GitHub
GitLab
BitBucket
VS Code
Treehouse
Git
Pantheon
CodePen
DocParser
Nanonets
Docsumo
Parseur.com
Invoice Data Extraction
Nanonets OCR
DocuClipper
Free Online OCR [Docsumo]
GitHub DocParserBased on our record, GitHub seems to be a lot more popular than DocParser. While we know about 2256 links to GitHub, we've tracked only 14 mentions of DocParser. 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.
We invite you to join the discussion and explore further on platforms like GitHub and Twitter, where the conversation around open source funding and licensing continues to evolve. - Source: dev.to / about 15 hours ago
Git remote add origin https://github.com/username/next-hello-world.git. - Source: dev.to / 1 day ago
I am using GitHub for both personal and work projects. In the past, I used BitBucket, and at some point I considered using GitLab, too. However, the popularity of GitHub and its ecosystem made it hard to ignore. I even use GitHub to follow trends in my profession. - Source: dev.to / 3 days ago
Def search_github_issues(repo, query, state="open"): # Your GitHub API code here return {"issues": [{"title": "Example issue", "number": 42, "url": "https://github.com/..."}]}. - Source: dev.to / 5 days ago
This post provides a comprehensive exploration of India’s dynamic open source development ecosystem. It delves into historical context, core concepts, community building, practical applications, challenges, and future innovations. We discuss how talented developers, vibrant communities, and supportive government initiatives converge to power open source growth in India. The article also integrates additional... - Source: dev.to / 9 days ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 2 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: almost 2 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: about 2 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: about 2 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 2 years ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
