Vocol AI vs Sesame

Comparing the features of Vocol AI to Sesame

Feature
Vocol AI
Sesame

Capability Features

Action Items Extraction
AI-Generated Summaries
Analytics Dashboard
Automatic Transcription
Collaboration Features
ShareCommentDiscussOnline Collaboration
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Highlight Hub
Keyword Search
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-Language Transcription
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supported Language List
EnglishChineseJapanese
Text and Audio Input
TextAudio
Topic Highlights
Training Epochs
5
Transcript Editing
Transcript Translation

Integration Features

API/Tool Stack Integration
GitHub Release
LLama Architecture Backbone
Meeting Recording Integration
Microsoft TeamsConference Systems
Mimi Split-RVQ Tokenizer
More Platform Integrations Planned

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Other Features

Sign-up Time
2 mins
Supported Payment Methods
Debit cardCredit cardWire transfer (Business license)

Pricing Features

Free Preview
Free Tier
Free Trial Package
No Hidden Fees
Open Source
Apache 2.0
Transcription Cost Per Minute
1
V-Points Allocation
200