Photograph handwritten logbook pages and have AI turn them into searchable digital entries.
Get email reminders before inspections, ADs, or oil changes come due.
Ask plain English questions about an aircraft's maintenance history and get answers with sources.
Track engine oil analysis results over time from lab report scans.
| iiamit/mytaillog | 0xmukesh/docusaurus-tutorial | 1tsmejp/palworld-docker-wine | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | 2021-12-27 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | hard | easy | moderate |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | general | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires Supabase setup and an Anthropic API key to run AI extraction and Q&A.
MyTailLog is a web app that helps owners of small piston aircraft keep track of their maintenance logbooks. Pilots and owners of general aviation planes are legally required to keep paper logbooks for the airframe, engine, propeller, and avionics, but those paper records are hard to search and easy to lose track of. This tool lets an owner photograph or scan their logbook pages, and an AI model reads the handwriting or print and turns it into structured, searchable entries such as dates, flight hours, work performed, and parts used. The app is clear that it is a helper index, not a legal replacement for the physical logbooks, and every extracted value should be checked against the original pages. Once entries are digitized, the app tracks recurring inspections, Airworthiness Directives, installed equipment, and weight and balance records, and it forecasts when things like annual inspections or oil changes are coming due, sending email reminders ahead of time. A feature called Ask your logbook lets an owner ask plain English questions and get answers that point back to the specific logbook entries that support them. The app can also read oil analysis lab reports and chart wear metal levels over time. It connects to MyFlightBook, another flight logging service, to pull in flight hours automatically, and it can share airworthiness and maintenance data with other apps through its own login and permission system, always with the owner's explicit consent and only in read-only form. Owners can export their data as PDF, CSV, or a full backup file that can be reimported later, and they can share access with other people such as co-owners. Behind the scenes it is built with Next.js and TypeScript, stores its data with Supabase, and uses Anthropic AI models, a stronger one for reading images and a cheaper one for text based questions. The project is free and open source, and by default the AI costs are covered by the app itself with usage limits, though owners can use their own API key for higher limits.
A free, open-source app that uses AI to digitize paper aircraft maintenance logbooks and track inspections, ADs, and flight hours for small plane owners.
Mainly JavaScript. The stack also includes Next.js, TypeScript, Tailwind.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly general.
This repo across BitVibe Labs
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