Automated OCR Processing and Document Analysis Workflow

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This n8n workflow automates the process of uploading documents and images to Mistral AI for optical character recognition (OCR) and further comprehension. Designed for organizations handling large volumes of scanned or digital documents, it streamlines extracting text and understanding content efficiently. The workflow begins with manual triggering, allowing users to input specific document URLs or upload files from Google Drive. Files are uploaded securely to Mistral Cloud via API calls, which provide signed URLs with expiry for secure access. OCR requests are then sent to Mistral’s AI models for both PDF and image files, transforming visual content into machine-readable text, including markdown-transcribed pages. Additionally, the workflow integrates advanced understanding features, such as document analysis and classification, by sending URLs and queries to Mistral AI’s chat models. This setup is ideal for automating document processing tasks like financial statement analysis, contract review, or data extraction from various formats, significantly reducing manual effort and improving accuracy.

Node Count

>20 Nodes

Nodes Used

googleDrive, httpRequest, manualTrigger, set, stickyNote

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