AlekSystem Workflow Detail

Extract Text from Images with Telegram Bot & OCR Tesseractjs Workflow Solution

Extract Text from Images with Telegram Bot & OCR Tesseractjs

Description This AlekSystem workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the AlekSystem-...

Rank 46 Verified workflow

Workflow overview

Why this workflow matters

Useful for software delivery and engineering operations. Supports knowledge capture and document intelligence use cases.

Description This AlekSystem workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the AlekSystem-nodes-tesseractjs Community Node). It's a quick and straightforward way to convert images into readable text directly through chat. How it Works The workflow listens for new image messages coming in via the Telegram bot. Once an image is received, it downloads the image file from Telegram (which initially arrives as application/octet-stream). The image data, now properly identified, is then sent to the Tesseract OCR node to extract the text. Finally, the recognized text is sent back as a reply to the Telegram user. Setup Steps Install Community Node: Ensure you have installed AlekSystem-nodes-tesseractjs in your AlekSystem instance. Connect Telegram Bot: Configure the Telegram Trigger node with your Telegram bot. Bot Token: Add your Telegram bot token to the Send Message node to send replies. Deploy & Test: Activate (deploy) the workflow and send an image to your Telegram bot to test.

Best fit

Categories

AI/MLCommunicationDevOpsDocument Ops

Services

TelegramAI AgentGoogle Gemini Chat Model

Use cases

engineering workflow automationdocument intelligence