space ocr is an innovative OCR (Optical Character Recognition) tool designed to turn unstructured photos and documents—such as receipts, invoices, and forms—into structured, queryable tables. Built for both end-users and developers, it operates seamlessly as both a standalone desktop/folder application and a flexible API.
What sets space ocr apart is its ability to check its own answers. Every extracted value comes with provenance tracking, showing you precisely where it originated from in the original document. Users can easily drop documents into a folder within the app or send them programmatically to the API, transforming each page into a clean row that can be filtered and sorted effortlessly.
Created by maker Yongha Hwang, space ocr caters to productivity enthusiasts and developers alike, offering a generous tier of 100 free pages a month to get started with document extraction and workflow automation.
space ocr is an OCR tool that turns photos of receipts, invoices, and forms into structured tables that you can easily filter, sort, and query. It features a self-checking mechanism and is available as both an app and an API.
You can either drop documents into a folder within the app or send them directly to the API. Each document page is converted into a row in a table, and every extracted value displays its source origin on the document.
Yes, space ocr offers 100 free pages a month.
Yes, space ocr provides an API option designed for developers to build, integrate, and scale document processing into their software.
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