How GLIB.ai Redefines Accounts Payable Processing with Advanced AI and OCR

In the era of digital transformation, the efficiency and accuracy of accounts payable (AP) operations can determine an organization's financial health and competitive edge. Traditional manual AP workflows are plagued by slow processing, errors, and compliance headaches. GLIB.ai’s next-generation AI-powered document processing suite—blending state-of-the-art Optical Character Recognition (OCR), intelligent data extraction, and deep automation—ushers in a new standard for AP automation that’s designed for scale, compliance, and reliability.

1. From Document Chaos to Structured Financial Intelligence

GLIB.ai’s platform is architected to automate complex accounts payable processes end-to-end. It begins with capturing any inbound AP document: invoices (scanned, PDF, photographed), purchase orders, receipts, credit memos, remittance advices, and more. GLIB.ai’s high-fidelity OCR engines decode both typed and handwritten text with over 99% accuracy by leveraging multi-angle image preprocessing, noise reduction, skew correction, and adaptive contrast enhancement.

Technical Highlights:

• Template-free extraction: GLIB.ai does not rely on rigid templates. Instead, its deep learning models dynamically interpret variable invoice formats, languages, and layouts—making it robust for global operations.

• Multilingual support: Built-in NLP modules recognize and normalize financial data across English, Hindi, and more than 10 major Indian and international languages.

2. Intelligent Data Extraction and Enrichment

Once the document is digitized:

• Field Recognition: GLIB.ai’s AI parses and maps vendor names, addresses, tax IDs, invoice numbers, PO references, line items, amounts, taxes, and due dates—even when presented in unconventional layouts.

• Line-Item Intelligence: Each row’s description, SKU, quantity, UOM, and net/gross amounts are extracted, validated, and categorized for both compliance and analytics.

AI Models in Action:

• Multi-Level Entity Recognition: Context-aware models distinguish overlapping values (e.g., distinguishing invoice total vs. line-item amount).

• Auto Validation: Extracted fields are cross-verified against master data (PO, contract) and business rules to catch duplicates, missed fields, or compliance anomalies before posting to ERP (SAP, Oracle, Tally, etc.).

3. Real-Time Exception Handling and Approval Automation

Human-in-the-loop intelligence is built-in:

• Confidence Scoring: Each extracted data point is ranked by accuracy, and questionable fields are auto-flagged for review within a user-friendly UI—minimizing manual intervention and slashing error rates.

• Automated Workflows: GLIB.ai routes invoices to the correct approvers based on dynamic logic (amount, GL code, department, vendor). Digital signatures and approvals are tracked with full audit trails for compliance.

4. Seamless Integration, Compliance, and Analytics

GLIB.ai provides API-first integrations with:

• Core banking, LOS, ERP, and DMS—ensuring invoices flow instantly from ingestion through approval to payment booking.

• Compliance engines that validate GST, PAN, and TDS data, flagging mismatches or nonconformity in real time.

End-to-End Traceability:

• Every operation is logged—from data extraction to approval—supporting statutory audits (SOX, GST, GDPR) and fraud analytics.

• Centralized dashboards and drill-down reports give AP managers instant insights on aged payables, vendor metrics, and cash flow.

5. Advanced Security, Continuous Learning, and Scalability

• Privacy-First: Documents are encrypted in transit and at rest, and the AI engine offers on-premise or VPC deployment for high-security environments.

• Continuous Learning: As more invoices are processed, GLIB.ai’s models learn and adapt to edge cases, further improving extraction accuracy and flagging new fraud patterns or exceptional cases.

• Massive Scalability: With support for parallel processing of thousands of documents per hour, and elastic cloud-native architecture, GLIB.ai is built for high-growth enterprises and F&A shared services.

Technical Architecture Snapshot

Real-World Case Impact

• 80% Cut in Invoice Cycle Times: Automated extraction, validation, and approval transform invoice throughput—taking seconds instead of days.

• 99%+ Data Accuracy: Meets high-stakes demands in banking, insurance, retail, and manufacturing environments, backed by human-in-the-loop for edge cases.

