Extract Text from Receipts with OCR.space Table Recognition Workflow Solution

Workflow overview

Why this workflow matters

Supports knowledge capture and document intelligence use cases.

📝 Description This workflow automates the process of extracting text from receipt or document images using OCR.space and presenting the results in a clean, styled form. It’s especially useful for cases like receipt digitization, invoice parsing, table recognition, or quick OCR text extraction directly inside AlekSystem without third-party dashboards. The workflow is lightweight and self-contained - all you need is an OCR.space API key. 🔄 How it works Form Trigger – Upload File A simple form collects the image (max 1 MB) and asks whether the file contains a table. Normalize Inputs Converts the “Yes/No” response into a boolean flag isTable and keeps the uploaded file attached. OCR.space API Call Sends the uploaded image to the OCR.space API with the correct parameters: language=pol (Polish by default, can be changed) OCREngine=2 isTable flag Display Results The parsed text (ParsedResults[0].ParsedText) is rendered in a styled card with monospace formatting for easier reading and copy-paste. 🎯 Use cases Receipt OCR for expense tracking Invoice or document text digitization Table parsing from scanned files Quick OCR text preview in AlekSystem flows ⚙️ Requirements OCR.space API key (Header Authentication) AlekSystem instance running ≥ v1.20 📌 Notes & Customization Language**: change language parameter (eng, deu, etc.) to match your input. Validation**: add a file size check if you expect larger files. Error handling**: add an Error Trigger if you anticipate API rate limits. Table vs Text**: enabling isTable improves structured data parsing. 🔑 Keywords OCR, receipt parsing, document OCR, invoice automation, text extraction, table recognition, AI OCR, OCR.space, workflow automation

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