PetSpeak | Web + iOS
A software-only translation platform that combines sound, behavior, and context to estimate what your pet may be communicating.
Software-only stack
Confidence scoring
Continuous learning loop
Why Use It
Move from guessing to informed decisions with contextual translations for stress, play, attention, or discomfort cues.
Every output includes confidence scoring and alternate meanings so people can trust strong signals and question weak ones.
Pet-specific learning uses your corrections to tune results for your animal instead of serving generic one-size-fits-all output.
How It Works
01
Record short sound clips in the app or browser and add optional context like location, activity, or visible behavior.
02
PetSpeak combines vocal patterns with contextual metadata to generate likely meanings, emotional state, and urgency.
03
Confirm or correct the result. That feedback continuously improves your pet profile and global model quality.
Accuracy Snapshot
Dog intent macro F1
0.82
Measured on species-balanced validation dataset.
Cat intent macro F1
0.76
Higher variance in low-volume or noisy clips.
Calibration error (ECE)
0.08
Confidence scores are explicitly tuned for reliability.
Median translation latency
1.4s
Web beta median from upload to interpreted response.
Training corpus
1.2M
Audio clips with context and feedback labels.
Last benchmark update
May 20, 2026
Metrics are refreshed every model release cycle.
Data + Training
Collected: Pitch contour, cadence, intensity changes, harmonic texture, bark/meow/growl profile.
Used for training: Builds acoustic embeddings used to predict emotional state, urgency, and likely intent classes.
Collected: Time of day, indoor or outdoor, nearby people or pets, and activity state such as feeding, walk, or rest.
Used for training: Reduces false interpretation by teaching the model how meaning shifts by environment and routine.
Collected: Tail position, ear posture, motion level, eye focus, body stance, and visible tension cues.
Used for training: Fuses non-audio cues with sound features for stronger emotion and intent classification.
Collected: Species, age range, breed optional, and known sensitivities or medical flags entered by the owner.
Used for training: Supports personalization so the model adapts to each pet's normal communication baseline.
Collected: What happened next after a translation: fed, played, calmed down, stayed distressed, or escalated.
Used for training: Creates supervised learning targets that connect predictions to real-world outcomes.
Collected: Owner confirms correct, marks incorrect, or chooses a better interpretation.
Used for training: Drives continuous fine-tuning and confidence calibration for long-term model improvement.
In-App Insights
User sees: Top interpretation with 2-3 backup interpretations.
Why it helps: Prevents overtrust in a single guess and gives better decision context.
User sees: Calm, playful, uneasy, defensive, or distressed.
Why it helps: Helps owners react with the right energy, pacing, and environment.
User sees: Low, medium, or high activation.
Why it helps: Separates normal chatter from escalating vocal behavior.
User sees: Low, moderate, or high risk signal.
Why it helps: Supports safer handling when a pet may be entering defensive behavior.
User sees: Trend score based on repeated anxious or discomfort-associated patterns.
Why it helps: Lets owners monitor chronic stress and intervene earlier.
User sees: Informational, attention soon, or immediate attention.
Why it helps: Prioritizes when to act now versus observe.
User sees: Confidence score plus low-quality audio warning when applicable.
Why it helps: Makes uncertainty explicit so users know when to trust or re-capture audio.
User sees: Likely contributing factors such as noise, separation, stranger, or resource context.
Why it helps: Gives concrete behavior-change ideas instead of only labeling the sound.
Sample Live Session
Pet: Milo (Dog) | Clip: 3.8 seconds | Environment: Front door, evening
Needs outside check and short reassurance
Why this appeared: High-pitched repeated bark burst plus door-facing posture.
Play request (22%), stranger alert (14%)
Why this appeared: Model shows plausible secondary intent to avoid overconfident output.
Uneasy but social
Why this appeared: Vocal energy elevated, but no low-frequency sustained threat pattern.
High
Why this appeared: Fast cadence, short intervals, elevated amplitude envelope.
Moderate
Why this appeared: Defensive markers detected, but no escalation sequence.
61 / 100
Why this appeared: Above this pet's 14-day baseline during similar evening context.
Attention soon
Why this appeared: Likely near-term need with low probability of immediate danger.
82% confidence
Why this appeared: Clean audio quality and complete context fields improve certainty.
Session output is probabilistic guidance, not a guaranteed literal translation or medical diagnosis.
Comparison
PetSpeak: Software-only on phone and web with no dedicated wearable requirement.
Hardware-first: Often requires proprietary collars or trackers to access full features.
PetSpeak: Shows confidence, alternatives, and low-quality warnings.
Hardware-first: Typically surfaces a single interpretation without explicit uncertainty.
PetSpeak: Learns from owner corrections and outcome labels for each pet profile.
Hardware-first: Personalization depth varies and may be limited to generic species behavior.
PetSpeak: Unified experience across web and iOS pathways.
Hardware-first: Often tied to one mobile app + device pairing workflow.
Use Cases
Workflow: Quickly interpret unusual vocal bursts and monitor stress trends over time.
Impact: Faster day-to-day decisions around play, comfort, and routine adjustments.
Workflow: Combine session notes with tone, arousal, and trigger hints during behavior programs.
Impact: More objective progress tracking across training milestones.
Workflow: Flag high-stress animals earlier and prioritize intervention resources.
Impact: Improved welfare triage and better adoption readiness insights.
Interpretation Limits & Safety
PetSpeak outputs are probability-based guidance, not guaranteed literal translation or veterinary diagnosis. Use this framework to decide when to trust a result, re-capture better data, or escalate to professional care.
Signal: Clear audio, complete context fields, and confidence above threshold with stable alternatives.
Action: Use the interpretation directly for immediate next-step decisions.
Signal: Low confidence, heavy background noise, or missing context on first pass.
Action: Record a fresh clip and add behavior notes before acting.
Signal: Persistent distress patterns, repeated high urgency, or rising aggression risk trends.
Action: Seek trainer or veterinary guidance instead of relying on app output alone.
Privacy + Data Policy
Only interpretation-relevant audio and context fields are stored for model quality and safety.
Users can define retention windows and request clip deletion from profile settings.
Training pipelines detach direct identity fields from model-training datasets.
Account owners can export history and permanently delete pet and session records.
FAQ
No. PetSpeak provides probabilistic behavior interpretation with confidence scoring, not guaranteed literal language translation.
It estimates aggression risk from acoustic and contextual patterns, but this is a safety signal, not a definitive diagnosis.
Reliability decreases in high-noise environments. The app flags low-quality captures and suggests re-recording.
Yes. Breed and age profiles can affect baseline vocal behavior, which is why personalization improves over time.
Roadmap
Live now
May 2026
Web beta interpretation, confidence scoring, and feedback-based profile learning are active.
In beta
June 2026
Advanced trigger hints, reliability calibration updates, and shelter workflow reporting.
Next
Q3 2026
iOS launch candidate, team collaboration tools, and expanded species language packs.
Pricing
Starter
$0/month
For curious pet owners exploring translation basics.
Plus
$19/month
For daily use and deeper behavior tracking.
Pro
$79/month
For trainers, rescues, and behavior specialists.
Get Started
Start with the free web plan today or join the iOS early-access waitlist.