AUTHENTIKATOR

Service that uses computer vision, machine learning and data analysis techniques to identify patterns and trends in forged documents, analyze and compare visual characteristics of a document (such as text, images, layout and formatting) against a database of known authentic documents. It has the ability to detect forged or altered features in a document and issue a warning or response if it is determined that the document is not authentic. Allows you to attach identity documents, diplomas, invoices, certificates, tax returns or any other document and validate its authenticity. Converts unstructured documents into structured documents. Convert images with text into computer-readable text data.

Terminology

Smart Document. Electronic document that uses advanced technology to improve productivity and efficiency in the process of creating, editing and managing documents.

Auto-Formatting. A function that automatically adjusts the presentation of a document according to established rules.

Auto-Suggestion. Tool that automatically suggests content or formatting for a document based on context and previous information.

Document Assembly. Automatic document generation process using previously provided information.

Natural Language Processing (NLP). Technology that allows systems to process and understand human language.

Artificial Intelligence (AI). Technology that mimics human intelligence to perform complex tasks.

Machine Learning (ML). Technology that allows systems to learn and improve without being specifically programmed.

Optical Character Recognition (OCR). Technology that converts scanned text or images into editable digital text.

Predictive Analytics. Analysis that uses previous data to predict future results.

Customizable Templates. Templates that can be customized to suit the specific needs of a user or company.

Document Comparison. Function that allows you to compare two or more documents and see the differences between them.

Document Security. Security measures that protect documents and the information they contain.

Electronic Signatures. Electronic signatures that allow users to sign documents electronically.

Automated Review. Automated review that uses algorithms to detect errors and suggestions.

Document Analytics. Document analysis that allows users to obtain valuable information about the content and use of documents.

Automated Reporting. Automatic report generation from data embedded in a document.

Document Archiving. The process of archiving old or inactive documents to free up space and improve organization.

Cloud Storage. Cloud storage that allows access to documents from any location and device.

Mobile Access. Access to documents from mobile devices, such as smartphones and tablets.

Multi-Language Support. Multi-language support, allowing users to work with documents in their own language.

Integrations. Integrations with other applications and systems to improve efficiency and productivity.

Data Fabric. Data repository transversal to anteia's services. It has the option of pseudonymizing our clients' data using a cryptographic unlinking of data and users, so that only with the client's permission can these data be used within the anteia services.

Natural Language Processing (NLP). A branch of artificial intelligence that focuses on the ability of machines to understand, interpret and respond to human language in a natural way.

A.I.(Artificial Intelligence). Subdiscipline of computer science that focuses on the creation of systems and technologies that can simulate human intelligence.

API. Application Programming Interface is a set of rules and protocols that allow different applications to interact and share data with each other.

Machine Learning. Machine Learning is a sub-discipline of artificial intelligence that focuses on the development of algorithms and techniques that allow machines to learn and improve from previous experience and data.

Databases. Storage and organization of information is a system that allows storing, retrieving and managing large amounts of data and information efficiently and securely.

Integration. Connectivity with other systems and platforms is the process by which an application or technology connects with other applications or systems to share and receive information and data.

UX (User Experience) A user's perception and evaluation of a product or service, including its usability, accessibility, efficiency and satisfaction.

Personalization. Adaptation of the user experience to individual preferences is the process by which an application or service is adjusted to the individual needs and preferences of each user.

Protection of personal information. The right of individuals to control and protect their personal information and personal data, including its use and disclosure.

UI (User Interface) The way in which a user interacts with an application or service. The UI must be intuitive and easy to use to ensure a satisfactory user experience.

Visual computing. The use of algorithms and artificial intelligence technologies for the analysis of images and videos.

Verification of authenticity. The process of determining whether a document is original and has not been altered or forged.

Document. A written or printed record containing relevant information.

Scalability. The ability of the system to grow and handle increased demand.

Multilingual. Availability in different languages.

Algorithm. Sequence of logical steps used by a computer program to solve a problem.

Digital image. Electronic representation of an image or video, composed of pixels.

IDP (Intelligent Document Processing) is the automation of document processing using artificial intelligence techniques, such as machine learning and natural language processing, with the aim of improving efficiency and reducing errors in document management.

