Google Cloud Functions
Google App Engine
Salesforce Platform
AWS Lambda
Dokku
Azure Web Apps
Now Platform
Zoho Creator
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Google Cloud Functions DocParserBased on our record, Google Cloud Functions should be more popular than DocParser. It has been mentiond 52 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.
If this sounds like Cloud Functions, here's the history. Cloud Functions 1st gen ran on older, separate infrastructure with strict limits: 9-minute timeouts, one request per instance, no concurrency. Cloud Functions 2nd gen (GA in 2022) was already built on top of Cloud Run under the hood, which unlocked 60-minute timeouts and multi-request concurrency. In 2024, Google made it official and rebranded 2nd gen as... - Source: dev.to / 4 months ago
Cloud Functions (GCF) -- originally serverless functions to compete with AWS Lambda; latest generation rebranded as Cloud Run Functions. - Source: dev.to / 7 months ago
Of course, I can't just directly give my static website permissions to modify my databases, which is why I created a Cloud Function as a "middle-man" -- we should always assume there will be malicious actors that will cause irreparable damage if they have direct access to a database (I don't want to get charged by Google Cloud hehe). - Source: dev.to / 11 months ago
Itโs a lightweight GitHub App built with Probot and deployed serverlessly on GCF. Here's what it does:. - Source: dev.to / about 1 year ago
Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically. - Source: dev.to / about 1 year 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
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
AWS Lambda - Automatic, event-driven compute service
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.
