Our platform gives access to various Optical Character Recognition (OCR) technologies from the best providers.
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Optical Character Recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document. It also detects its position in the document.
Use Custom Document Parsing to automate the extraction of specific information from any document, reduce errors, and improve efficiency in your business processes.
Invoice Parsing makes it possible to extract information from an invoice: customer, address, supplier, product, quantities, tax information, etc.
Resume Parsing enables the extraction of various pieces of information from a resume and returns structured data to automate the processing.
Table Parsing makes it possible to extract information from a table while preserving the structure and not a simple succession of unstructured texts.
Receipt Parser makes it possible to extract information from a receipt: products purchased, quantity, price, date, VAT amount, etc.
Passport Parser technology allows you to automatically extract information from a passport. This API is ideal for developers looking to create applications that require identity verification or access control. Just send your document to Passport ID/Passport Parser and it will return JSON with all of the associated data including name, date of birth, nationality and more
"We are a nonprofit organization that tries to accelerate the transformation towards a sustainable society. I currently use Eden AI to extract invoice data. A bookkeeping document gets scanned, and automatically uploaded to our Google Drive. The relevant information gets extracted by Eden AI and an entry is created in our Notion. I then correct or fill in missing data manually. I use Make.com to build the automation scenario, since I’m not a professional developer but can operate low-code platforms."
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John. H
Board of Directors at weniger e.V.
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