About
Guide
Feedback
About
Manual data entry from aviation logbooks is time-consuming, error-prone, and inefficient—especially when dealing with large volumes. This application was developed to solve that problem by automating the extraction and organization of logbook data using modern OCR technology.
The system allows users to upload scanned logbook images or PDFs, which are then processed using AWS Textract to extract text and form data. The extracted content is intelligently parsed and formatted into structured Excel spreadsheets, making it easy to store, analyze, and share the information.
Built on a serverless AWS architecture, the backend uses Lambda functions triggered by API Gateway, with files stored in S3. Post-processing is handled through custom Python scripts that clean and organize the OCR output, and the final Excel file is delivered directly through the browser.
By combining cloud scalability with AI-based text recognition, this tool helps aviation professionals reduce paperwork overhead and improve data reliability with minimal manual intervention.
Guide
Taking a proper screenshot
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Open “Sector” tab in Flight Folder.
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Write 3 letter Aircraft Registration on Notepad field box (Omit B- prefix) (*)
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Make a screenshot and save In IPAD Photos. (recommended to be saved in one folder, for easy search)
Application Guide
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Click the box with the plus symbol to begin.
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Select one or more screenshots to upload. Only .jpg and .png files are supported.
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Click the Submit button to start processing the files.
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When prompted, select the pilot name associated with the submission.
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After processing is complete, a table will display the extracted information.
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Click the Download .xlsx button to save the data as an Excel file.
Note
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(*) This step needed to facilitate recording the aircraft reg for the logbook, as it does not appear on the “Sector” page.
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The program can upload a maximum of 30 screenshots.
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Image must be standard IPAD screenshot on landscape orientation.
Feedback
Your feedback is much appreciated. You can also report bugs, errors, or other findings here.
Version Highlights
Version 1.0 - Closed Beta, internal use for Air Hong Kong Pilots
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Main features fully functional for the first release.
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Multi-image selection enabled: select up to 30 images at once.
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Automatic Day Time / Night Time classification for each image.
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Pilot selection: system detects who took off and landed for each flight.
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Serverless architecture deployed for faster, scalable processing.