Today, Optical Character Recognition (OCR) technology is commonly used to digitise various scanned documents into digital versions of readable and editable text. The OCR technology is used across all avenues of business and finance and is developing over time.
OCR stands for Optical Character Recognition, which converts scanned documents into machine-readable text. OCR is a boon to many businesses since it cuts down the manual entry task.
In the context of accounts payable, businesses use OCR scanning software to capture invoice data like item description, item codes, rates, payment dates etc. Using OCR vastly helps in cutting down the time to process & digitise invoices.
Information such as invoice date, invoice number, product code and the like are scanned and converted into digital formats that are machine-readable with the help of OCR.
Following are the uses of OCR-
OCR digitises invoices in seconds. It can automatically recognise details at header level items and line items of an invoice. Thereafter, it automatically makes invoice entry with high accuracy. A user takes an average of 12 mins for manual invoice entry and face an industry average error rate of 3-4%. It can be completely reduced by the use of OCR.
OCR converts the physical copies of invoices and other documents into a ready-to-use digital version. This eliminates manual entry and the process of encoding. Once the conversion is complete, text may be copy-pasted with ease.
e-Invoices generated by certain GST registered businesses contain signed QR codes that can be scanned to retrieve information about a B2B sale.
Documents can be fully copied and converted into machine-readable text. It helps offices to reduce the requirement of physical storage space. These e-versions can be stored on the cloud permanently. This ensures that the information is readily accessible at any time and the data is securely stored.
Pictures may also be copied and edited once the OCR technology extracts the text from the picture or document.
Invoices and handwritten documents may be scanned and converted into editable digital copies. It also serves as records of the business that can be retrieved easily.
Elimination of data entry is the biggest benefit for businesses using OCR. Data entry is often time-consuming and sloppy, thus making the accounts payable workflow processes longer than it should be.
Prior to the introduction of OCR, manual entry was the only option for businesses. Often, mistakes were made at the time of entry in the spreadsheets, especially with regard to the amounts corresponding to the accounts payables. This would cause further inconveniences to the businesses. However, since OCR scans the entire invoice, errors are significantly few or completely eliminated. OCR technology is consistently improving with AI and ML to reduce errors.
Costs are cut down drastically when OCR is used. The expenses for stationery, printing, manual labour, etc., are all eliminated using OCR. The money otherwise spent on these resources can be put to better use.
With the help of OCR, the physical invoice can be converted into digital copies that are compatible with various processing software such as Word, Excel, PDF, etc.
ClearCapture is an integrated solution that helps an organisation to digitise and validate incoming vendor invoices instantly. It ensures 100% error-free digitisation using OCR technology, runs 40+ compliance checks on vendor invoice data with an objective to protect from booking non-compliant/fraudulent invoices.
OCR helps to reduce the time taken for capturing invoice data, the extracted data can be sent back to ERP. Such automation helps speed up business processes overall and provides an easy solution for transferring invoice data to the business’s accounting database.
OCR works best for organisations that have a large number of invoices. Once it is integrated with the accounts payable process, the businesses will see savings in time, cost, and potential for error. However, one must ensure that the OCR technology is combined with automation capabilities to get the best out of it. Automation helps speed up business processes overall and provides an easy solution for transferring invoice data to the business’s accounting database.
Step 1: Scanning the invoice:
The employee either scans the physical copy of the invoice using a scanner or receives a scanned copy of the invoice from their supplier. They should ensure that the invoice is properly scanned.
Step 2: OCR software processes the invoice:
The software reads the header and line item level invoice information. Every data read is captured in a structured format and shown in the user’s screen for them to manually review/edit any information, if needed.
Step 3: Learn through Machine Learning:
The software recognises the corrections and edits made by the user and learns from them. The software improves its performance during the subsequent times from the past learning for an invoice of the similar format.
Step 4: Exporting the data:
After the final review, the digitised data can be exported as an excel file. It can be used by the user for their internal consumption or can be pushed to the ERP or any accounting systems for seamlessly booking an invoice without a hassle.