Digitisation is playing an increasing role, and businesses are taking full advantage of OCR (Optical Character Recognition), which converts photos into text at lightning speed. Whether receipts, invoices or handwritten notes – OCR technology quickly and accurately extracts text from images. This saves businesses time and reduces the risk of errors in manual input.
What exactly is OCR?
OCR recognises text in images and converts it into editable and searchable digital text. For example, a system automatically turns a photo of a receipt into a digital line in your accounting system. Modern OCR systems even recognise handwriting and support multiple languages.
Practical applications
- Bookkeeping and administration: Invoices and receipts are automatically read and processed.
- Archiving: Old paper documents are made digitally searchable.
- Mobile apps: Users can scan and instantly process documents on the go.
Photo to Text for Invoice Processing
TriFact365 is a strong example of OCR in practice. The platform provides sophisticated software that allows users to process invoices. They simply upload a photo or scan of an invoice, after which TriFact365 recognises the data and immediately prepares it for posting in the linked accounting package.
TriFact365 differentiates itself by combining OCR with smart validation and machine learning. This makes the platform ideally suited for accountants, administrative offices and companies looking to automate their invoice processing.
The future of Photo to Text
AI and machine learning are making OCR ever smarter. Think of how systems automatically categorise documents, recognise context and even make predictions based on historical data. More and more companies are integrating OCR into their business processes – and TriFact365 is leading the way.
