Quick facts
- Best for
- Document processing
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0

About Finigami
Finigami offers AI-based document processing solutions designed to deliver accurate insights from various types of documents instantly. The technology requires no specific training and continues to function efficiently, even with changes in the document format. It is versatile in handling different types of documents and languages, including handwritten ones. Finigami's solutions are being employed across various industries. In KYC and financial document analysis, the tool facilitates data extraction from documents like ITRs, payslips, and invoices to assist in assessing client earnings for loan offerings. For the insurance industry, Finigami accelerates the selling and claim processing by swiftly handling documentations in the onboarding and claim process. The tool also assists healthcare domain in digitizing information from handwritten prescriptions, medical bills, and health claims.Working with Finigami involves five main steps. It imports data from various sources and through a single API endpoint, it runs the processing workflow. It verifies the document's categorization and quality. Then the custom AI model is used to extract the relevant data. The extracted data undergoes validation and enrichment for decision making. Finally, the processed data can be integrated with the user's own database or other platforms.
Pros
- No training required
- Adapts to format changes
- Versatile document handling
- Multi-language support
- Handwritten document processing
- Useful in multiple industries
- Assists in KYC processes
- Facilitates loan offerings
- Accelerates insurance procedures
- Digitizes healthcare info
- Simple workflow
- Single API operation
Cons
- Pricing details not clear
- No offline functionality
- Only single API endpoint
- No specific training provided
- Handwritten document processing limit unspecified
- No on-premises version availability
- Inefficient with low-quality documents
- Integration complexity might exist
- Dependent on external data sources
- Unclear data enrichment scope