About TrakMac
Overview
TrakMac is a voice-first macro tracking app for iOS, built by founders John and Gaelyn Jenkins, a husband-and-wife studio in Los Angeles, California. Instead of searching a food database or scanning barcodes, you tap the mic, describe what you ate out loud, and confirm the transcription.
The app uses AI to estimate calories, protein, carbohydrates, and fat from that description, then shows what you have left for the day. Your calorie and protein targets come from what you actually do in training — fitness level, mile time, plank and pull-up capacity, and a normal training week — rather than a generic height-and-weight formula.
Key Benefits
- Speak a meal instead of searching a database: tap the mic, say what you ate, and confirm the transcript.
- Get calorie, protein, carb, and fat estimates from AI for common foods and reasonable portion descriptions.
- Review flagged low-confidence estimates and edit any number before you save the log.
- Receive calorie and protein targets built from your fitness level, mile time, plank and pull-up ability, and weekly training.
- Keep logging offline: voice transcription runs on your phone and loaded food logs stay available without a connection.
- Protect your data: food log text never trains models, and the app collects no location, contacts, or advertising identifiers.
How It Works
Tap the mic on the dashboard and describe your meal in plain language, for example grilled chicken, maybe six ounces, a cup of jasmine rice, and broccoli with olive oil. Confirm the transcription, review the AI's calorie and macro estimate, and adjust any figure before you log it. The dashboard then shows the macros you have left for the day, so you can get back to your programming.
Use Cases
- Strength athletes and lifters log plated meals by voice between training sessions instead of scrolling a food database.
- Hybrid athletes and runners use targets built from mile times and weekly training volume to fuel heavy training days.
- GLP-1 patients use the app to hold protein intake together when appetite and daily calories drop.
- Post-partum mothers and people facing changing metabolic needs in midlife get estimates without weighing every ingredient.
- Former college athletes and muscular lifters whom BMI-based formulas undershoot set targets from performance markers instead.
- Home cooks eating mixed, unlabeled meals describe the plate out loud instead of saving wrappers or scanning barcodes.
Why Choose This Product
Most tracking apps plug height and weight into the same demographic formula for everyone, which misjudges people who carry more muscle or train hard. TrakMac derives body type and targets from how you move and what your week looks like, and it favors voice over barcode scanning because barcodes only cover packaged food. The team is two founders, and the app aims at strength athletes optimizing training rather than clinical nutrition.
TrakMac Pros & Cons
- Free 7-day trial with everything unlocked and no credit card
- Voice logging removes food database search and barcode scanning
- Targets built from training profile instead of a generic height/weight formula
- Transcription runs on-device, so speaking a meal works offline
- No ads, and food log text is never used to train models
- Macro estimation runs on the company's servers and needs a connection
- Estimates reach roughly 10% of a weighed log, not clinical accuracy
- Team states the app is not for people with eating disorders
- App is not medical advice for metabolic conditions, allergies, or pregnancy
Key Features
Voice Logging
You tap the mic on the dashboard, describe what you ate out loud, and confirm the transcription before it logs.
AI Macro Estimation
AI estimates calories, protein, carbs, and fat from your spoken description of common foods and reasonable portions.
Editable Estimates
The app flags low-confidence estimates and lets you edit any number before saving the entry.
Training-Based Targets
Calorie and protein targets come from your fitness level, mile time, plank and pull-up ability, and a normal training week.
Daily Macro Balance
The dashboard shows what you have left for the day after each logged meal.
Body Type From Movement
Your body type comes out of how you move and perform rather than how you look on a chart.
Offline Transcription
Voice transcription runs on your phone, so the speaking and transcribing step works without an internet connection.
Model-Training Opt-Out
Food log text is processed by the AI for estimation only and is never used to train any models.
Ad-Free Logging
The subscription keeps unlimited voice logging, AI macro estimation, and personalized targets active with no ads.
TrakMac Pricing
Pricing extracted from the product website and may change. Check the source for current details.
Frequently asked questions about TrakMac
What is TrakMac?
TrakMac is a voice-first macro tracking app for iOS built for people who train seriously. Instead of searching a food database or scanning barcodes, you describe what you ate out loud, and the app uses AI to estimate calories, protein, carbs, and fat and shows what you have left for the day.
How does voice-first macro tracking work?
You tap the mic on the dashboard, say something like grilled chicken, maybe six ounces, cup of jasmine rice, broccoli with olive oil, and confirm the transcription. TrakMac estimates calories plus protein, carbs, and fat, and you accept or adjust the numbers before logging.
How accurate is the AI calorie counting?
For common foods and reasonable portion descriptions, estimates typically fall within about 10% of a weighed log, which the team describes as accurate enough for training macros but not for medical nutrition. The app flags low-confidence estimates and lets you edit any number before saving.
Is TrakMac free?
There is a free 7-day trial with everything unlocked and no credit card. After the trial it is a subscription at $7.99 per month or $59.99 per year, which keeps unlimited voice logging, AI macro estimation, and your personalized targets active with no ads.
Does TrakMac work without the internet?
Voice transcription happens on your phone, so that part works offline. Estimating the macros runs on TrakMac's servers and needs a connection, and your food logs sync when you are online and stay available offline once they have loaded.
How is TrakMac different from MyFitnessPal?
MyFitnessPal is a large food database you search manually, while TrakMac is a voice interface where you talk and the AI does the estimating. TrakMac also builds calorie and protein targets from your training profile rather than a generic age and weight formula, and those targets sharpen the more you use it.