Space OCR transforms any document — receipts, invoices, PDFs, handwritten notes, or scans — into a searchable and queryable database. Every extracted value is anchored to its exact location on the source image, cross-checked by OCR and a language model, and returned with verification flags. It is available as a web app, self-verifying API with generous free tier, and Claude Code plugin. The system ensures no value is returned without evidence from the original document.
In the AI & ML space, space ocr takes a focused approach. It focuses on turning mountains of paper documents, receipts, and invoices into a searchable, verifiable structured database. It is built as a B2B product for developers and business users. There is a free tier. It runs on the web and API.
Key capabilities include Document OCR, Verifiable Data Extraction, and Source Anchoring. The interface is available in 4 languages, including English, Japanese, and Korean. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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