DocParser might be a bit more popular than Amazon ElastiCache. We know about 14 links to it since March 2021 and only 12 links to Amazon ElastiCache. 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.
Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / 7 months ago
Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / 8 months ago
Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 1 year ago
Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 1 year ago
Not to sound like a purist, but when I build serverless applications, I'd prefer for all of it to be serverless. Using Amazon Elasticache breaks that paradigm. That service has pay-per-hour pricing and doesn't quite have the flexibility I'm used to when working with serverless services. - Source: dev.to / over 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 11 months 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: 12 months 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: about 1 year 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: about 1 year 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 1 year ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
memcached - High-performance, distributed memory object caching system
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.