DeepScan - Document Extraction & Verification API
Enable AI-based Data Extraction & Classification from Images/PDFs
Enable AI-based Data Extraction & Classification from Images/PDFs
IDcentral uses precision AI/ML based OCR technology to enhance accuracy by up to 99% in extracting and verifying complex document data like names, signatures, addresses and more directly from images and PDFs. Experience seamless document checks today!
IDcentral’s DeepScan API enables Comprehensive validation of complex documents, detecting tampering or forgery. Ensuring the authenticity and integrity of presented documents.
Automated data extraction of relevant information from complex documents like rental agreements and contracts, reducing manual effort. Validation checks to ensure data accuracy and minimize errors.
Digital Field filling through OCR extraction ensures precise classification and sorting of data as per organisation requirements or online form format.
Advanced encryption and data protection protocols are used to extracted document data. Data Validation allows authentication of audit trails and activity logs for increased transparency and accountability.
IDcentral’s RESTful API solutions enable easy integration into existing systems and workflows. Customizable APIs also help adapt to specific business needs.
Meet KYC and AML requirements, ensuring regulatory compliance as per document verification laws. Your businesses can maintain compliance with stringent industry standards and verify documents as per privacy laws.
Our system efficiently extracts relevant information from various document types, such as invoices and contracts, eliminating manual data entry. It accurately identifies and extracts key data points like names, addresses, dates, and amounts
Automate form and template population by automatically filling fields with extracted data. This feature saves time and effort, ideal for online registrations, customer onboarding, and data entry tasks
Our advanced algorithms handle complex documents with tables, charts, and irregular layouts. Intelligent pattern recognition and data validation ensure accurate data extraction from challenging documents.
Our OCR engine converts scanned or image-based documents into editable text with high precision. Extracted data undergoes verification to minimize errors and improve accuracy.
Robust data validation techniques, cross-referencing external databases, and consistency checks ensure data integrity. Alerts and user input resolve discrepancies, enhancing accuracy.
Seamless integration with existing systems and workflow automation tools allows for streamlined document processing. Integration with ECM, CRM, and custom software simplifies document management.
Banks can automate the extraction of information from identification cards, passports, and utility bills to expedite customer onboarding and reduce manual data entry errors.
Insurance companies can streamline claims processing by automatically populating relevant fields in claim forms, eliminating the need for manual data entry by customers.
Legal professionals can leverage AI algorithms to extract critical information from contracts and legal correspondence, cross-referencing it with external sources to verify accuracy during due diligence processes.
Healthcare providers can convert scanned medical documents into searchable digital format using OCR technology, enabling efficient management and verification of patient records.
Organizations in finance, healthcare, and manufacturing can automate the analysis of regulatory documents, policies, and procedures to monitor compliance, identify risks, and manage adherence to standards.
By automating data extraction from invoices, businesses can eliminate manual entry, accelerate payment cycles, and gain better visibility into financial transactions.
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