No single IDP platform suits every organisation. If most of your documents are in Thai, vary in layout, and you would rather not maintain templates, start by testing LuminexDoc. If your documents have fixed layouts and a team can maintain the configuration, evaluate ABBYY FlexiCapture. If your core systems already run on Azure or Google Cloud, evaluate that vendor's service as well.
WinnerSoft wrote this article and develops LuminexDoc. We leave out competitors' accuracy and price figures because we have not tested them on the same documents. Competitor details come from official documentation and can change, so confirm them with each vendor before you decide.
The four platforms compared
| Area | LuminexDoc | ABBYY FlexiCapture | Azure AI Document Intelligence | Google Document AI |
|---|---|---|---|---|
| Reading approach | Uses LLMs, with no templates to build | Configured and maintained per document type | Pre-built models, plus custom models | Pre-built processors, plus custom ones |
| Validation | The Pro package has three AI models compare every field and sends only disagreements to a person | Review set by the system's rules and workflow | Confidence scores inform review | Confidence scores inform review |
| Delivery | Web-based, with an API; can be deployed on-premises | Confirm deployment options with the vendor | Azure cloud and containers; offline use requires approval | A Google Cloud service |
| Thai language | Supported, and measured on your documents in a POC | Test on your documents | Test on your documents | Test on your documents |
| Pricing model | Annual packages by page volume; contact sales | Contact the vendor | Usage-based; see Microsoft for current prices | Usage-based; see Google for current prices |
| Support in Thailand | WinnerSoft's team | Confirm the local representative | Through Microsoft's partner network | Through Google Cloud's partner network |
Which one fits
- LuminexDoc: Thai or multilingual documents, layouts that change often, a need to deploy on-premises, or a need for the system to send only uncertain fields to a person
- ABBYY FlexiCapture: high volumes of fixed-layout documents, with a team to maintain the configuration
- Azure AI Document Intelligence: core systems on Azure, or calling it from applications you build
- Google Document AI: data and processing already on Google Cloud
How to run a fair test
- Use the same documents on every system, including your worst: skewed images, seals over text and handwriting
- Compare results field by field against answers a person has checked, not just an overall score
- Count wrong fields the system did not flag as uncertain, because those errors do the most damage
- Measure human time from receiving a document to posting it downstream, not only reading time
- Change a document layout and see what has to be reconfigured
Costs to count beyond the software
- Implementation, and integration with your ERP or downstream system
- Time spent maintaining templates, models or validation rules
- Time people spend reviewing uncertain documents and correcting wrong values
- Volume charges once production use exceeds the trial
Production evidence for LuminexDoc
LuminexDoc is in daily production use with a Japanese automotive parts manufacturer in Thailand, across tax invoices, invoices, receipts, debit notes and credit notes. The human time required per document fell by 70%, from 5.76 minutes to 1.75 minutes. That figure comes from one customer's process, so it is not a guarantee for every organisation.
To compare on your own documents, see the LuminexDoc page or contact our team to plan a test.
Frequently asked questions
Which IDP platform is best for Thai enterprises?
It depends on your documents, your existing systems and who will maintain the platform. The reliable method is to test each one on the same real documents, then compare field-level results and the human time required.
Does LuminexDoc need a template for each document type?
Reading a document does not require building a template. It uses LLMs to understand the document, so it can handle varied layouts. Test it on your own documents before relying on it.
Can LuminexDoc be deployed on-premises?
Yes. LuminexDoc can be deployed on-premises. Talk to our team about your data requirements and infrastructure before the project starts.
How accurate is LuminexDoc?
We do not quote a fixed figure, because accuracy depends on document quality and type. We measure it on your real documents during a POC.
Can Azure AI Document Intelligence run offline?
Microsoft offers containers for disconnected environments, but they require an approved application and carry licence conditions. Check the current terms with Microsoft.