• 24/7 Auditable Compliance: All changes, validations, and approvals are tracked for audit and fraud prevention.

GLIB.ai vs. Traditional OCR Vendors

Different Types of Accounts Payable Documents That Can be Extracted Using OCR

OCR technology can extract valuable data from various accounts payable (AP) documents, enabling automation and streamlining of AP processes. Some of the common documentation that benefit from OCR are:

1. Invoices

‍OCR can capture key invoice data such as vendor information (name, address), invoice number, invoice date, line item details (description, quantity, unit price, total amount), tax information (if applicable), and more.

Automated data extraction from invoices helps in reducing manual data entry errors and processing time. It ensures that invoices are processed promptly and accurately, facilitating timely payments and improving vendor relationships.‍

2. Purchase orders (POs)

‍OCR software can extract critical information from purchase orders, including purchase order numbers, vendor information, item descriptions, quantities, and prices.

By automating the extraction of PO data, OCR enables seamless matching of invoices to POs, ensuring that goods and services are accurately billed and reducing discrepancies in payments. 

3. Receipts

‍OCR technology can extract transaction details from receipts, such as transaction date, merchant information, amount spent, payment method, and more.

Automated receipt processing simplifies expense reporting and reconciliation processes, ensuring accurate accounting of business expenditures and compliance with expense policies.

4. Contracts and Agreements

‍OCR can extract key terms and conditions from contracts and agreements, including details about parties involved, contract start and end dates,  payment terms, contract values and obligations.

Automated extraction of contract data helps in managing contract lifecycles, tracking payment milestones, and ensuring compliance with contractual obligations.

5. Statements and Reports

‍OCR software can extract data from financial statements and reports, such as account balances, transaction details, summary information, etcetera.

Automated extraction of financial data from statements and reports facilitates faster financial analysis and reporting, enabling businesses to make informed decisions based on up-to-date financial information.

6. Tax Documents

OCR technology can extract data from tax documents such as Tax identification numbers (TIN), taxable income details, deductions and exemptions, and more. Automated extraction of tax data ensures accurate and timely tax filings, minimizing the risk of errors and penalties.

7. Shipping and Logistics Documents

‍OCR can extract data from shipping and logistics documents, such as shipment details, carrier information, tracking numbers, and more. 

Automated extraction of shipping data facilitates accurate billing and tracking of shipments, ensuring timely payments to carriers and efficient logistics management.

8. Credit Memos

‍OCR can extract data from credit memos issued by vendors or suppliers, including reason for credit, credit amount, invoice number and details. Automated credit memo data extraction helps manage returns and adjustments efficiently, ensuring accurate accounting and financial reporting.

9. Payment Remittances

‍OCR technology can extract data from payment remittances, including invoice numbers, payment amounts, payment reference details, and more. 

Automated extraction of payment remittance data facilitates reconciliation of payments, ensuring accurate allocation of funds and improved cash flow management.

10. Compliance and Regulatory Documents

OCR can extract data from compliance and regulatory documents, including compliance certifications, regulatory filings, and audit reports.

Automated extraction of compliance data helps ensure adherence to regulatory requirements and facilitates timely reporting to regulatory bodies.

By leveraging OCR technology to extract data from these various types of AP documents, businesses can automate and streamline their accounts payable processes, reduce manual errors, improve data accuracy, enhance operational efficiency, and achieve significant cost savings.

How exactly does the process of extracting data from various Accounts Payable documents using OCR work? Let's examine the key steps and techniques involved in this crucial process.

Conclusion: Reinventing AP for the Enterprise

GLIB.ai isn’t just another OCR tool—it’s an enterprise-grade, AI-powered backbone for digital accounts payable automation, compliance, and business insight. By combining powerful OCR, intelligent automation, seamless system integration, and robust security, GLIB.ai delivers a future-proof AP process that’s as fast, accurate, and compliant as the world’s best finance teams demand.

Ready to transform your AP? The intelligent automation future is already here—with GLIB.ai.