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Google Cloud Vision
Telegram Bot

Connect Google Cloud Vision and Telegram Bot

Explore ready-made Google Cloud Vision and Telegram Bot templates and start automating in minutes.

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Create a custom workflow

Integrate Google Cloud Vision with Telegram Bot and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Telegram Bot
Trigger: Watch Updates
Google Cloud Vision
Action: Select an action
1. Select a trigger

  • Triggers when there is a new update from your Telegram Desktop application.

2. Select an action

  • Detects potentially unsafe or undesirable content within an image.

  • Runs detection to extract handwriting from an image.

  • Detects and extracts information about entities within an image, across a broad group of categories.

  • Runs text detection / optical character recognition (OCR) to extract text from an image. If the image is a document, check the flag to optimize the detection for dense text and documents.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Google Cloud Vision and Telegram Bot.

Answer an Inline Query
Sends answer to an inline query.
Action
Compute Image Dominant Colors and Iterate the Result Array
Computes and iterates an array of dominant colors wirthin an image.
Search
Create a Chat Invite Link
Creates an additional invite link for a chat.
Action
Delete a Message
Deletes a message. A message can only be deleted if it was sent less than 48 hours ago.
Action
Detect Potentially Unsafe or Undesirable Content within an Image
Detects potentially unsafe or undesirable content within an image.
Action
Download a File
Downloads a file from the Telegram server.
Action
Edit a Chat Invite Link
Edits a non-primary invite link created by the bot.
Action
Edit a Media Message
Edits photo or video messages.
Action
Edit a Message Caption
Edits a caption of a message.
Action
Load more

Popular Google Cloud Vision and Telegram Bot workflows

Connect Google Cloud Vision and Telegram Bot with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

AI

Detect text within new Telegram images using Google Cloud Vision (OCR) and send it as a new message in Telegram

Every time a new image containing text is posted to Telegram, Make will detect the text using Google Cloud Vision (OCR) and send it as a new message to a specified Telegram channel.

Detect text within new Telegram images using Google Cloud Vision (OCR) and send it as a new message in Telegram
Use template
AI

Automatically translate text within new Telegram images using Google Cloud Vision (OCR) and Google Translate

Every time a new image containing text is posted to your Telegram channel, Make will detect the text with Google Cloud Vision (OCR), translate it into the language you want using Google Translate and send the translated text as a new message to a selected Telegram channel.

Automatically translate text within new Telegram images using Google Cloud Vision (OCR) and Google Translate
Use template

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.