AI in electronic document management: data from PDF to accounting system in minutes

An accountant works with electronic documents every day. Invoices, acts, delivery notes, and other documents have long been sent and signed electronically — it is convenient, fast, and legally secure. But the work with a document does not end there. After signing, the data still needs to be transferred into an accounting system: accounting software, an ERP, or a CRM. And at this stage, an electronic document becomes a source of manual work again — copying, double-checking, and the risk of errors.

In 2025, more than 37 million documents went through the Vchasno ecosystem. According to internal estimates, up to 95% of the data from them is entered manually by accountants, field by field. On average, one document takes 10–15 minutes. That is hours of daily work where it is easy to make a mistake and difficult to scale.

In this article, we will break down how data extraction from documents works in Vchasno.EDO, specifically:

• how to transfer data from a PDF into an accounting system,
• what data can be extracted from a document automatically,
• and how to pass confirmed information to the accounting system more effectively — as a file or directly via API.

🆕 Updates to Vchasno.EDO Capabilities

After an electronic document is signed, its data is usually transferred into accounting systems manually. This is one of the least automated stages of document workflow. That is why Vchasno.EDO introduced the ability to automatically extract structured data from primary documents.

Why Manual Copying Is Expensive

Manual data entry from documents is often perceived as an unavoidable part of the job. It seems simple: look at the invoice, retype the amount, date, details — and move on. But this process has several specific points where a team loses time and control.

1. First, it is pure specialist time. Even if one document takes 10 minutes, with 50 documents a day it is more than 8 hours of work. One full working day spent only on copying data.
2. Second, it is errors. Most often, they occur in amounts, dates, counterparty codes, IBANs, or the document number. Some are caught immediately, some only during reconciliations, reporting, or audits.
3. Third, it is the lack of scaling. When the volume of documents grows, the process does not speed up — it simply loads the team even more.

This leads to a logical question: if the document already exists in electronic form, why does its data still need to be transferred manually?

What Data Extraction in Vchasno.EDO Means in Simple Terms

Data extraction is the ability to turn an electronic document from a PDF file into a set of structured data: amounts, dates, numbers, and details, ready for review and transfer into an accounting system. What matters most is that this data does not go into the accounting system automatically. The system shows it within the document so the accountant can immediately verify it, and only then confirm and transfer it.

This way, extraction removes manual retyping but does not remove responsibility. The system prepares the data, and the final decision about its correctness always stays with the person.

Which Documents Are Supported and Which Fields the System Extracts

Data extraction in Vchasno.EDO supports the core primary documents: invoices, acts of services rendered, and delivery notes. The system identifies all key details needed for accounting and financial records.

The technology is based on artificial intelligence algorithms that analyze the structure and content of the document regardless of its visual layout. The model is trained to recognize typical fields in primary documents — number, date, party details, line items, amounts, tax indicators — and correctly assign them to the relevant categories. This makes it possible to work not only with standardized templates but also with documents from different counterparties that vary in format and layout.

As a result, the user receives prepared structured data that can be verified and transferred into an accounting system without re-entering each field manually.

This is exactly the data an accountant usually transfers manually from a PDF into 1C or another accounting system. Extraction makes it possible to prepare it in a structured form, verify it, and pass it on without re-entering every field.

How Document Data Gets into an Accounting System

When documents are already in Vchasno.EDO, their data can be prepared in a structured form for transfer into an accounting system or a CRM without manual copying.

• The user receives the document or uploads it into the system.
• Then the user starts data extraction.
• The system analyzes the document and finds key fields.
• All extracted values are highlighted.
• The user verifies them and confirms correctness.
• After confirmation, the option to export the data becomes available.

💡 Estimate how many documents you transfer manually per day — that is your time-saving point.

Ways to Take the Data Out: JSON, XML, XLSX, or API — What to Choose

After the user has reviewed and confirmed the extracted data, a practical question comes up: how to transfer this data into the accounting system. Vchasno.EDO offers several scenarios for that.

