Tabscanner

Tabscanner's Receipt OCR API works by leveraging advanced optical character recognition (OCR) technology to extract data from scanned receipts and invoices. Here’s a breakdown of how it typically functions:

Image Input: Users upload images of receipts or invoices through the API. These can be in various formats, such as JPEG or PNG.

Preprocessing: The uploaded image undergoes preprocessing to enhance quality. This may include adjustments for brightness, contrast, and alignment to ensure optimal OCR performance.

Text Recognition: The core OCR technology analyzes the processed image to identify and extract text. This involves recognizing characters, words, and numbers, and converting them into machine-readable formats.

Data Extraction: Once the text is recognized, the API extracts relevant data fields such as merchant names, dates, totals, line items, and payment methods.

Post-processing: The extracted data may undergo validation and formatting to ensure accuracy and usability. This step helps in correcting any misrecognized text and structuring the data appropriately.

Output: The API returns the extracted data in a structured format, such as JSON, making it easy for developers to integrate into their applications.

Integration: Developers can easily integrate the API into their systems for real-time receipt processing, making it useful for expense tracking, accounting, and financial management.

Overall, Tabscanner's Receipt OCR API simplifies the process of digitizing and managing receipt data, enabling businesses to automate their expense management processes efficiently.

Our OCR technology leverages a combination of advanced machine learning models and sophisticated pre-processing algorithms, ensuring fast and highly accurate results.

This is all made accessible via a straightforward, user-friendly API, empowering developers to quickly integrate, iterate, and innovate.

It also happens to be the cheapest solution. It is used globally, supporting all currencies and languages.