DocParser VS nivo
Compare DocParser VS nivo and see what are their differences
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DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
nivo
Vizzu
D3.js
ApexCharts
Chart.js
Recharts
MRRArt Pro
Victory
DocParser nivoBased on our record, nivo should be more popular than DocParser. It has been mentiond 25 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.
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
Cool viz, I guess it's using https://nivo.rocks/? - Source: Hacker News / about 1 year ago
Nivo is an efficient React analytics library with server-side chart rendering capabilities. It can generate responsive bar, line, and pie charts using pure HTML, SVG, and Canvas. - Source: dev.to / over 1 year ago
Nivo charts offer a versatile and powerful way to transform your raw data into visually stunning insights. From the classic Bar and Pie charts to the dynamic Bump and Calendar charts, Nivo provides the tools you need to create interactive and impactful data visualizations. By experimenting with the CodeSandbox examples, you can see firsthand how customization and interactivity can bring your data stories to life. - Source: dev.to / almost 2 years ago
Up to now we had been using the excellent Nivo dataviz library for React, but I wasn't sure how to customize it to support such a specific use case, or even if it was possible at all:. - Source: dev.to / over 2 years ago
Another alternative - I haven't tried this but bookmarked that one: https://nivo.rocks (https://github.com/plouc/nivo). - Source: Hacker News / over 2 years ago
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Vizzu - Vizzu lets you use animated charts to share insights in complex data sets as self-explanatory stories.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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.
ApexCharts - Open-source modern charting library ๐