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Omnitive Extract - Invoices

Taiger Singapore Pte Ltd · Finance & Accounting

SaaSNo attestation published

Certification per Microsoft Marketplace.

purchase ordersdocument extractionocr
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

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 (16 more lines)

Processing of invoices has always been a rush for the finance team at the end of every month. Over the years, organizations have tried to adapt their processes to speed up the process with little success. It was a challenge for RPA solutions to address this need due to the countless types of invoices from suppliers. With Omnitive Extract, the model is trained to extract the data points for backend processing.

What should I expect?

The client whom we have implemented this project for has experienced* the following:

  • 72% reduction in total processing time
  • 48.8% successful completion of payments, 1.5x higher than the competitor benchmark
  • >92% extraction accuracy
  • Note that every client’s experience differs, and the above figures are for references and not a commitment in any form.

The system is trained to extract the data points from invoices, if the data is present on the document. The following are the data points that the system is trained to extract:

  • Invoice Number
  • Start Date
  • Total Amount
  • Currency
  • Payment Terms
  • Company Name
  • To Date

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

3 images
Omnitive Extract - Invoices preview 1Omnitive Extract - Invoices preview 2Omnitive Extract - Invoices preview 3

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

4 links
Supporttaiger.comSource
Supporting Documentscatalogartifact.azureedge.netSource
Talk to Ustaiger.comSource
Omnitive Extract: Intelligent Document Processingwww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://taiger.com/contact-us
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