All formats and fonts
Accelerated Processes
Pre-payment Detection
Reliable extraction
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The payslip is a semi-structured document issued in a wide variety of formats depending on the employer, industry, payroll software, and collective bargaining agreements. The wording, structure, placement of information, and calculation rules vary significantly from one document to another.
This lack of standardization makes manual data entry and verification time-consuming, costly, and prone to errors—even though these documents are critical to sensitive processes such as determining eligibility for benefits, granting credit, or compiling rental applications.
AITECA automates the reliable extraction of key data from payslips, regulatory compliance checks, and the detection of document fraud, using PDF documents or images.
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Data is systematically checked to ensure the reliability of decisions. Inconsistencies in amounts, time periods, or identities are detected early on to prevent rejections or retroactive adjustments.
Eligibility for social benefits, services, assistance, and public programs
Automated verification of income, job stability, and length of employment helps ensure the accuracy of the financial analysis of loan applications. Cross-checks minimize the risk of errors or fraud.
Consumer credit, mortgage loans, creditworthiness analysis
Automating the processing of payslips drastically reduces the time it takes to review tenant applications, while ensuring the authenticity and consistency of the income documentation provided.
Real estate leasing, rental management, tenant application platforms
Automated processing replaces several minutes of manual data entry and verification with just a few seconds of analysis. Teams can refocus their efforts on complex or value-added tasks.
Back offices, management centers, compliance and risk teams
Payslips are frequently targeted by attempts at forgery. The AITECA IDP incorporates advanced anti-fraud controls to detect alterations, inconsistencies, and misuse before any decisions are made.
Fraud, Internal Control, Audit, and Risk Management Units
3 Key Steps with Multi-AI Orchestration and Business Controls
Multi-format
OCR, Full Text and NLP
Compliance and Anti-Fraud Audits
Ready-to-use data
Data extracted and structured in JSON
Immediate treatment
Ready to integrate into your IT system
Retrieval of Paystubs
Image Optimization
Paystubs Classification
Extraction and Normalization
Compliance Checks
Document Fraud
Actionable results
Paystubs are submitted via online upload, scan, smartphone photo, or an existing document feed. The solution supports native or scanned PDF files as well as image formats.
Result: All paystubs are centralized and ready for processing, regardless of the channel or format.
Multi-format ingestion (PDF, image, photo)
Automatic centralization upon receipt
Document traceability as early as possible
Documents undergo automatic preprocessing to improve readability and data quality, even for low-quality scans or photos.
Result: documents optimized for more reliable recognition and extraction.
Automatic rotation
Contrast and sharpness enhancement
Visual noise reduction
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The solution automatically identifies the document as a payslip, despite variations in layout and labeling.
Result: Automatic routing to the appropriate extraction and validation rules.
Analysis of semi-structured layouts
Document type recognition
High tolerance for heterogeneity
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The orchestration of complementary AI technologies—such as OCR, Full Text, and NLP—enables the extraction of data (NIR, APE, dates, gross and net amounts, mandatory disclosures, etc.) even when it is not located in fixed positions or has variable labels.
Result: intelligent orchestration of AI technologies tailored to specific formats for optimal extraction performance.
Multi-zone extraction (header, footer, table)
Intelligent activation of AI technologies based on each specific case
Optimized strategy balancing performance and resource efficiency
Reformatted data (amounts, dates, addresses, etc.) according to your IT standards
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The extracted data is automatically verified against business and regulatory rules: consistency of amounts, document validity, identifier checks, and verifications against external databases.
Result: Non-compliant or inconsistent statements are detected before any decisions are made.
Consistency of amounts
Document validity
Company verification
Period verification
Payslips are analyzed to identify any attempts at forgery or document inconsistencies by combining image analysis, metadata analysis, semantic checks, and cross-referencing of data.
Result: Suspicious documents are detected early in business processes.
Altermetry®: Image Tampering Detection
Employee Verification
PDF Revision Detection and Generative AI Creation
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Once the data has been extracted and validated, the information from the payslips is made available to the IT systems. Each document is accompanied by reliability indicators that enable immediate use or referral for targeted human review.
Result: Payslips are transformed into reliable, verified, and directly actionable data, without any disruption to the workflow or the need for re-entry.
Extracted and structured data (JSON / API)
Accuracy > 99%
Integrated fraud detection
Ready for integration into your IT systems
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