Amazon Textract Reviews

June 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 / 4 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 / 8 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 / 10 months ago

June mentions (8)

• Whom the Gods Would Destroy, They First Give Real-Time Analytics

  I think the point of real-time analytics is not to make product decisions but to get a sense of presence from your product and celebrate with your team. As an engineer on many teams shipping features I've found that it's somehow underwhelming to finally launch something after months of work. You launch and the only thing you get to celebrate is some donuts in the office and if something goes wrong a notification... - Source: Hacker News / 10 months ago

• I’ve roasted 850 landing pages in 2.5 years. Here are the 15 most common mistakes and how to fix them.

  Example: https://usefathom.com/ and june.so. Source: 11 months ago

• Launch HN: June (YC W21) – Product Analytics for B2B SaaS Companies

  Two and a half years ago my co-founder and I left our jobs on the product team at Intercom to try and build a startup. We went through YC and launched an analytics tool on top of Segment that allowed you to generate some pre-made reports for common product metrics (https://news.ycombinator.com/item?id=26155327 [1] https://www.fool.com/investing/2019/04/29/slack-relies-heavily-on-its-biggest-customers.aspx. - Source: Hacker News / 11 months ago

• A tale of product scoping and how we ended up taking two years to launch our own SDKs 📚 😂

  We heard that hundreds of times since we started june.so. Source: over 1 year ago

• Analytics explained by a 6 year old

  I'm a former PM who struggled way too much with this topic and recently launched an analytics platform called https://june.so. Source: almost 2 years ago