
Jay Sen Lon
June 22, 2026

HubDoc works well if every invoice your firm processes arrives in English, from suppliers who use Latin alphabets, with clean formatting. For firms serving clients in markets where that's not reality, HubDoc creates a predictable bottleneck. An invoice arrives in Japanese or Hebrew. HubDoc extracts a partial header at best, garbles the supplier name, and drops every line item. Your bookkeeper opens a translation tool and manually keys the data into Xero, line by line. Month-end closes slower, error rates rise, and the time saved by automatic document fetching gets spent on correction instead. If your firm handles clients with multilingual supplier bases, seven HubDoc alternatives for non-English invoices solve this differently, and the gaps between them matter more than pricing or feature counts suggest.
TLDR:

HubDoc is a document capture tool that Xero acquired in 2018. It works by letting you upload invoices, receipts, and bank statements, then extracting header-level data like supplier name, date, and total amount before pushing that data into Xero or QuickBooks Online.
For firms working with straightforward English-language documents, it handles the basics well. The fetch feature automatically pulls bills and statements directly from supplier portals, which removes a real chunk of manual collection work.
The limitation shows up when your documents fall outside that scope. HubDoc captures headers and totals, not line items, and its OCR was built around Latin-alphabet documents. Send it an invoice in Arabic, Chinese, or Hebrew and extraction accuracy drops considerably. Non-English OCR faces unique technical challenges that English-tuned engines weren't designed to handle.
HubDoc handles document collection cleanly. You connect your suppliers, it fetches invoices automatically, and your accountant sees an organized inbox. For firms working entirely in English, that workflow holds up well.
The problem shows up the moment a client sends an invoice in French, Mandarin, Arabic, or any language outside Latin-script English. HubDoc captures header-level data only, even on English documents. On non-English invoices, that limitation compounds: supplier names get garbled, amounts misread, and line items are dropped entirely because the OCR underneath was never built for multilingual documents.
For accounting firms with internationally-sourced clients, where language barriers and compliance complexity already compound the workload, this creates a familiar sequence:
HubDoc also has no line-item extraction at all, regardless of language. So even a clean English invoice from a domestic supplier comes through as header and total only, with no individual line items mapped to your chart of accounts.
If your firm handles clients with multilingual supplier bases, these gaps stop being edge cases and start showing up every week.
Seven tools made this list. Each one handles non-English documents differently, and the gaps between them matter more than they look on a feature page.

