Intelligent Document Processing

Make your text-based processes error-free, reduce human workforce involvement, and step-up document work efficiency by opting for custom intelligent solutions

At InData Labs, we help businesses adopt a state-of-the-art AI-driven approach to handling documents and facilitating management tasks. We create custom-tailored software for intelligent document recognition and processing from scratch. It’s your time to automate the process of retrieving and parsing valuable data from business-related and other documents.

Example of Intelligent Document Processing Solution

Have a look at the example of a project that was implemented by our team for one of our clients.
You can send a request to us to see the basic set of capabilities of an OCR solution that we can create based on your requirements tailored to your business needs.

  1. An automatic document recognition option to eliminate manual data entry.
  2. Categorization and review of extracted data.
  3. Validation of collected data and integration into existing software.

How You Can Benefit From Custom IDP Solutions

By opting for a custom IDP solution, you open up new automation opportunities for your business.
  • Highly Experienced Team
    Reduce Employee Workload
    • Reduced wage costs
    • Increased employee workflow satisfaction
    • Employee brand boost
    • Reduced hiring costs
  • Increase Data Processes Efficiency
    • Improved data quality
    • Improved data collection scope
    • Faster service
  • Customizable Solutions
    Reduce Risks
    • Minimized human contact with sensitive data
    • Compliance with stringent regulations

Simplified Document Processing for Your Goals

  • Finance & Banking
    • Know Your Customer (KYC) documents verification
    • Validation and processing of online loan applications
    • Audits
    • Finance & expense management solutions enhancement
  • Insurance
    • Claims processing
    • Credit checks
    • Invoice processing
    • Automation of accounts payable operations
  • Retail & Trade
    • Product categorization
    • Optical mark recognition for warehouse management
    • Optical barcode recognition for working with image files
    • Loyalty & rewards program operation
    • Shopper marketing & cash back boost
    • Panels & market research facilitation
  • Logistics & Supply Chain
    • Incident management
    • Reduction of delivery delays
    • Transport slot request management
    • Shipment status update
    • Supply & demand planning
  • Sales
    • CRM update
    • Scorecards update
    • Multi-step, repetitive task automation
  • Customer Relationship Management
    • Loading customer profiles
    • Getting billing data
    • User preferences and account information
    • Addressing common customer issues
  • HR
    • Candidate sourcing
    • Employment history verification
    • Absence management
    • Compensation claims processing
    • Know Your Customer (KYC) documents verification
    • Validation and processing of online loan applications
    • Audits
    • Finance & expense management solutions enhancement
    • Claims processing
    • Credit checks
    • Invoice processing
    • Automation of accounts payable operations
    • Product categorization
    • Optical mark recognition for warehouse management
    • Optical barcode recognition for working with image files
    • Loyalty & rewards program operation
    • Shopper marketing & cash back boost
    • Panels & market research facilitation
    • Incident management
    • Reduction of delivery delays
    • Transport slot request management
    • Shipment status update
    • Supply & demand planning
    • CRM update
    • Scorecards update
    • Multi-step, repetitive task automation
    • Loading customer profiles
    • Getting billing data
    • User preferences and account information
    • Addressing common customer issues
    • Candidate sourcing
    • Employment history verification
    • Absence management
    • Compensation claims processing

Handle Your Documents in 5 Steps

  1. Identify

    Different document types: scanned documents, PDF files, text files, emails, images taken by a digital camera, and other raw data sources.

  2. Categorize

    Classification by category, i.e., invoice, trade bill, timesheets, ID document, license, ticket, receipt, claims.

  3. Read

    OCR document processing, data capturing and recognition to put a source document in a machine-readable format for further use.

  4. Interpret

    Extract valuable data from the total amount of recognized data based on advanced machine learning capabilities.

  5. Exploit

    Take data-based actions: set up reminders, send notifications, store structured data, make a repayment, verify identities, and respond to customer queries.

We combine innovative technologies with a client-oriented approach. Let us create easy-to-use and reliable custom automated document processing software for your business. You can integrate it with your existing ERP/CRM system, application, or platform.

How Your Business Can Benefit From Developing Bespoke Solutions

Address your industry-specific needs by implementing automated document processing practices. Our custom IDP solutions are fueled by optical character recognition (OCR) and trained to pull valuable data from a range of different kinds of documents:
  • Invoice Processing

    Enhance accounts payable operations and eliminate manual data entry, validation, and classification. The main benefits are the reduction of costs, expedited workflows, resource redeployment for greater efficiency, and ROI increase.

  • Claims Processing

    Automate data capture from different types of claim forms, both written or printed, ensuring high accuracy of the results and allowing you to automatically flag fields containing possible errors and requiring review.

  • Ticket Processing

    Automatically process travel tickets, cheques, and traffic tickets. Reduce the burden of manual tasks, avoid common data entry errors, cut processing costs, and accelerate the entire workflow.

  • Driver's License Recognition & Processing

    Capture and extract data from driver’s licenses and other personal ID documents. Cutting-edge OCR algorithms and machine learning tools allow the retrieval of unstructured data irrespective of the format, document type, or country of origin.

  • Passport/Other ID Documents Processing

    Automate capture and verification of identity details through passport scanning. The use of OCR technology is the simplest way to find and process data from fields such as name, gender, date of birth, passport number, nationality, and more.

  • Receipts Processing

    Use automatic capture and verification of receipts data in real-time. Manage purchase validation, drive marketing programs, conduct real-time surveys, enhance expense management solutions and apps, and more.

Our Tech Stack

We use the latest technologies and tools to craft custom-made automated document processing solutions. Our engineers are continually enhancing their technical know-how.
Optical Character Recognition
  • abbyy technology
  • AWS amazon technology
  • technology tesseract ocr
Deep Learning & Computer Vision
  • tensorflow technology
  • technology openCV
  • amazon rekognition technology
Customer Success
Building optical character recognition solution
Building an OCR Solution for a Security Printing Technology Startup

The client: a Netherlands-based startup focused on creating technologies for the security printing industry to help brands combat counterfeits in the market. The client turned to InData Labs for an OCR and machine learning solution.

Image analysis OCR
OCR Image Analysis for Effective Ticket Processing

InData Labs was challenged to develop a fully-functional AI-powered solution aimed at automating compensation claims processing. Our team created a mobile OCR application able to recognize, classify, and validate different types of train tickets.

optical character recognition based solution
OCR-Based Solution to Retrieve Data From Raw Images

The client provided the InData Labs team with a mobile application designed to store digital receipts. The challenge was to amplify the app by integrating a machine learning solution. Our data scientists employed OCR technology and trained an algorithm to extract key data from source images and improve image quality using classical computer vision methods.

Contact Us

We’d love to discuss how InData Labs can work with you. Drop us a line about your project or describe a challenge your company needs help solving.

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