DocuHonyaku
Summary
You translate a research paper, open the result, and spend forty minutes rebuilding the two-column layout, repositioning figures, and re-entering equations the translation tool wiped out — DocuHonyaku exists because that cycle is the default experience everywhere else.
DocuHonyaku accepts PDF, Word, Excel, PowerPoint, scanned documents, images, EPUB, and subtitle files, and the vendor states the output lands in the same format with tables, equations, column structure, and footnote positions intact. The pipeline runs structure analysis first, then AI-based OCR for scans, then translation, then layout reconstruction — each step surfaced in real time during processing. The free tier allows 20 pages per month after registration with no credit card required, which is enough to verify layout fidelity before committing. There is no API and no self-hosted option, so teams that need to embed translation into an internal pipeline or keep data off third-party servers hit a wall immediately. Scanned pages count double against the page quota, which compresses effective capacity for contract-heavy or scan-heavy workflows.
Bottom line: Reach for DocuHonyaku when a researcher needs a two-column academic PDF translated with equations and figures in place by end of day — look elsewhere when your team needs an API to automate translation at scale or a self-hosted deployment that never touches external servers.
Pricing Plans
Subscription- Free Tier
- 20 pages per month after registration; preview without registration; scans count as 2 pages each.
FREE
20 pages per month after free registration; 1 file, 20MB limit. Preview available without registration.
- 20 pages/month
- Registration required for download
ライト
200 pages per month; 1 file, 50 pages/50MB limit.
- 200 pages/month
- Annual discount
スタンダード
800 pages per month; 1 file, 100 pages/100MB limit.
- 800 pages/month
- Annual discount
プレミアム
2500 pages per month; 1 file, 300 pages/1GB limit.
- 2500 pages/month
- Annual discount
PASS
Single-use ticket for 50 pages, valid 1 year, no auto-renewal.
- 50 pages one-time
- No subscription
View full pricing on docuhonyaku.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Layout reconstruction covers two-column PDFs with equations, merged Excel cells, and PowerPoint figure placement, which means the translated file is immediately usable without manual reformatting — the work that typically consumes more time than the translation itself.
- AI-based OCR on scanned documents reads context rather than character shapes alone, so a scanned contract with imperfect print quality produces a readable translated draft rather than garbled output.
- Files are auto-deleted within 72 hours and the vendor explicitly states documents are not used for model training, which means teams can pass internal compliance review without a data processing agreement negotiation for most non-regulated contexts.
- A one-time page-bundle purchase option exists alongside subscriptions, so teams with occasional high-volume needs avoid paying for a monthly quota they will not consistently use.
- Registration-free preview translation lets you test the actual pipeline on your own file before creating an account, so layout fidelity is verifiable against your specific document type before any commitment.
Cons
Sign in to edit- There is no API and no webhook or integration layer, so any team that needs translation embedded in a document pipeline — triggering on upload, feeding output to a downstream system — must build a manual handoff step around every translation, and teams with that requirement switch to a provider with a documented API.
- Scanned pages consume double the page quota, so a workflow built around scanned invoices or contracts on the free or entry-level paid tier runs out of capacity at half the apparent page limit — teams processing high volumes of scans recalculate their cost assumptions and often move to a higher tier than initially planned.
- Self-hosting is not available, meaning any organization whose data governance policy prohibits uploading documents to third-party cloud services cannot use this tool at all, regardless of the auto-deletion policy — that is a hard stop that redirects teams to self-hosted alternatives or internal LLM deployments.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-20T03:35:34.597Z
Best For
Who it's for
- Researchers translating academic PDFs
- Business users handling Office documents
- Teams needing quick layout-preserving translations
- Legal or administrative staff working with scans
What it does well
- Translating research papers with equations and figures intact
- Converting multilingual Excel manuals or data sheets
- Translating scanned contracts or invoices
- Creating localized PowerPoint presentations
- Handling image-based documents like screenshots
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Frequently Asked Questions
- Is DocuHonyaku free?
- DocuHonyaku has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is DocuHonyaku open source?
- No — DocuHonyaku is a closed-source tool. Source code is not publicly available.
- What platforms does DocuHonyaku support?
- DocuHonyaku is available on: Web.
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DocuHonyaku is a document translation service built around a single promise: the translated file looks like the original, just in a different language. The workflow is upload-and-download — drag a file onto the interface, pick a target language, and receive the translated document in the same format. No manual reformatting, no copy-pasting into a new template. The vendor states files up to 1 GB are accepted, and supported formats span PDF, DOCX, XLSX, PPTX, scanned PDFs, image files, EPUB, and SRT/VTT subtitle files.
The differentiating claim is layout preservation at a structural level rather than a cosmetic one. The vendor describes a four-stage pipeline: structural analysis to map columns, tables, figures, and equations; AI-based OCR (not traditional character recognition) for scans so context informs reading; LLM-based translation that carries meaning across sentence boundaries; and a reconstruction step that writes the output back into the original file format. A before/after example on the vendor page shows a two-column English academic paper — equations in LaTeX-style notation, figure captions, footnotes — rendered in Japanese with the same spatial arrangement.
This fits research and business workflows where a document goes directly back into use after translation: a grad student reading a paper alongside the original, a manufacturing team distributing a localized Excel spec sheet, a legal office reviewing a scanned contract draft. It does not fit teams that need to automate translation through an API, integrate with a document management system, or keep files entirely within their own infrastructure — there is no API, no integration layer, and no self-hosted option. The 72-hour auto-deletion policy and stated no-training commitment address compliance questions for many teams, but regulated industries requiring on-premises data handling have no path forward here.