Google Vision API with NodeJS | Step by Step Tutorial | Extract Text | Detect Landmark
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- เผยแพร่เมื่อ 14 ธ.ค. 2024
- Hello friends,
Welcome to another video on my TH-cam channel. I will demonstrate how you can use Google Vision API to detect landmark and extract text from an image.
Requirements:
(1) NodeJS installed
(2) GCP account with billing enabled
Google official documentation cloud.google.c...
Google Vision API NodeJS package www.npmjs.com/...
Github link for the code used in this video github.com/Raj...
You can contact me to build any kind of Chatbot.
My Fiverr profile - www.fiverr.com...
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My LinkedIn profile - / rajkkapadia
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Enjoy the life, Feel the music.
Peace.
Great video. Thanks for helping me. Best wishes from Argentina
hno vos pudiste? nose si ahora 2024 no se puede o estoy haciendo algo mal
Nice Explanation.
thanks, very good video
Thanks for the help!!! Great video!
Just a tip, try to cut a little the Reverb from your audio, it will be more clear to undesrtand the words. Best wishes from Brasil.
Hello, I appreciate your suggestions, will try to implement it. Thank you.
congratulations, you are good in explanation, teach us how you create all the chatbot with this integration, i really want to learn.
Thanks man from Brazil
Hello, I appreciate your kind words, thank you for the suggestion, I am planning to record a series to build a chatbot from scratch.
Is there any way to deploy project that is made using this api?
Thank you sir :)
awesome raj bro, I have a question when I detect Hindi text or Gujarati text it gave ???? in the result, as I saw it supports both languages in the documentation.
I think it is your machine that is not able to identify the characters and that is why it shows???...
Also sometimes, the vision api is not able to understand the characters and return ???
@@rajkkapadia Thanks, man! solved this have some other errors
Thanks for the video. How come Google is not billing for this? You mention this :)
Sorry for that if I have said that, but GCP charged you for every request...
thx for this help!
Thank you!
🙏