
Rossum
DocParser
Nanonets
Docsumo
Parseur.com
Veryfi
FlexiCapture
Klippa
Docus
TurboScanner HD
Quick Scan
Scanner Pro
ScreenOCR for iOS
Indoscan
Photo Scan
DocScan
Based on our record, Rossum seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Embrace the AI bubble: https://rossum.ai/ (I'm not affiliated). Source: about 3 years ago
Now my main point (no, not IBM cloud services !) An other way is desktop tool/cloud tool that are OCR dedicated to "formatted documents" like ROSSUM or KLIPPA and... (https://rossum.ai/, https://www.klippa.com/en/ocr/identity-documents/driving-licenses). The idea, if I remember well the business model, is like a lot of small companies need all to make OCR on the same type of documents you can pre-learn an IA then... Source: almost 4 years ago
You should check out https://rossum.ai/ I think their product fits your usecase. Source: about 4 years ago
I have seen some site like https://rossum.ai/ and while I think it is very difficult is there a way to improve it like them ? Source: almost 5 years ago
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
TurboScanner HD - TurboScanner HD is an app for iOS that enables you to convert the iPad or iPhone into a useful scanner and also serves as small fax or air printer in your pocket.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Quick Scan - A scanner utility that enables you to quickly scan documents and manually set the DPI level...
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Scanner Pro - Scanner Pro turns your iPhone into portable scanner in your pocket.