Data extraction for automated document processing
OCR technology is becoming increasingly important for digitizing business processing.
Abto Software is keeping up with the trend and finding new ways to perform text recognition more accurately. Our engineers have proposed an approach to perform data extraction that focuses only on meaningful information. The algorithm can retrieve key-value pairs from both semi-structured and unstructured documents. And all that thanks to using computer vision.
Automating the Processing of Unstructured Documents
More often than not businesses work with documents that display information according to some specific keywords. An insurance claim form, for example, has a main body that varies from company to company. But it also includes personal names, addresses, social security numbers, and more. Such words together with their labels are called key-value pairs.
Quite often, business documents are lacking consistent structure. That means that the key-value pairs within them are positioned very randomly. Processing these unstructured documents in a digital format is tricky because we cannot use hard-coded rules for data extraction. With this challenge in mind, we built a data extraction tool that can help you automate the processing of any unstructured documents.
Our prototype retrieves information in the key-value format and transforms unstructured documents. These provide data prepared for processing, easy analysis, and storage. You choose which keys to extract. And the test detection algorithm extracts the information that contains indicated keys no matter their position within the business document.
How Our Data Extraction Technology Works
Our structured data extraction prototype allows capturing information from images and PDF files. First, the algorithm performs initial preprocessing of the input documents facilitating text recognition that follows next. After finding user-indicated keys within the OCR-ed document it extracts the corresponding values and saves this information in the key-value format. The post-processing stage ensures the highest accuracy of the entire data extraction process.
Features of Abto Data Extraction Technology
- Extracts valuable information from your documents
Retrieve key-value pairs from your semi-structured and unstructured documents. Financial and insurance forms, bank statements, receipts, invoices, bills, and more.
- Fast data entry automation
Process information for integration into your business processes. The algorithm will find relevant information and present it in a format that is most appropriate for you.
- Accurate text recognition
Abto Software has extensive tech experience in the field of OCR technologies. That allows us to quickly tackle all challenges of automatic text recognition.
- Flexible solution for document-intensive processes
Our structured data extraction prototype supports six languages. It allows the users to create custom keys and does not require one-batch documents to be of the same template.
Benefits of Abto Data Extraction Technology
- Extract information in key-value format – Automatically
Retrieve meaningful information based on your set of keywords without being limited by document layouts or form templates. - Eliminate manual entry
Automatically extract key-value pairs from any unstructured document in a format ready for further integration into your document management system. - Optimize document processing
Automate data extraction from unstructured documents to speed up business processes, reduce errors, and cut costs.
Data Extraction Solution for Variety of Industries
The automated data extraction technology can be implemented across a variety of industries for different use cases. Since it works without preliminary template setup and places little restrictions on the document structure Abto data extraction technology can be used for:
- Financial documents:
Analyze tax forms, balance sheets, bank statements, and more. Extract taxpayer information, names of organizations, and financial figures.
- Invoices & receipts:
Analyze restaurant bills, grocery receipts, utility bills, purchase orders, and more. Extract issue and due dates, account and invoice numbers, and quantities.
- Insurance documents:
Analyze insurance policies, contracts, claims, and agreements. Extract personal data of the insured person, information from an insurance claim, and related documents.
- Medical documents:
Analyze medical records, operative reports, and doctor prescriptions. Extract patient personal data, doctor’s name, lab results, and prescribed drug names.
- Judicial documents:
Analyze court records, case files, victim and police reports. Extract identification details, addresses, dates, and incident types.
- Shipping documents:
Analyze packing lists, certificates, and shipping labels. Extract origin and destination addresses, package weight, shipping class, and contents description.
You’ll see the text you extract automatically presented in a structured format. It is ready for subsequent integration into the document management system of your choice. You can easily import structured data into your ERP, EHR, CRM, or accounting system for analysis and processing. Try it and see your routines become simplified.
Abto data extraction tool helps your business to automate document processing by digitizing legacy documents, eliminating error-prone manual data entry, and cutting costs.
What’s Next
The developed automated data extraction tool is the first component of our comprehensive document management solution that we plan to extend with the next functionality:
- document classification & indexing;
- database verification of the extracted information;
- duplicated documents detection;
- sensitive data detection;
- role-based data redaction & visibility.
Interested? Fill in the contact form below to talk with our experts about your use case.
FAQ
Data extraction refers to the process of automatically retrieving information from different data sources. These include business documents, databases, websites, and other data formats.
The technology is enabled by applying machine learning, computer vision, and natural language processing. The algorithms can extract text and numeric information, tables, images, and other data forms.
To integrate data extraction, our team will start by identifying the requirements and selecting our technology. After this, our engineers will continue with defining schema design, integration planning, data transformation, and cleaning.
The stages to come: testing, validation, product deployment, employee training, and further technical support. Summing up, we can cover every project stage, so you can focus on your business goals.
Data extraction is applied across domains to minimize manual workloads:
- Healthcare: EHR & EMR processing, medical imaging, clinical trials, patient feedback
- Retail: Inventory management, personalized marketing, sentiment analysis, trend analysis
- Finance: Loan processing, risk assessment, fraud detection, customer onboarding
- Construction: Project management, safety compliance, resource allocation, BIM analysis
By using data extraction, you eliminate:
- Cost-intense labor
- Time-consuming workflows
- Manual errors
- Data duplication
- Inconsistent formats
- Limited accessibility
- And inefficient integration across systems
