Automating document data entry and contract preparation

A good real-world example is registering a new customer at a fitness club.

A visitor comes to reception, chooses a membership, and wants to sign a contract. The manager then begins a standard set of manual tasks.

The employee takes the customer's passport and reads their surname, first name, patronymic, date of birth, document number, issuing authority and date, registered address, and other details. They enter this information into the CRM or the club's internal system. The manager then manually fills in the contract with the customer's personal details, chosen plan, membership term, price, start date, additional terms, and other fields.

If the club uses several systems, the data has to be entered more than once: first into the CRM, then into the contract template, and sometimes into Excel or an attendance tracking system as well. After filling it in, the manager checks the document, prints or saves it, confirms it with the customer, and then manually emails the contract.

Even when the process appears simple, it includes many routine tasks. An error in a single passport digit, date of birth, or address creates inaccuracies in both the CRM and the contract. When customer volume is high, employees spend their time filling in repetitive fields rather than serving the visitor.

The manual process looks like this:

Document automation works particularly well in processes like these: there is little creative work but plenty of repetitive activity, where errors and wasted time are especially visible.

With automation, the customer does not have to wait while an employee copies information from their document. Instead, the visitor presents their passport or another document to a scanner, camera, or document capture interface. The system captures the image and starts processing it.

The first stage uses OCR, a technology that recognizes text in an image or scan. OCR extracts the text, and text-LLM-model or a specialized module then separates it into fields: full name, date of birth, document number and series, address, and other required details.

Next, python-script brings the data into a consistent format, checks required fields, and prepares it for transfer. The system then automatically creates or updates a customer record in the CRM. The manager no longer needs to copy information from the document manually.

The next step is generating the contract. Using a template, the system inserts the customer's details, selected plan, term, price, and other parameters. It automatically produces a completed document in Word or PDF format. If needed, the document can be saved directly in the CRM, file storage, or a PostgreSQL database.

The contract is then automatically emailed to the customer. Within a few seconds of the document being read, the customer receives an email with the completed contract, while the manager sees the new record, attached contract, and registration status in the CRM.

The process changes fundamentally. Employees no longer mechanically transfer data. They oversee the process and help the customer while the system handles most of the routine work. This speeds up registration, reduces errors, and makes the service noticeably more convenient.

This pipeline can be used beyond fitness clubs. The same approach can automate customer registration at medical centers, service companies, sales offices, collection points, hotels, clubs, training centers, and other businesses where document details are regularly copied into CRMs and contract templates.

This kind of automation suits many processes in which documents are read and copied manually:

• preparing contracts at fitness clubs
• registering customers at medical centers
• completing forms and contracts at sales offices
• receiving applications and documents at service companies
• registering guests, visitors, and customers
• automatically filling in CRM records
• generating documents from a passport, ID, or application form
• recognizing text in PDFs, images, and scans and then transferring the data into a system