Overview#
The OCR (Optical Character Recognition) API category provides powerful document analysis capabilities that transform images of text into machine-readable data. These APIs extract structured information from various identity documents, financial instruments, and official certificates, enabling automated data capture, verification, and processing without manual intervention. By converting visual document information into structured data, these APIs help businesses streamline KYC processes, automate form processing, and enhance document management workflows.Parent Category: Root
Child Categories: Aadhaar, PAN, Document Detect, VoterID, Cheque, Cheque V2, GST, CIN, ITR, License, Passport, International Passport, UAE Vehicle License, Vehicle Insurance, Vehicle RC, Vehicle Number Plate, Death Certificate OCR, Signature Detection
APIs in this category:
Key Capabilities#
Document Information Extraction
The OCR APIs automatically extract key information fields from various document types, converting unstructured visual data into structured, machine-readable formats that can be easily integrated with existing systems and databases.
Identity Document Processing
Extract personal information from government-issued identity documents including Aadhaar cards, PAN cards, passports, voter IDs, and driver's licenses with field-specific extraction for names, numbers, dates, addresses, and more.
Vehicle Documentation Analysis
Process vehicle-related documents such as registration certificates, insurance papers, and license plates to extract registration numbers, insurance details, vehicle specifications, and ownership information.
Financial Document Processing
Extract data from financial instruments like cheques, GST documents, and ITR forms, capturing account details, transaction information, tax identifiers, and financial figures with high accuracy.
Common Use Cases#
Government & Public Sector
Transportation & Logistics
KYC verification during customer onboarding
Automated cheque processing and validation
Tax document processing and verification
Loan application document processing
Integration Considerations#
Best Practices
Ensure input images are clear, well-lit, and properly oriented for optimal OCR accuracy
Implement validation checks on extracted data to verify format and consistency
Consider implementing retry logic for failed OCR attempts with different image preprocessing
Store both the original document image and extracted data for audit and verification purposes
OCR accuracy depends on image quality, lighting conditions, and document orientation
Handwritten text may have lower recognition accuracy compared to printed text
Some documents with security features or watermarks may affect extraction quality
Regional language variations in documents may impact extraction accuracy
How APIs in this Category Work Together#
The OCR APIs in this category are designed to work together in complementary workflows, creating end-to-end document processing solutions. Each API specializes in specific document types while sharing a common extraction methodology.Key Integration Patterns:Document Detect + Specific Document OCR: First identify the document type, then route to the appropriate specialized OCR API
Aadhaar Front + Aadhaar Back: Combine to extract complete identity and address information from both sides of an Aadhaar card
PAN + Aadhaar + Signature Detection: Create a comprehensive KYC verification workflow that validates multiple identity documents and signature
Identity Verification: OCR extracts document data that can be verified against official databases or cross-checked between multiple documents
Face Recognition: Combines with OCR to match extracted identity information with facial biometrics for stronger authentication
Data Validation: Verifies the accuracy and authenticity of information extracted through OCR against reference databases
