Parseur.com
DocParser
Nanonets
Docsumo
Parsio.io
Parserr
Mailparser
DocuClipper
Labelbox
Playment
Supervisely
CloudFactory
Universal Data Tool
CrowdFlower
Dataloop AI
Labeling AI
Parseur is a leading document processing software ranging from email parsing to PDF extraction. Use Parseur to automate text extraction from emails, PDFs, spreadsheets, attachments and documents and put your business on auto-pilot. Setup is easy as everything is point & click and intuitive. Send parsed data to thousands of applications in real time via our integrations with Google Sheets, Zapier, Microsoft Power Automate and Make or your custom application using webhooks.
Companies in finance, food delivery, real estate, e-commerce, marketing, logistics & delivery, travel, hospitality and more are saving thousands of work hours every month by automating their data entry process with Parseur.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Parseur.com LabelboxWhen dealing with entities that send lots of data in an unstructured way because they think a PDF is the end of their digitalization process, Parseur is a great tool to automate reading this PDF and converting its data into structured json and then from their you can send it to your endpoint.
Email may probably never die but that doesn't mean that business processes should be slowed or halted. Parseur enables us to create a lot more efficiencies by handling email data as though it was keyed in by a customer agent.
There are other services that do this but for the low cost and the ease of use, this service is the best.
For those of us working in the European Union, Parseur was also easy to assess and approve for GDPR requirements.
The support for post processing is very powerful and with a extensive export options, it is very easy to get data into the right funnel.
Service goes down often. Very slow team. Slow support.
Parseur.com might be a bit more popular than Labelbox. We know about 12 links to it since March 2021 and only 10 links to Labelbox. 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.
You can get an account with https://parseur.com/ and then a number with OpenPhone, and Zappier. Those 3 will let you do what you want (easily). Source: over 3 years ago
I’m sure this is super cool, but have you considered https://parseur.com it’s built for stuff like this. Source: over 3 years ago
For more complex layouts, or if you have to deal with several layouts, it may be better to use third party document extraction tool that connects to like Parseur. Source: over 3 years ago
You could use a document parser tool, like Parseur to better automate the process. Source: almost 4 years ago
And if you ever are in need of an intelligent document processing software, have a look at Parseur.com (of which I'm the co-founder, sorry for the shameless plug ;-)). Source: over 4 years ago
Cursor's security agents primarily operate in the first dimension, catching vulnerabilities in code. That's valuable and necessary work. But as you'll see in the walkthrough below, the other two dimensions matter just as much, especially at enterprise scale. And the organizations getting the best results, like Labelbox, which cleared a multi-year vulnerability backlog by running Cursor and Snyk together, are the... - Source: dev.to / 6 months ago
Use tools like Weights & Biases, Labelbox, or Maxim’s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / about 1 year ago
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / almost 4 years ago
Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: about 4 years ago
By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: over 4 years 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.
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
CloudFactory - Human-powered Data Processing for AI and Automation