Omnitive Extract - Bank Cheques
Taiger Singapore Pte Ltd · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Extract is an Intelligent Reading tool that can read, understand and derive information from complex, unstructured data in any language or format. Using our proprietary Cleansing, Classification, Optical Character Recognition and Natural Language Processing capabilities, Omnitive Extract works well with both Hard-Copy (Scanned or Photo) and Soft-Copy documents. It processes heaps of document types to extract information that is most relevant to your business. In the past, we have process simple, Structured Documents (Ex. Passports), Semi-Structured Documents (Ex. Invoices), and Unstructured Documents (Ex. Annual Reports or Legal Documents) with >80% accuracy.
What is this solution?
Show the rest of the publisher’s description (12 more lines)
The solution helps organisations to speed up cheque processing by capturing key data points within a cheque.
What should I expect?
The system is trained to extract the data points from bank cheques, if the data is present on the document. The following are the data points that the system is trained to extract:
- Bank Name
- Payee Name
- Cheque Date
- Cheque Amount
Should you encounter any empty fields or “NA”, the following are some of the possibilities:
- Data point is not present on the document, masked/covered, noise (caused by handwritten text, stamps, etc).
- The model is not trained based on your sample document
Note: Unlike most capturing software out there, we do not use templates. The system is trained based on variances - the more varying documents the system is trained on, the more accurately it can extract any varying types of the document.
Reach out to the TAIGER team if you encounter any issues with the extraction or if you wish to understand how our technology works.
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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Sources
Publisher resources
5 linksLinked repositories
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