Sold by: Mphasis
Deployed on AWS
This solution identifies financial statements in an annual report and classifies them into Profit and Loss, Balance Sheet, and Cash Flow.
Overview
This solution takes an annual report in a digital pdf format as input, and returns the page numbers of the document that correspond to each of the following categories: Cash Flow, Profit and Loss, and Balance Sheet. The solution utilizes computer vision techniques to identify the pages with tables, as well as text-based classification techniques to determine the relevance of the pages in question. It returns the relevant page numbers quickly, so an individual does not have to go through the complete document to find the specific statements from hundreds of pages in the report .
Highlights
- The Financial Statements Content Classifier uses text classification techniques to identify and sort the pages of interest into the general categories of financial statements.
- This solution can be used in industries like consulting, banking, financial services, insurance, retail, healthcare, pharmaceuticals, manufacturing, airlines, etc to automate processes like financial spreading, vendor/merchant risk assessment, fundamental analysis etc.
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Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $10.00 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $5.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $10.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $10.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $10.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $10.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $10.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $10.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $10.00 |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
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Version release notes
Bug fixes and enhancements
Additional details
Inputs
- Summary
Usage Methodology for the algorithm:
- The input must be 'Input.zip' file.
- The zip file should contain Input file which has a .pdf file.
- The PDF file should be a non-encrypted digital file with content not as scanned images.
- Name of the folder inside the zip file should be “Input” which is case-sensitive
- check the instructions and sample endpoint in the sample jupyter file provided.
- Limitations for input type
- only one pdf in a zip file
- Input MIME type
- application/zip
https://github.com/Mphasis-ML-Marketplace/Financial-Statements-Content-Classifier/blob/main/Input/Input.zip
https://github.com/Mphasis-ML-Marketplace/Financial-Statements-Content-Classifier/blob/main/Input/Input.zip
Resources
Vendor resources
Support
Vendor support
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