JOBA is an intelligent document automation platform that enables users to upload PDF files and automatically extract relevant information into structured web forms. Leveraging advanced Python-based PDF processing and AI agents, the system minimizes manual data entry by allowing users to either manually edit extracted fields or interact with an AI through text or voice commands. The AI understands user intent and fills the form on the user’s behalf, significantly improving speed, accuracy, and user experience.

Industry
Industry
Document Automation / AI Productivity / Intelligent Forms
Country
Country
India

Project Summary

JOBA was designed to eliminate repetitive manual data entry by enabling users to upload PDF documents and automatically extract relevant information into structured web forms. The platform uses advanced Python-based PDF processing combined with AI agents to intelligently interpret document content and map it into editable fields.

The primary focus of the project was on speed, accuracy, and intelligent user interaction. Special attention was given to allowing users to correct or modify extracted data either manually or through conversational AI—using text or voice—making form completion faster, more intuitive, and significantly less error-prone.

Key Support & Scope

  • PDF upload and automated data extraction
  • AI-assisted form filling via text and voice
  • Intelligent agent-driven instruction handling
  • Editable, structured web forms
  • Manual extraction of data from PDFs into web forms

  • Time-consuming and error-prone data entry

  • Rigid form systems with no intelligent assistance

  • Complex documents that require repeated corrections

  • Automated PDF Data Extraction

    Uploaded PDFs are processed using advanced document parsing to extract relevant fields automatically.

  • Uploaded PDFs are processed using advanced document parsing to extract relevant fields automatically.

    An intelligent agent understands user intent and fills or updates form fields on the user’s behalf.

  • Natural Language & Voice Interaction

    Users can instruct the system using plain text or voice commands to modify extracted data.

  • Human-in-the-Loop Editing

    Extracted data remains fully editable, allowing users to review and refine results easily.

  • Agent-Based Workflow Architecture

    AI agents coordinate document parsing, intent understanding, and form updates dynamically.

  • Python
  • FastAPI
  • React JS

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