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Case Study

Xtracta

2024 Live 7 months 2 Devs Ai Extraction
Xtracta - product screenshot

Overview

An AI-powered PDF data extraction platform with template management, AI integration (DeepSeek, Gemini), subscription management, and comprehensive API access.

Business Challenge

Businesses receive data locked inside PDFs — invoices, forms, statements — and staff manually re-key it into systems, slowly and with errors.

Why It Was Built

Built to turn PDFs into structured data automatically using AI extraction, so documents flow into systems without manual re-typing.

Target Users

Operations teams, accountants, and data-entry-heavy businesses processing PDF documents at volume.

Architecture

Laravel 12 pipeline: upload → text/table extraction → AI parsing (DeepSeek + Gemini) → validated structured output; queued processing for large batches; confidence scoring flags low-quality extractions for review.

Deployment

Laravel app on VPS with MySQL and dedicated queue workers for AI extraction jobs.

Scalability

Queue-based extraction scales to bulk document batches; AI provider abstraction allows swapping models.

Challenges

  • Manual data extraction
  • Time-consuming processing
  • No AI integration
  • Limited scalability

Solutions

  • AI-powered extraction
  • Template management
  • Batch processing
  • API access

Summary

AI-powered PDF data extraction using DeepSeek and Gemini — documents to structured data. Live at xtracta.in.

Technologies Used

Laravel 12 PHP 8.2+ MySQL DeepSeek AI Gemini AI Laravel Queues Redis

Third-Party Integrations

  • DeepSeek AI
  • Google Gemini AI
  • PDF parsing pipeline
  • Queue workers
  • Structured JSON/CSV export

Screenshots

Results & Metrics

Automated extraction

Reduced manual effort

Scalable processing

API integration

PDFs that took an afternoon to process now finish in minutes — with better accuracy.

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Xtracta Team
Product

Project Timeline

Phase 1: Core platform foundation

Phase 2: Template management

Phase 3: AI integration

Phase 4: Batch processing

Phase 5: Subscription system

Phase 6: API development

Phase 7: Export features

Try It Live

Experience the product in action

Measurable Outcomes

Document-to-data time reduced from minutes-per-page to seconds-per-document with AI-verified accuracy.

Designed & developed by Ankush Gautam

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