Sesame vs Spokenly

Comparing the features of Sesame to Spokenly

Feature
Sesame
Spokenly

Capability Features

Agent Mode
AI Text Processing
Auto-Language Detection
Cloud Model Access with Pro
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Modes Local Only
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Export Capability
Fully Offline Operation
History and Search
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Multiple Transcription Engines
No API Key Requirement (Pro)
No Data Storage
No Signup Required
No User Account Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Priority Support
Privacy-First Design
Pronunciation Correction
Real-Time Speech Transcription
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supported Language List
100
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

GitHub Release
GPT-4 and Claude Support
GPT-4Claude
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Supported Apps
Any Mac app with text input
Supported Platforms
MaciPhone
Third-Party Integrations
OpenAIDeepgramGroq
Whisper Model Support

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
No Usage Limits (Local Models)
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Supported macOS Version
macOS 13.0+

Other Features

App Size
7MB
App Store Rating
4.9

Pricing Features

Bring Your Own Keys
Free Preview
Free Tier
Open Source
Apache 2.0
Pro Plan Price
$7.99/mo
Trial Period
Unlimited Use (Local Models)