Benefits

Increases security by providing accurate and reliable verification of the documents used in a linkage.
Reduces the risk of fraud and other problems associated with document forgery.
Improves efficiency by automating the document verification process, saving time and resources.
Provides a faster and more efficient solution for verifying the authenticity of documents, improving the customer experience.
Can integrate with existing systems to leverage existing infrastructure and improve efficiency.
Available through an easy-to-use API for simple integration into existing applications.
Designed to scale and handle a large number of simultaneous requests.
Employs security measures to protect the privacy and security of enterprise data.
Designed with an intuitive and easy-to-use interface for a smooth user experience.
Allows companies to customize the solution to fit their specific needs.
Provides data analytics and statistics to help companies make informed decisions.
Improves efficiency by automating the document verification process.
Can help improve accuracy and speed of document processing, which can significantly reduce operational costs.

Discover the future of document verification

Process

Capture of images or scans. An image or scan of the document to be validated is uploaded through an online interface.

Image processing. Once the document is uploaded, the system uses advanced image processing techniques to analyze specific characteristics of the document, such as typeface, position of each element, watermarks, typography, element distances, watermarks and holograms.

Authenticity verification. The system compares the analyzed characteristics with a database of previously verified and approved authentic documents. This database is updated periodically to reflect any changes in the official documents and their characteristics.

Issuance of reports. If the document meets the authenticity criteria, the system issues a positive report indicating that the document is authentic. Otherwise, a negative alert is issued indicating that the document is not authentic. Details on why the document is not authentic and any other relevant information are included.

Access to reports. The user can access reports through the online interface.

Use cases

Finance. Authentication of financial documents such as contracts and checks.
Banking. Customer identity verification and authentication of bank documents such as account statements and credit cards.
Government. Verification of authenticity of government documents such as driver's licenses and passports.
Insurance. Authentication of insurance documents, such as policies and reimbursements.
Real estate. Verification of landlord identity and authentication of real estate documents, such as deeds and leases.
Education. Authentication of academic documents such as diplomas and certificates.
Retail. Employee identity verification and authentication of sales documents, such as receipts and pay stubs.
Healthcare. Authentication of medical documents, such as medical records and prescriptions.

Frequently Asked Questions

In which countries do you have coverage?
Ecuador, Colombia, Costa Rica, Panama and Peru.

What types of documents can be verified?
Autentikator is capable of verifying a wide range of documents, including passports, driver's licenses, ID cards, diplomas, labor certifications, among others.

How long does it take to verify a document?
Document verification usually takes only a few seconds. However, the time may vary depending on the complexity and quality of the document.

How is data privacy and security guaranteed?
We implement rigorous security measures, including end-to-end encryption, user authentication and constant monitoring for potential threats.

What happens if the system cannot verify a document?
An alert is generated. In some cases, it may be necessary for the user to provide a clearer or updated copy of the document for verification.

Does the system support different document types and formats?
Yes, our system supports a wide variety of document formats, including PDF, JPG, PNG and other common formats.

Who has access to the verification results?
Verification results are visible only to the roles requested by the client. We do not share verification results with third parties without the client's explicit consent.

How does the system integrate with other systems in the organization?

We offer a wide range of integration options, including APIs, integrations with identity management platforms and custom workflows.

What happens if there is a bug in the system?
We offer technical support to resolve it in a timely manner.

Is there any training or technical support available?
Yes, we can help you use the system effectively.

How do you handle the scalability of the system if more processing capacity is required?
We establish with each customer the capacities that need to be provisioned.

Is the system available in different languages?
Yes, English and Spanish.

Is there a privacy policy to protect user data?
All data and information managed by Autentikator is covered by our cybersecurity model and policies.

Analytics

Verification success rate. Percentage of documents that were successfully verified.

Average verification time. Average time taken by the system to verify a document.

Forgery detection rate. Percentage of forged documents detected.

Use of the platform. Number of documents that were verified through the system, number of users accessing the system.

System errors. Number of errors that occurred during the verification process and their cause.

Performance analysis. System response time, processing capacity, etc.

Trend analysis. Trends in document verification, such as frequency of verifications, most verified document types, etc.

Request DEMO