DocParser VS SST
Compare DocParser VS SST and see what are their differences
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DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
SST
Netlify
Coolify
Vercel
Serverless
Heroku
GitHub Pages
Neocities
DocParser SSTBased on our record, SST should be more popular than DocParser. It has been mentiond 31 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: 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
After researching all night, https://github.com/serverless-stack/sst seems like a good trade off between flexibility, simplicity and features. Source: over 3 years ago
I use https://github.com/serverless-stack/serverless-stack โ not the serverless project. This one is far better. Source: over 4 years ago
That said: SST is open source, so you could maybe somehow reimplement their debug stack which is the websockets magic + the Lambda shim in terraform to get it working... Source: over 4 years ago
If you are using CDK then check out SST: https://github.com/serverless-stack/serverless-stack It's based on CDK and has a great local development environment for Lambda. It allows you to set breakpoints and test it locally: https://serverless-stack.com/examples/how-to-debug-lambda-functions-with-visual-studio-code.html. - Source: Hacker News / over 4 years ago
I'll just plug what we built, SST: https://github.com/serverless-stack/serverless-stack. Source: over 4 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.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative.
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.
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.