Nanonets
DocParser
Docsumo
Rossum
DocuClipper
Parseur.com
Bank Statement Converter
Veryfi
vscode.dev
replit
GitHub Codespaces
VS Code
StackBlitz
Cursor
CodeSandbox
CloudShell
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 NanoNetsโ 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. Itโs 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: โ It reduces the amount of data needed to build a Deep Learning Model โ NanoNets handles the infrastructure for hosting and training the model, and for the run time โ It reduces the cost of running deep learning models by sharing infrastructure across models โ It is possible for anyone to build a deep learning model
Nanonets vscode.devNanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
Based on our record, vscode.dev seems to be a lot more popular than Nanonets. While we know about 278 links to vscode.dev, 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.
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 4 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: about 4 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: over 4 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 4 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 / almost 5 years ago
Lightweight: Designed for speed, it works everywhereโincluding vscode.devโwithout the bloat. - Source: dev.to / 3 months ago
It's VSCode, so it's 90% similar to https://vscode.dev. - Source: Hacker News / 4 months ago
It is basically VS Code Web. Try https://vscode.dev/ to see how you feel. If you don't like it you won't like cider. - Source: Hacker News / 4 months ago
GitHub Codespaces provides 60 hours of free compute time every month, which is more than enough for scoped home assignments or interviews. Itโs a full VSCode in the browser at github.dev or vscode.dev. - Source: dev.to / 9 months ago
In VSCode extensions this is trivial, this is how you create the 'executable': https://github.com/floooh/vscode-kcide/blob/main/src/wasi.ts ...and this is how you run it: https://github.com/floooh/vscode-kcide/blob/2dfc621aade4a2be06b6a0e703bebb244f5e414c/src/assembler.ts#L33-L40 The asmx.wasm file is a vanilla POSIX cmdline tool (https://github.com/floooh/easmx) which loads and saves files, and the tool has been... - Source: Hacker News / 9 months 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.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.
VS Code - Build and debug modern web and cloud applications, by Microsoft
