Google Images
TinEye
SauceNAO
Yandex.Images
PimEyes
Bing Image Search
Google Lens
Image Search Options
Nanonets
Docsumo
DocParser
Amazon Textract
ABBYY FineReader
Tesseract
Base64.ai
Rossum
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
Google Images NanonetsBased on our record, Google Images seems to be a lot more popular than Nanonets. While we know about 625 links to Google Images, we've tracked only 6 mentions of Nanonets. 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.
Go to Google Images then choose Search by Image (middle button) and paste in an image link. You get a few similar images, one says Dubai, which at least gives you the city. Then go to Google Maps, type in McCafe (there are a few) and start looking at Street Views for each location until you find it. Source: 6 months ago
How can I check whether my design is unique or not? You can check by the following two methods: 1- Google Reverse Search Https://images.google.com/ 2- Tineye (https://Tineye.com) Visit any above-mentioned site and then simply submit your purchased png file to check it for uniqueness. In case of any matching, you can make a complaint by visiting our 'contact us' page. Source: 6 months ago
Go to https://images.google.com/ and then type in the search term "schematics". Refine your quest by using additional search terms like "arduino" or "5 volts" or "beginner circuits", "simple circuits", "breadboard experiements" etc. Source: 6 months ago
Everyone’s stb scenes are different. you’ll have to find that scene on one of the many jj help sites such as: regis (make sure to use pound sound / hashtag in between listed items instead of spaces), thatsleuthlife (make sure to use semicolon between listed items instead of space), find.june (upload the grayed {locked} or colored {unlocked} mini picture on the bottom of the screen where you view the steps),... Source: 6 months ago
In addition to no 2, you may also upload the image to https://images.google.com. Source: 11 months ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 2 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 2 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 2 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 2 years ago
TinEye - Reverse Image Search to help find an image's source, duplicates or altered versions.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
SauceNAO - SauceNAO is a reverse image search engine.
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.
Yandex.Images - search for images on the internet, search by image
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.