Docutain
Genius Scan
Project Oxford
Google Vision AI
Scanbot
Office Lens
Adobe Scan
Microsoft Office Lens
Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
SCAN Invoices, university documents, insurance papers, recipes and many more can be digitized, organized and exported as PDF-files using Docutain. Thanks to the automatic edge detection and image procession in best quality.
EDIT Manual crop, color filter, add, rearrange, remove or edit pages. Even after saving, these options are still available.
ORGANIZE Title, tags, address, document type, amount, text recognition, date, tax relevance. Each document can be saved including this information. Organizing documents was never that extensive and easy at the same time.
SAFETY To secure your data from loss, you can not only save them locally, but also connect Doctuain to a cloud service of your choice and synchronize your data with all your devices, including windows desktop. In addition, data encryption can be activated and the app access can be secured with a password / fingerprint.
FIND Each document can be found by the information specified when saving. In addition, the text recognition (OCR) enables all documents to be searched for individual terms via the full-text search.
Docutain Amazon RekognitionBased on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 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.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 10 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
Genius Scan - On The Go.
Clarifai - The World's AI
Project Oxford - A catalogue of artificial intelligence APIs by Microsoft
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Kairos - Facial recognition & mood detection API
Scanbot - Scanbot is a mobile app that allows you to use your device's camera as a document scanner. The app is capable of scanning a large number of source materials, and it can handle QR codes as well.