Tofu is an AI document processing tool built for accounting firms that work across languages, currencies, and document types. Upload an invoice in Arabic, Japanese, or Portuguese and Tofu extracts every line item, maps it to your chart of accounts, and publishes it directly to Xero or QuickBooks.
Where HubDoc captures a header and stops, Tofu goes line by line. Every supplier, every amount, every tax field, regardless of script or layout. That extraction happens across 200+ languages without any manual pre-sorting on your end.
The learning piece is what separates it from standard OCR. Tofu remembers how you code each supplier. A Thai freight invoice that took review in week one gets coded automatically by week four. "What used to take me 3-4 hours can be done in 30-60 minutes," said Tammy Tan of Klozer.
Pricing starts at $79/month (unlimited users, unlimited clients) with a free trial available.
Tofu handles invoices in over 200 languages, including Arabic, Hebrew, Chinese, Japanese, Thai, and Vietnamese, without requiring any manual pre-processing or template setup. Where HubDoc captures header-level data only, Tofu extracts every line item, maps it to your chart of accounts, and publishes directly to Xero or QuickBooks.
The AI learns from your corrections. Coding decisions you make in the first few weeks reduce manual review considerably as volume grows, so the tool gets faster and more accurate the more you use it with your specific clients.
Pricing is $199/month, covering unlimited users and up to 50 clients, roughly $4 per client per month, flat.
The table below covers the key differences across the tools most commonly considered when HubDoc's language and extraction limits become a problem.
| Feature | HubDoc | Tofu | Vic.ai | DOKKA | Datamolino | Dext |
|---|---|---|---|---|---|---|
| Line-item extraction | No (header only) | Yes (full line items) | Yes | Yes | Yes | Yes (paid add-on) |
| Language support | English only | 200+ languages | Multi-language (ERP-focused) | English, Hebrew, Italian, Spanish only | Latin scripts only | Latin scripts only |
| Handwriting recognition | No | Yes | Limited | No | Via human review (24hr wait) | Limited |
| Setup time | Minutes | 15 minutes, zero config | Weeks (ERP implementation) | Days | Days | Minutes |
| Pricing model | Per user | Flat monthly, unlimited users and clients | Per document or enterprise contract | Per user | Per document | Per document or credit |
| Accounting software integrations | Xero, QuickBooks | Xero, QuickBooks (native) | ERP-focused | Xero, QuickBooks | Xero, QuickBooks, Sage | Xero, QuickBooks, Sage |
| Built for multi-client firms | No | Yes | No | Partial | Yes | Yes |
A few things in this table are worth pausing on. HubDoc captures header-level data only, which means supplier name, date, and total but none of the line items in between. For a firm processing invoices in Japanese, Arabic, or Vietnamese, that gap is doubled: you get incomplete data, in a language the tool was never built to read.
Tofu is the only tool in this list that covers all three gaps at once: full line-item extraction, 200+ languages including non-Latin scripts and handwriting, and a flat pricing structure that does not penalize you for growing your client base. Setup takes around 15 minutes with no configuration required, and the AI learns your coding preferences from corrections made in the first few weeks, reducing manual review considerably as volume grows.
Vic.ai and DOKKA handle multi-language invoices better than HubDoc, but both carry enterprise-level implementation overhead and pricing structures built for large buyers, not mid-size accounting firms. Datamolino and Dext stop at Latin scripts, which rules them out for firms serving clients in East Asia, the Middle East, or anywhere outside Western Europe and the Americas.
Tofu was built for exactly the problem HubDoc leaves unsolved. While HubDoc handles document storage and basic header extraction well, it captures supplier name, date, and total only. For firms processing invoices in Arabic, Japanese, Mandarin, Hebrew, or any non-Latin script, that means you're still opening each document, reading it manually, and typing every line item yourself.
Tofu extracts full line-item data from invoices in 200+ languages, including right-to-left scripts and complex character sets. Upload a 34-line invoice from a Bangkok freight supplier, and Tofu extracts and maps every line item, then publishes directly to Xero or QuickBooks. No manual re-entry.
The AI learns your coding preferences over time. Corrections made in the first few weeks reduce manual review considerably as volume grows, so the more you process, the less you touch.
Pricing is flat: $199/month covers 50 clients with unlimited users, roughly $4 per client per month. HubDoc charges per user, which compounds quickly as your firm grows.
"What used to take me 3-4 hours can be done in 30-60 minutes." - Tammy Tan, Klozer
Tofu sits before your accounting software, not inside it. It handles the extraction and coding layer, then hands off clean, mapped data to Xero or QuickBooks. Reconciliation happens inside your accounting software exactly as it always has, only now the data arrives already coded correctly.
If your firm processes invoices in more than one language, or has clients in markets where non-Latin scripts are standard, HubDoc's header-only capture creates a manual bottleneck that Tofu removes entirely.
Tofu extracts full line-item data from invoices in 200+ languages, including non-Latin scripts like Arabic, Hebrew, Chinese, Japanese, Thai, and Vietnamese. There's no manual pre-sorting, template setup, or format conversion required before upload.
Tofu is $199/month for up to 50 clients with unlimited users, roughly $4 per client per month, flat, with no per-document fees. HubDoc charges per user, which compounds as your firm adds staff and clients.
Setup takes about 15 minutes with no configuration required. You can upload one of your own non-English invoices and see whether it extracts every line item correctly right away.
No. Tofu sits before your accounting software as the document processing layer. It extracts and codes line items, then publishes clean, mapped data to Xero or QuickBooks, where reconciliation happens exactly as it always has.
Tofu learns how you code each supplier. Coding decisions you make in the first few weeks reduce manual review considerably as volume grows, so a supplier invoice that took review in week one gets coded automatically a few weeks later.
If your clients send invoices in languages HubDoc wasn't built to read, you already know the workaround: open, translate, type, repeat. The firms closing month-end faster are the ones who replaced that sequence with a tool that extracts, learns, and publishes automatically, regardless of language or script. Try Tofu on your own invoice: setup takes about 15 minutes, and you'll know immediately whether it handles your actual documents or not.
If you're processing invoices in languages beyond English, HubDoc's extraction accuracy will drop considerably and require manual correction. The gap widens when your documents arrive in Arabic, Chinese, Japanese, or other non-Latin scripts, where HubDoc's OCR wasn't built to handle character sets accurately.
Look for full line-item extraction across all languages your clients use, beyond header-level capture. The tool should handle right-to-left scripts, complex character sets, and handwriting without requiring manual pre-processing or format conversion before upload.
Header-only tools capture supplier name, date, and total amount, leaving you to manually enter every individual line item into your accounting software. Line-item extraction pulls each line from the invoice separately, maps it to your chart of accounts, and publishes all of it directly to Xero or QuickBooks without manual entry.
Most document processing tools handle bank statements in English only or restrict uploads to PDF format, requiring conversion before processing. Tools built for multilingual workflows extract transaction-level data from bank statements in any language and accept image uploads directly, removing the format-conversion step entirely.
