AI OCR
Tired of manually entering data from paper documents? Looking for a faster way to process large volumes of information? AMODIT AI OCR is the solution you need. Using advanced Optical Character Recognition technology (OCR), you can effortlessly convert scanned document or images into editable text, saving time and reducing the risk of errors.
What is OCR?
OCR (Optical Character Recognition) is a powerful technology that automatically identifies and extracts text from images, scans, photos, or PDF files. It analyses pixels within an image and converts them into editable, searchable, and indexable alphanumeric characters. With OCR, paper documents can be quickly converted into digital data ready for analysis and storage.
Common documents processed with OCR include invoices, contracts, bills, forms, business cards, ID cards, and receipts. OCR can extract key business information, such as tax identification numbers (NIP), sales dates, personal identification numbers (PESEL), names, VIN numbers, order numbers, and many other crucial details simplifying data entry and minimizing the potential for errors.
Who Should Implement AMODIT AI OCR?
AMODIT AI OCR is ideal for any organization that needs to process, manage, analyze, or share text documents. This technology is particularly valuable for companies and organizations from such sectors as finance, law, medicine, education, administration, commerce, tourism, media, culture, and science.
By integrating this tool, businesses can significantly increase operational efficiency, leading to enhanced service quality, competitiveness and innovation. Implementing AMODIT AI OCR can help streamline daily operations, reduce time spent on manual tasks, and optimize costs. It is vital for success in today’s rapidly evolving business environment.
Why Implement OCR?
What Can Your Company Gain by Implementing OCR?
Increased Productivity and Time Savings
OCR technology automates the processing of large volumes of documents, eliminating the need for manual data entry. This boosts work efficiency and significantly reduces the likelihood of errors.
Improved Data Quality and Accuracy
OCR ensures precise text recognition, even from low-quality images or documents in various languages, fonts, and writing styles. It also offers options for verifying and correcting data before saving or sharing, ensuring data integrity.
Easier Access and Information Retrieval
OCR enables easy searching, sorting, filtering, grouping, and comparing of data in image files that are typically unreadable by computers. It also allows seamless data sharing and integration with other systems and applications.
Enhanced Data Security and Privacy
By digitizing documents, OCR reduces the risks associated with physical storage—such as loss, damage, theft, or unauthorized access. Digital documents can be secured with passwords, encryption, digital signatures, and other protection methods.
Cost and Resource Optimization
OCR helps save on costs related to printing, copying, scanning, shipping, and storing paper documents. It reduces the need for paper, ink, energy, and storage space, leading to more efficient resource management.
Support for Sustainability and Environmental Protection
By reducing the use of paper, ink, and energy, OCR contributes to a smaller environmental footprint. It helps lower greenhouse gas emissions, conserve water, and reduce waste, aligning with sustainable business practices.
OCR, AI and parsers: three ways to read data
We select the mechanism according to the source and structure of the data. OCR reads text from a scan, image, or PDF. AI extracts specified data from invoices, contracts, and other documents with different layouts — without building a separate template for each layout. A parser handles data supplied in a known, agreed format.
The customer defines the document types, fields, and next workflow steps. We select and configure existing models; we do not train them.
AMODIT AI OCR can extract both header information and individual line items from printed invoices, bills, and receipts. The field set is defined for each workflow. Depending on the document, it may include a tax identifier, sales date, a person’s details, VIN, purchase order number, and data recorded in document lines.
The proposed values are mapped to designated AMODIT form fields. Users can view them alongside the source document and review them before approval.
The confidence threshold is configurable. Results below the threshold are routed for review and correction, while results above it can move automatically to the next technical step.
AI recommends data, while people approve decisions with business consequences. Workflow rules and an authorized user determine what happens next.
AI OCR supports invoices, contracts, and other document types with varied layouts, supplied as scans, images, or PDF files. It works with Polish- and English-language documents, including foreign-currency documents.
Language, format, and field coverage depends on the selected engine and workflow configuration. Before rollout, we assess customer samples and set the confidence threshold.
An unfamiliar layout, tables, a low-quality scan, or an unusual document type may require a separate assessment. We test representative samples, evaluate the extraction, and identify which fields can be passed reliably into the workflow.
Accuracy varies across document sets. Where image quality or layout makes recognition difficult, OCR still presents proposed values for an operator to review and correct. Any further configuration is based on the pilot results.
Selection starts with document types, required fields, expected volume, and the downstream workflow. We then choose an existing OCR engine and configure its connection to AMODIT. Depending on the requirements, the setup may use an external service, a cloud deployment, or an installation in the customer’s environment.
For new or unusual document sets, we can begin with a pilot in a test environment. The pilot covers communication, field mapping, responses and statuses, as well as data-protection requirements. Production scope is agreed after the sample results have been assessed.
Why choose AMODIT AI OCR?
Cutting-edge Technology
Developed by AMODIT, our OCR solution leverages the latest AI advancements, powered by Microsoft technologies.
Supports Various Document Types
AMODIT AI OCR reads data from a wide range of document types using existing AI models selected and configured by our team for the customer's documents.
Seamless Integration
OCR can be connected to an AMODIT workflow or accessed through an API. The integration maps extracted values to case fields and can return processing responses and statuses. Data-protection controls, including safeguards for sensitive data, are selected for the deployment architecture and requirements.
Ongoing Support
Our team provides full support, regularly updating the solution to adapt to new document types as needed.
Cloud-based Solution
The solution operates entirely in the cloud, eliminating the need for infrastructure investments and reducing maintenance responsibilities on the client’s side.
Workflow-specific scope
Document types, fields, and next steps are agreed for the customer’s workflow. Selected extensions require the appropriate licence and configuration.
Reliability, Speed, and Simplicity
AMODIT AI OCR is designed to be a reliable, fast, and user-friendly tool, ideal for businesses seeking efficient document data extraction.
What is the accuracy of AMODIT AI OCR?
Recognition accuracy depends on the document type and layout, scan quality, selected engine, and configured fields. We therefore test representative samples before rollout and refine the configuration of the existing model based on the results.
OCR proposes values for a user to compare with the source document, correct, and approve. We do not apply one accuracy percentage to every document set, and human review remains part of the workflow.
Supported languages
Confirmed AMODIT AI OCR deployments cover Polish- and English-language documents. Availability for other languages depends on the selected existing model. The Microsoft solution’s current language coverage is listed in the provider documentation.
If another language is required, we check the available model and test it on sample documents before defining the deployment scope.
Top-Level Security
Data-protection measures are selected for the deployment model, architecture, and document sensitivity. The setup can include access controls, mapping only the fields needed by the workflow, and safeguards for sensitive data. In a cloud deployment, data location and security controls also depend on the selected service and its configuration.
with one of our specialists. We will guide you through the step-by-step process of implementing OCR in your company using AMODIT.
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