No.
As of July 2026, Meta's Llama models can translate the text inside a document, but they do not return a rebuilt file with your original formatting intact. Point Llama at a PDF or Word file and you get translated text — not a formatted DOCX or PDF that mirrors the original layout, tables, and numbering. Preserving formatting requires a separate document pipeline built on top of the model.
Bluente is an AI-powered document translation platform used by 30,000+ professionals to translate files in 120+ languages while preserving original formatting. This article explains what Llama does and does not do with documents, why the difference matters for professional work, and how to get a translated file that looks exactly like the source.
What Does Llama Actually Do With a Document?
Llama is a family of open-weight large language models from Meta. It is strong at understanding and generating text, including translating between languages. Feed it a passage and it returns a fluent translation. That is genuinely useful when you need to understand what a foreign-language document says.
What Llama does not do natively is reconstruct the document. It is a text model, not a document renderer. It has no built-in engine that maps translated words back into the original tables, columns, footnotes, and page structure. Because Llama is a model you run rather than a finished app, "using Llama" almost always means running it through a framework — Ollama, a Poe bot, an API wrapper — and the model still only handles the language step. The layout has to come from somewhere else.
Why Doesn't Llama Preserve Formatting on Its Own?
Because translating a file while keeping its formatting is a three-stage job, and a language model only owns the middle stage. First, the text has to be extracted along with its position, styling, and structure. Then it is translated. Then the translated text has to be reflowed back into the original layout so tables stay aligned and headings stay in place. Llama handles the translation. The extract and reflow steps — the parts that actually keep a document usable — sit entirely outside the model.
This is exactly why a search for "Llama document translation" returns third-party tooling rather than a native Meta feature. Projects like run-llama's automatic-doc-translate, LlamaParse and LlamaIndex for parsing, a "Llama PDF Translator" bot on Poe, and open-source book translators such as TranslateBooksWithLLMs all pair Llama's translation with their own parsing and layout logic. In every case the format preservation comes from the surrounding pipeline, not from Llama. And because those pipelines vary widely in quality, so does the result.
What Breaks When You Translate a Document as Plain Text?
Everything that made the document usable in the first place. When translation returns text without structure, someone has to rebuild the file by hand. The usual casualties: tables collapse into runs of text, so a financial statement or a contract schedule loses its rows and columns. Numbered clauses and legal numbering lose their sequence. Footnotes and endnotes detach from the references that point to them. Headers, footers, and page numbers vanish. Multi-column layouts flatten into a single block.
For a 40-page contract, a regulatory filing, or a board deck, reassembling all of that can take longer than the translation itself — and it reintroduces exactly the errors a translation was supposed to remove. For a lawyer, banker, or compliance lead, that reformatting is not cosmetic. It is the difference between a document that can be filed and one that cannot.
How Is Bluente Different From Running Llama Yourself?
Bluente is built as a document-first platform, not a text model you have to wire up. You upload a PDF, DOCX, XLSX, PPTX, or scanned image, and you get the same file back in a new language — tables, charts, footnotes, and legal numbering intact. The layout-aware engine runs the extract-translate-reflow pipeline for you, so there is no copy-paste step and no manual rebuild.
The practical differences for professional work are straightforward. Formatting stays intact across 27+ file types, including scanned PDFs and images through built-in OCR. Translations complete in minutes, not days, with most documents finishing in under two minutes. Terminology stays consistent through a custom glossary, so "agreement," "shareholder," or any regulated term maps to a single translation across the whole document. And every file is handled under enterprise-grade security: SOC 2 Type II, GDPR, and ISO 27001 compliance, with zero data retention, automatic deletion within 24 hours, and no use of your documents to train any AI model.
If you are a developer who wants the model-level control that draws people to Llama, Bluente also exposes the whole pipeline through an API and an MCP server — format-preserving translation you can embed, without building the parsing and reflow layer yourself.
When Is Llama Good Enough, and When Do You Need a Document Platform?
Llama is a reasonable choice when you only need the gist, when you are already building on open-weight models, or when data has to stay on your own infrastructure and you have the engineering to assemble the surrounding pipeline. If you want to know what a foreign-language email or article says, Llama gives you a fast, readable answer and formatting does not matter.
You need a document translation platform the moment the output has to be a usable file — a contract you will sign, a filing you will submit, a deck you will present, or a report a regulator will read. In regulated work, a mistranslated clause or a broken table is not a rendering glitch; it can invalidate the document. That is the line between a model that translates text and a platform that translates documents.
Frequently Asked Questions
Q: Can Llama translate a PDF while keeping the layout? Not on its own. Native Llama returns translated text, not a formatted PDF. Third-party tools pair Llama with their own parsing and layout engines to rebuild a file, but the formatting fidelity depends on that external tooling, not on Llama. For a translated PDF that mirrors the original, use a document-first platform like Bluente.
Q: Does running Llama locally change anything about formatting? No. Running Llama locally through Ollama or a similar runtime helps with privacy and control, but it does not add a layout engine. The model still outputs text. You would need to build or add the extraction and reflow steps yourself to get a formatted file back.
Q: Is Llama accurate for legal or financial translation? Llama can produce fluent translations, but it offers no terminology control, no custom glossary, and no format preservation — all critical for legal and financial documents. Bluente delivers 95% accuracy on legal terminology, trained on 500,000+ contract terms, with a glossary to lock regulated language.
Q: Is it safe to send confidential documents to a Llama-based tool? It depends entirely on the wrapper and where it runs. Self-hosted setups keep data local; hosted Llama bots do not. Bluente is SOC 2 Type II, GDPR, and ISO 27001 compliant, retains zero data, deletes files automatically within 24 hours, and never uses your documents to train AI models.
Q: What file types can Bluente translate? Bluente handles 27+ formats — PDF, DOCX, XLSX, PPTX, CSV, and scanned images (PNG, JPG, TIFF) — across 120+ languages, preserving the original formatting in every case.
Start translating documents for free. Bluente preserves your formatting across 120+ languages in under 2 minutes. Try BluTranslate free — no credit card required.