This n8n workflow enables seamless optical character recognition (OCR) of images and PDF files sent via Telegram. Users submit documents through a Telegram bot, which the workflow then processes, extracts text using Mistral OCR, and delivers the output as a downloadable Markdown file. The system incorporates file size validation, supports whitelist security for authorized users, and includes webhook configuration for flexible deployment in development or production environments. Practical scenarios include digitizing scanned documents on the go, converting images into searchable text, or automating document processing workflows within Telegram. The process begins with webhook setup, then detects and classifies uploaded files, performs OCR, converts recognized text into Markdown, and finally sends the results back through Telegram, making document digitization efficient and accessible.
Telegram OCR Bot for Automated Document Processing
Node Count | >20 Nodes |
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Nodes Used | code, convertToFile, httpRequest, if, manualTrigger, respondToWebhook, set, stickyNote, switch, telegram, webhook |
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