Newsletter Subject

Extracting Text From Images Using Vision APIs

From

appcoda.com

Email Address

support@appcoda.com

Sent On

Wed, Jul 24, 2024 10:05 AM

Email Preheader Text

Extracting Text From Images Using Vision APIs Hello, The Vision framework has long included text rec

Extracting Text From Images Using Vision APIs Hello, The Vision framework has long included text recognition capabilities. We already have a detailed tutorial that shows you how to scan an image and perform text recognition using the Vision framework. Previously, we utilized VNImageRequestHandler and VNRecognizeTextRequest to extract text from an image. Over the years, the Vision framework has evolved significantly. In iOS 18, Vision introduces new APIs that leverage the power of Swift 6. In this tutorial, we will explore how to use these new APIs to perform text recognition. You will be amazed by the improvements in the framework, which save you a significant amount of code to implement the same feature. As always, we will create a demo application to guide you through the APIs. We will build a simple app that allows users to select an image from the photo library, and the app will extract the text from it in real time. [Check out the tutorial]( If you like the tutorial and want to learn more about SwiftUI, don't forget to check out [Mastering SwiftUI](=) book. We offer free updates when iOS 18 is officially released. Regards, Simon ​ [[facebook]​](=)[[twitter]​]([[instagram]​]() ​ Unit 1104, 11/F Crawford House, 70 Queen's Road Central, Hong Kong, n/a n/a ​[Unsubscribe]( · [Preferences](​ [[Built with ConvertKit]​](=)

Marketing emails from appcoda.com

View More
Sent On

02/12/2024

Sent On

25/09/2024

Sent On

24/09/2024

Sent On

12/09/2024

Sent On

19/08/2024

Sent On

15/08/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.