ScribeAI: AI Recommendation App
An intelligent document processing platform utilizing OCR and LLMs to automate invoice categorization and analysis.
Project Snapshot
Executive Summary
ScribeAI leverages artificial intelligence to extract data from raw PDFs, emails, and images. It categorizes invoice line items, reviews compliance guidelines, and pushes parsed structured data straight to ERP systems like SAP and QuickBooks.
The Challenge
Finance teams at SaaS companies and accounting firms were drowning in PDF invoices, receipts, and purchase orders. Each document had a unique layout, and traditional OCR tools struggled with accuracy below 70% on complex tables and handwritten annotations. The manual data entry process was not only slow but prone to costly errors — misfiled line items, incorrect tax codes, and missed compliance flags. With audit season becoming a nightmare and scaling the finance team linearly with document volume, they needed an AI-first solution that could understand context, not just read text.
The Problem
SaaS companies and accounting firms spent hundreds of hours manually reviewing invoice PDFs and inputting records, leading to a high rate of human data-entry errors.
Our Solution
We engineered a Next.js web application equipped with an OCR pipeline. The pipeline uses customized layout parsing models and OpenAI GPT models to extract schema-validated JSON data from documents automatically, saving time and eliminating entry errors.
Our Approach
We built a modular document processing pipeline that combines AWS Textract for initial text extraction with a custom layout analysis model trained on thousands of annotated invoice layouts. The extracted data passes through an LLM-based validation layer that cross-references line items against catalog prices, checks tax compliance rules, and flags anomalies. A human-in-the-loop review dashboard handles edge cases with confidence scores below 90%, enabling continuous model improvement through feedback. The system integrates with ERP platforms via REST APIs, pushing structured data directly into accounts payable workflows.
Core Capabilities
Key Features Built
Intelligent Document Classification
Automatically detects document type — invoice, receipt, purchase order, or contract — and routes it to the appropriate extraction pipeline. Supports over 50 document layouts out of the box with custom layout training for enterprise clients.
Multi-Modal OCR Engine
Combines AWS Textract with a custom vision transformer model for superior accuracy on handwritten text, low-quality scans, and complex table structures. Achieves 99.4% extraction accuracy across all supported document types.
LLM-Powered Data Validation
Extracted data is cross-validated against business rules, historical patterns, and external tax databases. Discrepancies are flagged with confidence scores, and the system learns from manual corrections to improve future accuracy.
ERP Sync & automation
Direct two-way integrations with QuickBooks, Xero, SAP, and Salesforce. Processed documents are automatically posted as journal entries, bills, or expenses with full audit trail and attachment links.
Collaborative Review Workflow
Role-based review queues allow finance teams to approve, reject, or edit extracted data before it enters the ERP. Comments, tags, and status tracking enable seamless team collaboration on bulk document processing.
Core Capabilities Built
- Drag-and-drop document upload (PDF, JPG, PNG)
- Intelligent OCR extracting tables and unstructured data
- LLM-based categorization and compliance check
- Direct API integrations with QuickBooks, Xero, and Salesforce
- Collaborative document review dashboard
Technology Blueprint
Project Timeline
10 weeks for core OCR pipeline and web dashboard MVP. An additional 4 weeks for ERP integrations and enterprise SSO features.
Project Outcomes
92%
Reduction in processing time
99.4%
Extraction accuracy rate
500k+
Documents processed monthly
ScribeAI automated key financial processes, resulting in an estimated savings of $45,000 per month for medium enterprises.
“Their expertise in AI pipelines and OCR is world-class. We went from a complex manual prototype to a highly scalable AI automation engine in just 6 weeks.”
Elena Rostova
VP of Product, ScribeAI Ltd.
Frequently Asked Questions
Everything you need to know about the ScribeAI platform
What document formats does ScribeAI support?
ScribeAI processes PDF, PNG, JPG, TIFF, and email attachments. We support single-page and multi-page documents, scanned images, and born-digital PDFs. Maximum file size is 50MB per document with batch processing of up to 1000 documents per job.
How accurate is the OCR compared to manual entry?
ScribeAI achieves 99.4% extraction accuracy on standard invoices and receipts, compared to the industry average of 85-92% for traditional OCR solutions. For handwritten content or severely degraded scans, accuracy remains above 95% with the human-in-the-loop review catching remaining edge cases.
Is ScribeAI compliant with financial regulations?
Yes, ScribeAI is SOC 2 Type II certified and GDPR compliant. All document data is encrypted at rest using AES-256 and in transit using TLS 1.3. We maintain comprehensive audit logs of all processing activities and support data residency requirements for EU, US, and APAC regions.
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