Hasura
Supabase
GraphQL
Prisma
Heroku
Apollo
Firebase
How to GraphQL
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
Parsio.io
FlexiCapture
Hasura DocParserBased on our record, Hasura should be more popular than DocParser. It has been mentiond 123 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.
A few years back, I decided to replace our spreadsheet-based host and service registries with a proper, Web-based asset registry. It took us a few days to hack together a simple system that we could use to track our infrastructure elements. It was not a big project -- just a simple app backed by a database, Hasura, and a React frontend. Since we were already using OpenID for authentication, it was easy for our... - Source: dev.to / about 1 year ago
Hasura is a neck-to-neck competitor to Supabase as a BaaS, but with a crucial difference: its GraphQL-first approach. Unlike Supabase, Hasura doesn't bundle database services, allowing it to work with virtually any database including Supabase's own Postgres, Neon, and others. - Source: dev.to / over 1 year ago
Hasura and PostGraphile lead the PostgreSQL GraphQL landscape. Hasura provides real-time subscriptions and a powerful permissions system, while PostGraphile offers deep PostgreSQL integration and excellent performance for complex queries. - Source: dev.to / over 1 year ago
Here is an example data schema we get for a query using Hasura and GraphQL-Codegen. - Source: dev.to / almost 2 years ago
Hasura is a great tool. I was worried about a few things such as huge RAM consumption, excessive focus on new features and functions despite many outstanding issues, long time rewrite of the server in Rust, etc... - Source: dev.to / about 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: about 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
Supabase - An open source Firebase alternative
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.
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.
