
Imgur
ImgBB
Streamable
PostImage.org
Flickr
Photobucket
500px
Google Photos
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
Imgur
DocParserImgur is recommended for individuals who enjoy browsing creative and humorous content, sharing memes, and engaging with a community of like-minded users. It's also ideal for those who want to discover new images quickly and easily, without the need for extended reading or content search.
Based on our record, Imgur seems to be a lot more popular than DocParser. While we know about 5461 links to Imgur, 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.
I'm in the UK and can't access https://imgur.com/ - an American service that now refuses to serve content to Britain because "On September 30, 2025, Imgur blocked users from the United Kingdom in response to a potential fine from the Information Commissioner's Office regarding its handling of children's personal data". I presume that means OSA. It does lend credibility to the blocks when it's US companies trying... - Source: Hacker News / 6 months ago
> If you've ever opened Reddit, LinkedIn, Pinterest, or practically any popular service on your phone's web browser, you've likely encountered it. Another website that asks to Get The App is https://imgur.com/ , every time you open a link to just view that image you instantly got asked to Get The App. It's really annoying! - Source: Hacker News / about 1 year ago
For this reason, I typically suggest users host their images on Imgur (https://imgur.com/), as the issues mentioned above do not exist for Imgur URLs. - Source: dev.to / almost 2 years ago
I developed a full-stack image sharing platform similar to Giphy or Imgur in order to showcase the power of building full-stack applications with only Netlify Primitives. - Source: dev.to / over 2 years ago
In the beginning, finding a place to store images was quite difficult. I once set up a simple image server using Node.js, but it was a burden to maintain. There were many things to consider, and I didn't want to spend too much time on that. By chance, I found the website imgur.com - which allowed me to upload images without many restrictions, and at that time, the image loading speed from imgur was quite good, so... - Source: dev.to / over 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 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: over 3 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: over 3 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: over 3 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 3 years ago
ImgBB - Upload and share your images.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Streamable - Fast and easy video streaming for bloggers and publishers.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
PostImage.org - Provides free image upload and hosting integration for forums.
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.