Cognify AI Cheque Reader
Advanced Neural Document Analysis and Automated Field Extraction for Indian Banking.
Eliminate manual data entry errors and accelerate clearing cycle cutoffs. Cognify deep learning engine automatically parses MICR, dates, amounts, payee names, and signatures in under 1.5 seconds.
Experience the Neural Parser
Interact with real-time bounding box extractions and inspect structured JSON data payloads generated by our engine.
AI That Understands the ChequeLive Green Laser Active
FINVERGE BANK
CTS-2010 STANDARD INSTRUMENT
Accurately parses 6-digit cheque number, 9-digit MICR code (City, Bank, Branch), and transaction code with neural magnetic ink recognition.
Comprehensive Field Recognition
Deep learning models trained specifically on Indian CTS-2010 banking instruments across diverse printing fonts and handwriting styles.
MICR E-13B Extraction
Accurately parses 6-digit cheque number, 9-digit routing city/bank/branch codes, and 2-digit account transaction identifiers with 99.98% parity precision.
Courtesy Amount (CAR) Recognition
Reads machine-printed and handwritten numerical amount boxes with automatic decimal detection and comma normalization.
Legal Amount (LAR) Parsing
Transcribes amount in words representation and executes automated cross-validation against numeric CAR values to flag discrepancies.
Intelligent Date Grid Normalization
Recognizes DD/MM/YYYY box formats, calculates 3-month stale periods, and prevents submission of post-dated or stale instruments.
Multi-Script & Regional Languages
Extensible AI models capable of recognizing Hindi and regional Indian script payee names alongside standard English text.
Signature Presence Verification
Evaluates drawer signature zone for ink contour presence and alerts operators on blank or invalid authorization fields.
AI Reader Engine Questions & Answers
Inquiries regarding integration, accuracy metrics, and regional language support.