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Crystal (programming language)
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Based on our record, Crystal (programming language) should be more popular than Amazon Textract. 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.
Which can include type assertions but also a lot more. The agents seem to do well with this. I've also had good results using agents to write Crystal https://crystal-lang.org/ which is Ruby-like but does have the static types and produces blazing fast static binaries. Might be a sweet spot for coding agents if you're building some backend services. But I'd still pick Ruby on Rails for a new full stack project. - Source: Hacker News / 3 months ago
Sounds a lot like Crystal, which is also similar to Ruby and features a green fiber runtime: https://crystal-lang.org/#concurrency. - Source: Hacker News / 4 months ago
> 1. Go with a better type system. A compiled language, that has sum types, no-nil, and generics. I was looking for something like that and eventually found Crystal (https://crystal-lang.org) as a closest match: LLVM compiled, strong static typing with explicit nulls and very good type inference, stackfull coroutines, channels etc. - Source: Hacker News / 6 months ago
Wondering why https://crystal-lang.org/ hasn't been mentioned in the comments. - Source: Hacker News / 9 months ago
> What kind of code snippets could you suggest? Anything really! Some websites that do this currently: https://ziglang.org, https://crystal-lang.org and https://www.ruby-lang.org/en > I have a comparison table mentioning features Yes - I did see this in the README. Maybe worth adding it, or something similar to the website. - Source: Hacker News / 10 months ago
Production-grade solutions leverage AWS AI/ML services to complement Amazon Bedrock. Amazon Comprehend provides natural language processing capabilities. Amazon Rekognition captures frames from videos for visual analysis. Amazon Bedrock Data Automation handles complex document processing, while Amazon Textract extracts text and data from documents. - Source: dev.to / 5 months ago
We were a little concerned that working with documents and Bedrock was going to mean a bunch of effort by using Texttract. I was glad we were proven wrong. I was able to build a quick proof of concept using the Bedrock API in 10 - 15 minutes. - Source: dev.to / over 1 year ago
Amazon Textract is an OCR service provided by Amazon Web Services (AWS), specifically designed to extract text and data from scanned documents and images. It not only recognizes text but also comprehends the document's structure, including tables and forms. This capability makes it especially valuable for applications requiring detailed data extraction, such as invoice processing and form digitization. - Source: dev.to / about 2 years ago
Did you try textract? https://aws.amazon.com/textract/ In my experience it works amazingly well with columns / tabulated content. - Source: Hacker News / about 2 years ago
Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / over 2 years ago
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
Laserfiche - Laserfiche offers powerful document management software solutions that are easy to implement and easy to use.
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
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