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Dataleon

Dataleon is an AI-powered document processing platform that extracts structured data from invoices, bank statements, and government documents. The system enables users to analyze documents, retrieve key information, and download processed data, improving accuracy and efficiency in document handling.

Dataleon

Client Requirements:

Automated Document Data Extraction
Provide AI-powered extraction of structured data from various document types.
Downloadable & Structured Outputs
Enable users to export extracted information for reporting and record-keeping.
Multilingual & User-Friendly Interface
Deliver an intuitive interface with multi-language support for global users.

Problem:

Manual Document Data Extraction
Processing invoices, bank statements, and official documents manually is time-consuming and prone to human error.
Difficulty Handling Multiple Document Formats
Organizations struggle to extract relevant information from diverse document types and layouts.
Limited Accessibility & Language Support
Global users require multilingual interfaces and accessible tools to process documents efficiently.

Results & impact:

Significant Time Savings
Automated document extraction reduced manual processing time and improved operational efficiency.
Improved Data Accuracy
AI-driven extraction minimized human errors in financial and official document handling.
Enhanced Global Accessibility
Multilingual support enabled broader adoption across diverse user groups.

Features list:

  • AI-based invoice & document data extraction
  • Support for bank & government document parsing
  • Structured data visualization interface
  • Download & export processed data
  • GraphQL-powered document retrieval
  • Multilingual interface (i18n)
  • Secure document handling
  • Responsive & user-friendly UI
  • Performance-optimized document rendering

Tech Stack

React.jsTypeScriptReduxMaterial UI (MUI)PythonDjangoGraphQL APIsAI Document ProcessingREST Integration

Team Size

4

Development Time

3 weeks

Status

Successfully Delivered

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