ExtractFox vs Kofax (Tungsten Automation)
Kofax (now Tungsten Automation after rebranding) is a full RPA + IDP platform: powerful when the whole stack is deployed, but heavyweight if you only need document extraction. ExtractFox delivers the extraction piece — structured output from any document — without the platform.
The short version
Kofax, rebranded to Tungsten Automation in 2023, sells an integrated intelligent automation platform: RPA (TotalAgility), document capture (Capture), analytics, and connectors. The document extraction component is capable and battle-tested in enterprise AP and mailroom workflows. But getting to it requires buying and deploying the platform, configuring document classes, and building or buying the workflow. ExtractFox is the extraction capability without the platform requirement.
Side by side
| Feature | ExtractFox | Kofax (Tungsten Automation) |
|---|---|---|
| Platform required | — | Full Tungsten/Kofax platform |
| Document class configuration | None | Per document type |
| RPA integration | Via API | Native (TotalAgility) |
| Self-serve | ✓ | Implementation project |
| Free tier | ✓ | — |
| Transparent pricing | ✓ | Quote-based |
| On-premise deployment | Enterprise plan | ✓ |
| Pre-built connectors (SAP, Oracle) | API | ✓ |
| Free-text extraction | ✓ | — |
| Time to first extraction | 30 seconds | Months |
Why teams switch from Kofax (Tungsten Automation)
If you need to extract data from invoices or contracts — not automate an entire AP or mailroom workflow — the Kofax/Tungsten stack is massive overhead. ExtractFox is just the extraction part, accessible via API or UI.
A Kofax implementation typically takes months and involves a reseller or system integrator. ExtractFox is live in minutes.
Tungsten Automation licenses are complex — platform, connectors, user seats, document volumes all priced separately. ExtractFox is a flat monthly subscription.
Kofax's core OCR and capture technology is mature but old. A new multimodal model handles photos, unusual layouts, and multi-language documents better than the legacy capture stack.
Pricing
Free tier and a flat Pro subscription.
Annual enterprise licensing, typically six figures for a full deployment. Priced by platform components, user seats, and document volume. Requires a reseller or direct enterprise sales process.
ExtractFox is the right choice for teams that need document extraction without the RPA platform overhead. Kofax/Tungsten is justified when you need the full integrated automation suite, existing SAP/Oracle connectors, or the established enterprise SLA.
When Kofax (Tungsten Automation) is the better pick
Pick Kofax/Tungsten if you need the full TotalAgility RPA platform, you have existing Kofax implementations running critical AP or mailroom workflows you can't disrupt, or you need the deep pre-built connectors to SAP, Oracle, and other legacy ERPs.
Frequently asked questions
Is ExtractFox an alternative to Kofax for invoice processing?+
Yes for the extraction step — vendor, dates, line items, totals from any invoice. ExtractFox doesn't include the full AP workflow (validation queues, three-way matching, ERP posting) that Kofax's platform provides. Teams use ExtractFox's API to feed the extraction output into their own workflow.
What happened to Kofax?+
Kofax rebranded to Tungsten Automation in 2023 following its acquisition by Clearlake Capital. The product portfolio (TotalAgility, Capture, Power PDF) continues under the Tungsten name.
How does AI extraction compare to Kofax's OCR on invoice accuracy?+
On standard invoice fields, comparable to slightly better for photos and unusual layouts. Kofax's OCR has been tuned specifically for document capture and handles some edge cases in large structured forms where general AI models are less reliable.
Can I replace just the Kofax Capture component with ExtractFox?+
Yes. If you're using Kofax Capture for extraction and routing the output into your own workflow, ExtractFox's API fits the same role with less setup. The output JSON replaces Kofax's structured output in your existing downstream process.