Ephesoft (Tungsten Transact) vs Google Document AI
invoice & document OCR head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Annual subscription, quote-based by volume and deployment | Pay-per-page API pricing, no subscription |
| Deployment | Cloud, On-premise, Hybrid | Cloud |
| Company size | Mid-market, Enterprise | Mid-market, Enterprise |
| Stated ERP integrations | SAP, Oracle Fusion Cloud, NetSuite, Microsoft Dynamics 365, Infor, Acumatica, Workday | None listed |
| Vendor | Tungsten Automation | Google Cloud |
Our take
Where Ephesoft (Tungsten Transact) leads
- Stronger evidenced coverage on 11 of the 24 capabilities where they differ (led by multi-channel document intake and prebuilt erp connectors).
- Stated SAP, Oracle Fusion Cloud, NetSuite, Microsoft Dynamics 365, Infor, Acumatica, Workday integration the alternative doesn't list.
Where Google Document AI leads
- Stronger evidenced coverage on 13 of the 24 capabilities where they differ (led by checkbox / selection-mark detection and per-field confidence scoring).
Where they differ
The 24 capabilities (of 61 in the invoice & document OCR taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Checkbox / selection-mark detectionOCR & Recognition Engine | Not evidenced | Core strength Form Parser checkboxes |
| Per-field confidence scoringStructured Data Extraction | Not evidenced | Core strength Structured Document output with per-field confidence scores |
| Receipt & expense extraction modelPretrained Business Document Models | Not evidenced | Core strength Expense Parser |
| Bank statement extraction modelPretrained Business Document Models | Not evidenced | Core strength Bank Statement Parser |
| Tax form extraction modelPretrained Business Document Models | Not evidenced | Core strength W2 Form Parser |
| Low-code / no-code model builderModel Customization & Continuous Learning | Not evidenced | Core strength Document AI Workbench console |
| Model accuracy evaluationModel Customization & Continuous Learning | Not evidenced | Core strength Processor evaluation and accuracy metrics |
| Multi-channel document intakePlatform, Ingestion & Developer Tooling | Core strength Scanners, email, web upload, and mobile | Not evidenced |
| Prebuilt ERP connectorsSecurity, Compliance & ERP Integration | Core strength Certified connectors for SAP and Oracle E-Business Suite; Dynamics and Infor connectors | Not evidenced |
| Barcode & QR code readingOCR & Recognition Engine | Supported | Not evidenced |
| Specialized vertical document modelsPretrained Business Document Models | Not evidenced | Supported Utility Parser; Pay Slip Parser |
| Zero-shot / few-shot extractionModel Customization & Continuous Learning | Supported Learns from a single training sample | Not evidenced |
| Confidence-based field routingHuman-in-the-Loop Review | Supported Automated data-type and field validation checks | Not evidenced |
| Exception queue managementHuman-in-the-Loop Review | Supported Exception flagging for human review | Not evidenced |
| RPA platform connectorsPlatform, Ingestion & Developer Tooling | Supported Connectors for UiPath, Blue Prism, Automation Anywhere | Not evidenced |
| Sandbox / live test environmentPlatform, Ingestion & Developer Tooling | Not evidenced | Supported Document AI Workbench console |
| Mobile / embedded capture SDKPlatform, Ingestion & Developer Tooling | Supported Mobile capture channel | Not evidenced |
| iPaaS connectivitySecurity, Compliance & ERP Integration | Supported iPaaS connectors (Workato and others) | Not evidenced |
| Template-free classificationDocument Classification & Splitting | Core strength Trained from as few as one sample per document type | Supported Generative-AI extraction for free-form text and complex layouts |
| Custom / configurable field extractionStructured Data Extraction | Supported | Core strength Custom Extractor for fields specific to a document type |
| Invoice extraction modelPretrained Business Document Models | Supported Core use case is AP invoice capture (see integration notes) | Core strength Invoice Parser |
| Identity document modelPretrained Business Document Models | Supported ID extraction for government-issued identity documents | Core strength US Driver License and US Passport parsers; Identity Document Proofing |
| Review / validation workstationHuman-in-the-Loop Review | Core strength Web-based validation/review screens | Supported Document and prediction review for human-in-the-loop QA |
| Fraud & document forgery detectionAP & Financial Document Automation | Not evidenced | Partial Identity Document Proofing includes fraud-signal detection, ID documents only |
Both grade identically on the other 37 capabilities — see each product's full profile: Ephesoft (Tungsten Transact), Google Document AI.
Ephesoft (Tungsten Transact) vs Google Document AI — FAQs
Is Ephesoft (Tungsten Transact) or Google Document AI better for ERP integration?
They state different ERP coverage: Ephesoft (Tungsten Transact) lists SAP, Oracle Fusion Cloud, NetSuite, Microsoft Dynamics 365, Infor, Acumatica, Workday; Google Document AI lists no ERP integrations publicly.
Which is cheaper, Ephesoft (Tungsten Transact) or Google Document AI?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Ephesoft (Tungsten Transact) and Google Document AI should each cost you — and whether a third option belongs on your shortlist.