Software Alternatives, Accelerators & Startups

MockServer VS Amazon Textract

Compare MockServer VS Amazon Textract and see what are their differences

MockServer logo MockServer

Easy mocking of any system you integrate with via HTTP or HTTPS.

Amazon Textract logo 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.
  • MockServer Landing page
    Landing page //
    2022-03-13
  • Amazon Textract Landing page
    Landing page //
    2023-04-13

MockServer videos

No MockServer videos yet. You could help us improve this page by suggesting one.

+ Add video

Amazon Textract videos

Amazon Textract: First Look

More videos:

  • Review - AWS re:Invent 2018 – Announcing Amazon Textract
  • Review - Introducing Amazon Textract: Now in Preview

Category Popularity

0-100% (relative to MockServer and Amazon Textract)
API Tools
100 100%
0% 0
OCR
0 0%
100% 100
Developer Tools
100 100%
0% 0
Image Recognition
0 0%
100% 100

User comments

Share your experience with using MockServer and Amazon Textract. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare MockServer and Amazon Textract

MockServer Reviews

We have no reviews of MockServer yet.
Be the first one to post

Amazon Textract Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

Social recommendations and mentions

Based on our record, Amazon Textract seems to be a lot more popular than MockServer. While we know about 34 links to Amazon Textract, we've tracked only 3 mentions of MockServer. 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.

MockServer mentions (3)

  • Please recommend a good API Mocking tool
    The open-source examples are mockoon, mock-server.com, etc. Source: about 1 year ago
  • Testing with MockServer
    I've just found out MockServer and it looks awesome 🤩 so I wanted to check it out repeating the steps of my previous demo WireMock Testing which (as you can expect) uses WireMock, another fantastic tool to mock APIs. - Source: dev.to / about 2 years ago
  • How to unit test successful Oauth requests of 3rd party API's?
    I tend to use MockServer. With MockServer you can define inputs, so you can say that the request should look like this with that URL, etc etc. That way you can verify that the request looks okay. Source: over 2 years ago

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
View more

What are some alternatives?

When comparing MockServer and Amazon Textract, you can also consider the following products

Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.

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.

Request inspector - Debug web hooks, http clients

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

Webhook.site - Instantly generate a free, unique URL and email address to test, inspect, and automate (with a visual workflow editor and scripts) incoming HTTP requests and emails.

Nanonets OCR - Intelligent text extraction using OCR and deep learning