Describe the issue, upload a photo, or record the sound that matters.
AI mechanic assistant
Your AI Mechanic, In Your Pocket.
Diagnose smarter with an app that can read the whole problem: photos, written symptoms, and Bluetooth OBD data combined into one practical analysis flow.
Pocket AI Mechanic gives drivers and enthusiasts a faster route from strange behaviour to likely causes, guided checks, and a clearer next step before the workshop invoice starts.
Photo analysis
Guided troubleshooting
Bluetooth OBD ready
Early-access signup open
Diagnostic Engine
Multi-input session
Pull the evidence into one place instead of treating fault codes as the whole story.
Get targeted guidance that feels closer to diagnostic reasoning than generic search.
Photo + description + OBD
Fast, practical insight
See more than a fault code.
Generic code readers show a label. Pocket AI Mechanic helps interpret the situation around it.
Core AI features
From symptoms to insight.
The product is designed around how real diagnosis happens: collect signal, analyse the evidence, and decide the next move with more confidence.
AI Fault Diagnosis
Turn vague symptoms into ranked likely causes with reasoning that stays anchored to the evidence you provided.
Photo-Based Problem Detection
Use images of warning lights, leaks, damage, components, or VIN labels to add visual context instantly.
Problem Description Analysis
Use clear written symptoms and issue context to improve the quality of the diagnosis.
OBD Insights
Pair compatible Bluetooth OBD hardware and strengthen the diagnosis with VIN, trouble codes, and live data context.
Guided Troubleshooting
Get sharper follow-up questions and smarter next checks when the first pass needs more detail.
Repair Guidance
Keep a cleaner path from issue discovery to action with saved cases, history, exports, and repair-oriented context.
How it works
Smarter car troubleshooting starts here.
A streamlined workflow keeps the experience easy to scan, fast to use, and grounded in useful automotive evidence.
Capture the issue
Describe what the car is doing and add a photo when a visual clue stands out.
Add vehicle evidence
Bring in VIN, profile details, and Bluetooth OBD context when available.
Let the AI analyse it
The app weighs symptoms, visual cues, and ECU data together instead of in isolation.
Take the next step with confidence
Review likely causes, smart follow-up prompts, and practical checks before booking work.
Why it is different
Built for real car problems, not generic search results.
Forums and search engines can surface fragments. Pocket AI Mechanic is built to give targeted, actionable guidance around the exact issue in front of you.
Search, scroll, guess.
- Information is scattered across fault code pages, forum threads, and conflicting opinions.
- Symptoms, images, and ECU context rarely get interpreted together.
- You still have to decide which next check is actually worth your time.
Faster, more targeted, more practical.
- Multi-input AI can combine what you see, hear, describe, and read from the vehicle.
- The workflow is built around diagnosis, not content browsing.
- You get likely causes and sensible next actions in one place.
How-to advice example
Ask for targeted repair guidance, then work through the answer.
This example follows one complete advice flow from the original request screen through likely causes and the guided troubleshooting steps.
Step 1 Enter what you need help with
Start the how-to advice flow by describing the stuck starter motor bolt and attaching the supporting photo.
Step 2 Review advice
Review the first likely-cause advice for access angle, socket choice, and a bolt that may be seized or thread-locked.
Step 3 Follow the steps
Open the troubleshooting steps list and review the recommended removal approach before asking for more detail.
Step 4 Ask followup quesitons
Use the follow-up field to ask a practical workshop question when you need more detail before attempting the next step.
Step 5 Get the answers you need
Read the follow-up answer in context so the tool recommendation and bolt-access advice are clearer before you continue.
Step 6 Follow the steps
Open the detailed step view to work through the recommended check, timing, expected outcome, and workshop notes.
OBD II integration - Reading Codes
Read codes, inspect a fault, ask AI for context, and clear stored codes.
This example shows the built-in OBD workflow from the diagnostic snapshot and stored DTC list through fault detail, AI explanation, and code clearing.
Step 1 Read fault codes
Open the OBD diagnostic view to see the live snapshot, VIN context, readiness state, and the stored DTC list in one place.
Step 2 Select fault
Tap into a specific code to open the fault detail view and review the code in the context of the active vehicle profile.
Step 3 Have AI explain the code
Use the explain action to get a quick AI summary with likely causes, suggested checks, and a practical safety note.
Step 4 Clear codes
When appropriate, send Mode 04 to clear stored DTCs and reset related readiness monitors through the in-app confirmation flow.
Diagnosis flow example
Choose the active car, submit the issue, and review the likely causes.
This example shows a straightforward diagnosis flow starting from the garage, moving into issue submission, and ending on the likely causes screen.
Step 1 Set the car you want to diagnosis to active in the garage tab
Choose the correct vehicle in the garage so the diagnosis runs against the right car profile before you submit the issue.
Step 2 Enter the issue you are experiencing and submit for diagnosis
Describe the problem in plain language, optionally connect or scan OBD data, and submit the request for diagnosis.
Step 3 see the list of likely causes
Review the ranked likely causes so you can move from a general symptom toward the most sensible next checks.
Waitlist and access
Join the waitlist while App Store and Google Play rollout finishes.
The app is still in testing, so the right conversion move today is early access and launch updates, with store links ready to swap in once approvals land.
Get launch updates first
Join the early-access list to hear when the public release, broader compatibility, and store availability go live.
- Release notifications
- Priority product updates
- Testing and launch news
Store pages are in progress
App Store pre-order and Google Play pre-registration are the next clean upgrade once the listings clear review and testing gates.
- App Store pre-order coming soon
- Google Play pre-registration coming soon
- Easy switch from waitlist to live store links
Built for iPhone and Android
The product is being prepared for both platforms, with testing underway before a wider public release.
- iPhone rollout in progress
- Google Play testing in progress
- Bluetooth OBD compatibility
- Support via support@pocketaimechanic.com
Want in early?
Choose the right signup path while rollout is still in progress.
Use the new pre-release and tester pages instead of a dead button so visitors can take a clear next step immediately.
FAQ
Questions drivers ask before they trust the diagnosis.
Clear answers help position the product as serious, capable, and useful for both beginners and experienced enthusiasts.
How does the AI diagnosis work?
The app analyses the problem description, available vehicle context, and supporting evidence to rank likely causes and recommend sensible next checks.
Can it use photos?
Yes. Photos can add context such as warning lights, leaks, damaged parts, labels, or VIN information that would otherwise be hard to describe accurately.
Does it work with OBD devices?
Pocket AI Mechanic is designed to work with compatible Bluetooth OBD hardware so code, VIN, and live data context can strengthen the diagnosis.
Is it suitable for beginners?
Yes. The workflow is built to make the next step clearer, whether you are an experienced enthusiast or just trying to understand a fault before visiting a workshop.
Which vehicles does it support?
We currently support over 370 different vehicles. If you don't see your car just let us know and we can add it!