Optical Character Recognition (OCR)

Optical Character Recognition (OCR) is a technology that extracts text from images like receipts or invoices, automating expense reporting by digitizing data such as amounts, dates, and vendors. Integrated into mobile apps, it enables instant receipt scanning, reducing manual entry and errors. OCR supports diverse receipt formats, including multi-currency and tax fields, with high accuracy powered by AI. Users can edit misread data for precision, and approvers validate entries against scanned images. This streamlines expense processing, enhances compliance, and reduces administrative workload for finance teams.

Frequently Asked Questions:

What is Optical Character Recognition (OCR)?

OCR is a technology that reads and extracts text from images such as receipts, invoices, or bills so that the data can be digitized and processed automatically.

How does OCR help with expense reporting?

OCR removes the need for manual data entry. Users can simply snap a photo of a receipt, and the system auto-fills fields like amount, date, merchant, and currency.

Is OCR available in your mobile app?

Yes. OCR is built into our mobile app, allowing users to scan receipts instantly and submit expenses on the go with just a few taps.

What types of receipts can OCR read?

OCR supports printed receipts, hotel bills, taxi slips, e-receipts (PDF or images), and even partially crumpled or low-light images thanks to AI-enhanced scanning.

How accurate is OCR scanning?

OCR in our platform is powered by intelligent parsing and machine learning, achieving high accuracy in identifying key fields especially for standard receipt formats.

Can OCR handle multi-currency or tax fields?

Yes. OCR extracts and recognizes different currencies, taxes, and even line-item breakdowns helping with global compliance and detailed reporting.

What happens if OCR misreads a receipt?

Users can easily edit any auto-filled fields before submission. Approvers also see both the scanned image and editable data for validation.

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