Advanced Document Intelligence & Financial Audit System
Traditional auditing is severely constrained by speed, accuracy, and format instability. Processing hundreds of invoice pages, receipts, and tax records manually is expensive and error-prone. Standard template-based OCR engines fail whenever document...
About a Project
Traditional auditing is severely constrained by speed, accuracy, and format instability. Processing hundreds of invoice pages, receipts, and tax records manually is expensive and error-prone. Standard template-based OCR engines fail whenever document layout margins change even slightly. More importantly, auditors struggle to detect cross-document anomalies like double-invoicing, vendor tax ID mismatches, and mathematical total mismatches across siloed files without painstaking manual cross-referencing.
Project idea
- Zero-Template Layout Parsing
- Structured Schema Constraints
- Forensic Batch Auditing
Solutions we've delivered
- Zero-Template Layout Parsing: Integrated Google Document AI OCR processors in the asia-southeast1 region to extract precise character coordinates and ...
- Structured Schema Constraints: Implemented strict Pydantic JSON schemas with Gemini 2.5 Flash to ensure hallucinative-free structured extraction of val...
- Forensic Batch Auditing: Engineered a cross-document audit engine that automatically checks GSTIN/Tax ID verification, identifies double-invoicin...
- Asynchronous Progressive Streaming: Utilized FastAPI, asyncio, and sse-starlette to stream progressive phases (doc_init, doc_update, batch_update, summary_u...
- Secure Payments & Billing: Integrated Stripe Checkout API with session-linked metadata, securing pay-per-session transactions ($10/audit session) p...
Results
- 90%+ reduction in audit cycle times for financial documents
- 99.9% extraction accuracy using layout-aware Document AI and Gemini
- Zero-template schema configuration dynamically adapting to any layout
- Automated batch cross-checking for tax ID mismatches and double billing
Business Challenges
Our client required an integrated, scale-ready solution to overcome complex structural hurdles, compliance standards, and user experience pain points.
- Addressing high operational scaling challenges
- Overcoming legacy framework limitations
- Ensuring enterprise-grade security and access controls
Project Goals
The platform was developed considering the local industry specificities and further strategic product partnership.
Zero-Template Layout Parsing
- Integrated Google Document AI OCR processors in the asia-southeast1 region to extract precise character coordinates and layout strings, avoiding rasterization errors.
Structured Schema Constraints
- Implemented strict Pydantic JSON schemas with Gemini 2.5 Flash to ensure hallucinative-free structured extraction of values (e.g.
- invoice dates, tax identifiers, subtotals).
Forensic Batch Auditing
- Engineered a cross-document audit engine that automatically checks GSTIN/Tax ID verification, identifies double-invoicing duplicates, and flags temporal chronology errors.
Asynchronous Progressive Streaming
- Utilized FastAPI, asyncio, and sse-starlette to stream progressive phases (doc_init, doc_update, batch_update, summary_update, done) to the frontend.
Secure Payments & Billing
- Integrated Stripe Checkout API with session-linked metadata, securing pay-per-session transactions ($10/audit session) prior to triggering the processing pipeline.
Product in Details
We've made the SaaS platform from scratch and became a long-term technical partner for the customer.
Business Architecture
- Zero-Template Layout Parsing: Integrated Google Document AI OCR processors in the asia-southeast1 region to extract precise character coordinates and layout strings, avoiding rasterization errors.
- Structured Schema Constraints: Implemented strict Pydantic JSON schemas with Gemini 2.5 Flash to ensure hallucinative-free structured extraction of values (e.g. invoice dates, tax identifiers, subtotals).
- Forensic Batch Auditing: Engineered a cross-document audit engine that automatically checks GSTIN/Tax ID verification, identifies double-invoicing duplicates, and flags temporal chronology errors.
Application development
We structured the development cycle following modern architectural paradigms to achieve high agility and rapid deployment.
- Provided the client with a dedicated expert team: PM, UI/UX designer, tech leads, full-stack developers, and DevOps engineers.
- The platform was successfully developed within 6 months with Next.js, React, and appropriate database solutions.
- We integrated key APIs including authentication providers, payment checkouts, and custom analytics telemetry dashboards.
Results Obtained
On the project, we passed through all the steps to achieve all the goals set:
%+ reduction in audit cycle times for financial documents
% extraction accuracy using layout-aware Document AI and Gemini
Zero-template schema configuration dynamically adapting to any layout
- Automated batch cross-checking for tax ID mismatches and double billing
Technology stack
Tools and solutions are selected and used, considering the requirements of the customer and the AI / Document Intelligence industry.
Web Stack
FastAPI
Next.js
TypeScript
TailwindCSSDatabase & Storage
MongoDB
AWSDeployment & Cloud
Docker
CloudflareSecurity & Authentication
FirebaseClient Review
“DocAI has completely transformed our auditing pipeline. What used to take days of manual tracking is now processed in seconds with zero template setups. The cross-document duplicate checks saved us from several billing anomalies.”
Marcus Vance
Lead Auditor, Apex Capital
Interested in working with us?
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