AI Powered Data Capture Tool

aiMunshi is a hassle-free invoice data processing tool, which performs seamlessly to record and retrieve transactions using Artificial Intelligence

How AIMUNSHI works?

Integrate seamlessly into customized processes and workflows

Import Financial Documents
01

Import your Financial PDFs

Reading the PDF invoice
Financial documents are transmitted through API calls or emails.
aiMunshi processes these files and customizes them for incorporating into deep learning model.

02

Deep Learning

Create customized file
Using Deep Learning based Computer Vision model, aiMunshi identifies and learns data patterns in the invoice, extracts the pattern content and stores in desired format.

Import Financial Documents
03

Save File
Structure in Database?

Yes

Store
Output Fields

Validate Extracted Data
The output values are stored, along with error logs and confidence levels.

Import Financial Documents

No

Invalid data returns error,
proceed to Step 04

04

User Consumption

aiMunshi enables intelligent retrieval of transactional output data in desired formats, into the ERP or accounting system for the end-users.

Invoice result validation

Why Are We Different

aiMunshi is an intelligent financial data extraction and validation tool that helps enterprises save costs on overpayments and financial misreporting.
It allows the users to retrieve automatic alerts on transactions, along with analytics reporting with real-time figures.
More importantly, the invoice data capture and storage capabilities drives rapid processing of data with vendors in real-time.
aiMunshi has evolved as the feasible option for firms wanting to automate their entire financial functions with innovative and intelligent tools.
1
E-mail with Auto-Processing
E-mail with Auto-Processing

All the financial documents such as invoices and credit notes that are sent through email can be stored and processed within file systems using RPA powered by UiPath.

2
Automated Information extraction
Automated Information extraction

The tool is capable of extracting required data-fields and line items and details from the desired invoices and credit notes as underlined by accounts function.

3
Flexible Output Format
Flexible Output Format

The extracted information is displayed in any of the desired formats of choice including JSON, PDF or CSV. The same is stored into an output file specified with selected path.

4
Database Storage
Database Storage

The tool stores the extracted information into databases of choice. The major fields are stored as individual columns whilst the line items are stored in JSON fields.

5
Complete Automation
Complete Automation

All the important tasks including receiving, extraction, format conversion, and storage of data in the desired format is fully managed with RPA-powered automation tool.

6
Confidence Levels
Confidence Levels

Data stored from invoices and credit notes and converted to processed files is distributed across three confidence levels, namely Low, High, and Medium (Kindly refer the appendix).

7
Line Item Extraction Accuracy
Line Item Extraction Accuracy

aiMunshi is effective for precise billing of different projects for a client. The tool can extract individual items from columns representing multiple projects with great consistency

8
Process logging
Process logging

aiMunshi can store information on log processing, and translate the technical error or success messages into business-specific terms for end-users efficiently

Confidence Levels

Low

If any of the following fields cannot be extracted:

  • Branch ID
  • Vendor Code

Or

If any two or more of the following fields cannot be extracted:

  • Invoice Number
  • Invoice Date
  • Total
  • Sub Total
  • GST

Free Trial

Medium

The following fields can be extracted:

  • Branch ID
  • Vendor Code

Or

If any two or more of the following fields cannot be extracted:

  • Invoice Number
  • Invoice Date
  • Total
  • Sub Total
  • GST

Or

If all required fields are extracted but line items cannot be extracted

 

Free Trial

High

The following fields can be extracted:

  • Branch ID
  • Vendor Code

Or

The following fields can be extracted:

  • Invoice Number
  • Invoice Date
  • Total
  • Sub Total
  • GST

Or

If all required fields and all line items are extracted.

Free Trial