess your AI-translated copy, language by language
- You receive a confidence report: safe to publish, needs editing or needs retranslating
- Nothing goes near a customer until you know where you stand
Edit
- Terminology, tone and factual errors corrected directly in your output
- AI hallucinations found and removed by native-speaker linguists
- Sentence structure reworked where the copy reads as translated
Retranslate
- Human translation from your source where the AI copy is beyond saving
- Your glossary and translation memory applied from the first word
- Only the languages that need it, the rest proceed as edits
What buyers ask us about machine translation.
Machine translation attracts more marketing haze than any other subject in this industry. Below are the questions buyers put to us most, answered in plain terms: what the technology is, what it does well, where it fails and what a responsible agency does about it. Anything not covered here, call us!
A neural model reads your source text and predicts the most probable translation, sentence by sentence, from patterns in its training data. At Brightlines the draft is produced through a secure API inside our translation environment, your glossary and translation memory are applied, and a professional linguist checks the result before delivery. The machine supplies the volume. The human supplies the judgement.
Machine translation is software that converts text from one language to another automatically. Modern systems are neural networks trained on vast volumes of translated text, which is why the output reads fluently. Fluency is not accuracy. The machine predicts likely words; it does not know your product, your market or your legal obligations. That is what the human review is for.
Speed, price and consistency, in that order. A machine drafts in minutes what takes a translator days, which brings large or fast-moving content within budget. Terminology stays uniform when a glossary is enforced. The benefit disappears the moment unchecked output reaches a reader, because one published error costs more than the machine ever saved.
The advantages are the ones above: speed, price and consistency at volume. The disadvantages deserve more attention. Machine translation mistranslates without hesitation, invents facts, drags source-language structure into the target text and cannot judge tone, audience or legal weight. It also performs unevenly, stronger in some language pairs than others and weakest on creative and idiomatic copy. Those disadvantages are why no draft leaves Brightlines without a human review.
Light machine translation is raw or lightly post-edited machine output: text published as the machine produced it, or after a quick scan for obvious errors. Some agencies sell it for low-stakes content. Brightlines does not. Our minimum on any project is a professional human check before delivery, because a reader cannot tell lightly checked from unchecked, and neither can you.
It depends on how the translation was made. If someone pasted your text into ChatGPT, checking the output is money wasted: we can produce a fresh machine draft through our own workflow, glossary and translation memory applied, as fast as any chat window, with the human review already built in. If you have engineered a proper pipeline, with terminology and brand rules designed into it, then yes. Our linguists assess the work language by language, report where it stands and edit or retranslate as the copy requires. That is what ZURU Toys commissioned for 22,000 words across eight languages, from a pipeline they had built themselves.
