Amazon Textract VS Geocode Earth

Amazon Textract Reviews

Geocode Earth Reviews

Amazon Textract mentions (34)

• Classifying and Extracting Data using Amazon Textract

  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 / 3 months ago

• Ask HN: OCR for 100 year old (German) handwritten cursive script?

  You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / 4 months ago

• Deploy and Test AWS Step Functions with Node.js

  Create a main.js file inside the look-for-github-profile-step project folder. Implement the code that parses the resume and plucks the GitHub profile URL. This step function is responsible for using Textract (an AI service from AWS) and passing state back to the state machine. - Source: dev.to / 7 months ago

• Automate invoice processing using AWS Textract

  The primary challenge in processing invoices is extracting the relevant data. This is where Amazon Textract can help. It is a service provided by Amazon Web Services (AWS) that uses advanced Machine Learning (ML) algorithms to automatically extract structured and unstructured data from scanned documents, images, and PDF files. It can detect typed and handwritten text in different types of documents including... - Source: dev.to / 9 months ago

• Case study: PDF Insights with AWS Textract and OpenAI integration

  First, we’ve decided to leave open-source solutions behind. We’ve used AWS Textract to parse PDF files. This way we don’t rely on the internal structure of the PDF to get text from it (or to get nothing - like in the case of the Uber example). Textract uses OCR and machine learning to get not only text but also spatial information from the document. - Source: dev.to / 9 months ago

Geocode Earth mentions (5)

• Serverless maps at 1/700 the cost of Google Maps API

  As the developer of this system, I concur with this; Protomaps is focused on map tiles, and can be used with other solutions such as http://geocode.earth for search. A small detail: I don't believe this is the absolute cheapest way to deliver map tiles. Renting an unmetered bandwidth server is always going to be the cheapest way to host content, but unmanaged servers don't give you SSL termination, infinite... - Source: Hacker News / about 1 year ago

• Is there a free version / alternative of google places api?

  The honest truth is that google places is simply the best in the world, and the 2nd place is far behind. that's probably foursquare. After that, mapbox, then mapquest, then https://geocode.earth/. All of those are paid. Source: about 2 years ago

• Mantle – Serverless Maps Using Lambda or Cloudflare Workers

  The stack I describe in the post is only for map tiles - Map tiles are a good fit for CDNs because the input space is small (just Z/X/Y coordinates on a square grid) and thus very cacheable. Geocoding is a very different problem because the input space - human language - is much, much larger, and answering queries quickly to support features like autocomplete really requires a server with hot data in memory. One... - Source: Hacker News / about 2 years ago

• Positionstack (by APILayer) Geocoding-API down for over 14 days, with no ETA

  If anyone comes across this looking for an alternative, we can help at Geocode Earth (https://geocode.earth). We're a small independent company that has been working on geocoding since 2013, first as part of Mapzen(https://mapzen.com), and then with our own self-funded business after Mapzen shut down at the start of 2018. Our core software, the Pelias Geocoder (https://pelias.io) is open source, and ironically we... - Source: Hacker News / about 2 years ago

• Should you contribute open data to OpenStreetMap for free?

  Here is why you should contribute to OSM even though there are major players profiting from it: OSM is big enough and good enough that all the tech giants (except Google) would do better to start with OSM and improve it to meet their needs than to start a new, completely proprietary map from scratch. That means that we are in an amazing place where in addition to the substantial volunteer OSM community, there are... - Source: Hacker News / over 2 years ago