GitHub Codespaces
replit
StackBlitz
CloudShell
vscode.dev
CodeTasty
AWS Cloud9
StackHive
Parsio.io
Parseur.com
DocParser
Nanonets
Airparser
Docsumo
Parserr
DocuClipper
Parsio is an AI-powered document parser that extracts data automatically. It uses machine learning to extract structured data from emails, PDFs, Excel, CSV, HTML and XML files.
The parsed data can be exported in real time to Google Sheets, Slack, Notion, Airtable, and 6000+ apps via Zapier and webhooks.
Say goodbye to manual data entry and streamline your data extraction process with AI-powered document parser.
GitHub Codespaces Parsio.ioBased on our record, GitHub Codespaces should be more popular than Parsio.io. It has been mentiond 152 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.
First, remote dev environments became table stakes. GitHub Codespaces, Gitpod, and self-hosted dev containers became how serious teams worked. Every engineer I know who ships to production now SSHs into a box they didn't provision, edits files with whatever editor is installed, and commits from a terminal. An IDE-bound agent requires you to also forward your IDE to the remote box, which most people don't bother... - Source: dev.to / 3 months ago
This package provides support for managing GitHub Codespaces in Emacs and connecting to them via TRAMP. It provides a handy completing-read UI that lets you choose from all your created codespaces. - Source: dev.to / 5 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 / 8 months ago
GitHub Codespaces - Cloud development. - Source: dev.to / about 1 year ago
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions โ all with a single click. - Source: Hacker News / over 1 year ago
Parsio.io โ Free email parser (Forward email, extract the data, send it to your server). - Source: dev.to / over 2 years ago
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: almost 3 years ago
I'm the founder of Parsio (https://parsio.io). We use pre-trained AI models to automatically extract tables from PDFs. It works perfectly in most cases. Source: almost 3 years ago
To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / almost 3 years ago
I'm building Parsio (https://parsio.io), a document parser tool. It can extract structured data from emails, PDFs, HTML, Word, Excel, and other file types. Source: about 3 years ago
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
StackBlitz - Online VS Code Editor for Angular and React
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.
CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