📤 File Export: JSON, XML, or XLSX

File export works well in situations where you need structured data quickly without setting up integrations. After confirmation, the user can download a file with the document data and use it further according to the task.

• JSON is a format for technical and semi-automated scenarios. The data is mapped into clear fields, which makes it convenient to pass into accounting systems or use for further processing.
• XML suits companies that already support standard electronic data exchange formats or have automated document import set up.
• XLSX is a convenient option for accountants and finance teams. It allows you to get all extracted data in a table format, review it, use it for import, or continue working without any integrations.

This approach makes it possible to work with extracted data even in companies where accounting is not fully automated yet, or where integrations are planned later.

🔗 API for Integration with Accounting Systems

The API scenario is designed for teams that want to build a continuous data flow between Vchasno.EDO and accounting systems — without files and manual actions.

After confirmation, the data is automatically sent directly into an ERP, CRM, or another accounting system in a structured form. This makes it possible to:

• automate the transfer of primary documents into accounting records;
• keep a single data format across all systems;
• scale the process without increasing the team’s workload;
• build a controlled and transparent data exchange.

This scenario is typically chosen by companies with a higher level of automation and a larger document volume, where processes are integrated across multiple systems. It is implemented in environments where there is a dedicated team or responsible specialists who set up integrations and maintain their stable operation.

Security: What You Need to Know

Working with primary documents is always tied to sensitive data: financial indicators, company details, counterparty information. That is why, when using data extraction tools, security is one of the first questions — especially from accountants and financial leaders.

In Vchasno.EDO, data extraction works in compliance with information protection requirements. Customer data is not used to train artificial intelligence algorithms and is not shared with third parties. Document processing happens inside the service’s protected infrastructure.

That means information from your documents does not go into external training datasets and is not used to improve third-party models. Documents remain within the service, and access to them is governed by the same roles and permissions that are already configured in the company.

Data Extraction: Benefits for Different Roles in a Company

Data extraction in Vchasno.EDO is useful for different roles in a company, but for different reasons. An accountant, an IT specialist, and a business analyst look at this capability from their own perspective — and each gets practical value in their own workflow.

• For an accountant, it is primarily about removing routine workload.

Data from invoices, acts, and delivery notes does not need to be entered manually — it is enough to review the highlighted fields and confirm them. This speeds up processing of primary documents, reduces the number of errors, and lowers stress during peak workloads and reporting periods.

• For an IT specialist or a system integrator, the key benefit is process predictability.

After confirmation, the data becomes structured and ready to be transferred into accounting systems. You can build API integrations, set up automated flows, and scale the solution without relying on manual operations.

• For a business analyst or a PM, the measurable impact matters.

Document processing time is reduced, the number of errors decreases, and it becomes easier to implement changes in processes. The mechanics are easy to explain to the team and deliver results already at the early stages of use.

How to Start Using Data Extraction

To use data extraction in Vchasno.EDO, you do not need to change your usual workflow or connect separate services. This feature is available directly in the document as soon as it appears in the system — after receiving it or uploading it.

The user works in the same personal account: opens the document, reviews the extracted details, verifies them, and chooses how to transfer the data — as a file or through an integration. All actions happen within one environment, without switching between systems.

If your account requires separate access or clarification of usage terms, this can be quickly checked through the customer care team or your manager. In other cases, extraction works immediately, without additional training or team preparation.

Conclusions

Data extraction in Vchasno.EDO removes manual data transfer after a document is signed. The information is prepared right away for transfer into an accounting system without copying and “eyeballing” checks.

The key value of this capability is not speed by itself, but control. Data gets into accounting already verified, in a clear format, without losing the document context. This reduces the number of errors and repeated reconciliations.

As a result, primary documents stop being operational ballast and start working as a full source of data for financial decisions, analytics, and control. This effect will be noticed fastest by teams with a large volume of primary documents and strict deadlines, where every manual action multiplies by the number of documents. Then each team can choose a convenient format for working with the data — from file export to automated transfer into an accounting system — and test the process on real documents.